Citation Metrics Source: Google Scholar · Updated: 2026-06-30 02:41 (JST)

AllSince 2021
Citations885839
h-index1616
i10-index2222
2019
2020
2021
2022
2023
2024
2025
2026
Preprints (4) Citations: 20

[P004] Recovering stranded discrimination in knowledge tracing: per-item bias correction via empirical-bayes shrinkage

Xiaoran Yan, Cheng Tang, Atsushi Shimada

2026.06 · arXiv preprint arXiv:2606.14123

[P003] Capture-Calibrate-Coach: a graph-based framework for knowledge monitoring estimation and adaptive feedback

Gen Li, Li Chen, Cheng Tang, Boxuan Ma, Yuncheng Jiang, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada

2026.05 · arXiv preprint arXiv:2605.25419

[P002] Three years with classroom AI in introductory programming: shifts in student awareness, interaction, and performance

Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Cheng Tang, Atsushi Shimada, Shin'ichi Konomi

2026.03 · arXiv preprint arXiv:2603.22672

[P001] Scaffolding metacognition in programming education: understanding student-AI interactions and design implications

Cited by 20 Link

Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Cheng Tang, Yinjie Xie, Chenghao Gu, Atsushi Shimada, Shin'ichi Konomi

2025.11 · arXiv preprint arXiv:2511.04144

FY 2026 (5)

Journal Papers (2)

[J038] Short-term traffic flow prediction with a dendritic neural network-enhanced time series decomposition framework

Zhenyu Song, Shuangbao Song, Yajiao Tang, Shuangyu Song, Lixing Tan, Cheng Tang

2026.06 · Applied Soft Computing · pp. 115072

[J037] Evaluating a novel incremental-input neural network for multivariate air temperature forecasting

Zhenyu Song, Shuangyu Song, Shuangbao Song, Lixing Tan, Cheng Tang, Junkai Ji

2026.04 · Engineering Applications of Artificial Intelligence · Vol. 170 · pp. 114203

Conference Papers (3)

[C044] KPMG: a graphical Koopman-Mamba approach for financial markets

Sijie Xiong, Cheng Tang, Fumiya Okubo, Tsubasa Minematsu, Yinlong Hu, Atsushi Shimada

2026.05 · ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · pp. 1116-1120

[C043] GlucoMixer: an efficient glucose monitoring model with mixers

Sijie Xiong, Jianing Wang, Tao Sun, Cheng Tang, Fumiya Okubo, Atsushi Shimada

2026.05 · ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · pp. 2811-2815

[C042] Decomposed seasonal-trend network with rotary attention for time series forecasting

Tao Sun, Sijie Xiong, Cheng Tang, Haichuan Yang, Fumiya Okubo, Atsushi Shimada

2026.05 · ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · pp. 1216-1220

FY 2025 (19) Citations: 54

Journal Papers (5) Citations: 31

[J036] LECTOR: summarizing e-book reading content for personalized student support

Cited by 2 Link

Erwin Daniel L'opez Zapata, Cheng Tang, Valdemar vSv'abensk`y, Fumiya Okubo, Atsushi Shimada

2025.12 · International Journal of Artificial Intelligence in Education · Vol. 35(4) · pp. 2495-2533

[J035] Enhancing nonlinear dependencies of Mamba via negative feedback for time series forecasting

Cited by 6 Link

Sijie Xiong, Cheng Tang, Yuanyuan Zhang, Haoling Xiong, Youhao Xu, Atsushi Shimada

2025.12 · Applied Soft Computing · pp. 113758

[J034] Multi-granular legal information fusion with adversarial compensation: a hierarchical and logic-aware framework for robust case retrieval

Cited by 4 Link

Chunyun Meng, Cheng Tang, Yuki Todo, Weiping Ding

2025.09 · Knowledge-Based Systems · Vol. 325 · pp. 113964

[J033] DPFSI: a legal judgment prediction method based on deontic logic prompt and fusion of law article statistical information

Cited by 17 Link

Chunyun Meng, Yuki Todo, Cheng Tang, Li Luan, Zheng Tang

2025.05 · Expert Systems with Applications · Vol. 272 · pp. 126722

[J032] Extracting learning data from handwritten notes: a new approach to educational data analysis based on image segmentation and generative AI

Cited by 2 Link

Yunyu Zhou, Cheng Tang, Atsushi Shimada

2025.04 · IEEE Access

Conference Papers (14) Citations: 23

[C041] Attention Mamba: time series modeling with adaptive pooling acceleration and receptive field enhancements

Cited by 5 Link

Sijie Xiong, Shuqing Liu, Cheng Tang, Fumiya Okubo, Haoling Xiong, Atsushi Shimada

2025.10 · 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC) · pp. 4873-4878

[C040] ATLAS-DMPNN: an attention-guided topological framework for enhanced ADMET property prediction

Cited by 1 Link

Shanxian Lin, Guodong Cui, Cheng Tang, Chaofeng Zhang, Yuichi Nagata, Haichuan Yang

2025.10 · 2025 International Conference on New Trends in Computational Intelligence (NTCI) · pp. 142-147

[C039] A two-stage filtering approach for video-based document digitization

Shunsuke Kubo, Cheng Tang, Tomonori Akashi, Yuta Taniguchi

2025.10 · International Conference on Advanced Data Mining and Applications · pp. 273-280

[C038] Fine-tuned T5 models on FairytaleQA chinese dataset

Sijie Xiong, Haoling Xiong, Tao Sun, Haiqiao Liu, Fumiya Okubo, Cheng Tang, Atsushi Shimada

2025.09 · International Conference on Learning Evidence and Analytics

[C037] FERL-YOLO: facial expression recognition model of learners

Tao Sun, Li Chen, Sijie Xiong, Cheng Tang, Gen Li, Atsushi Shimada

2025.09 · International Conference on Learning Evidence and Analytics

[C036] Enhancing attention-based knowledge tracing with digital textbook interaction

Kotaro Kawabata, Fumiya Okubo, Yuta Taniguchi, Cheng Tang, Atsushi Shimada

2025.09 · International Conference on Learning Evidence and Analytics

[C035] DiaRoBERTa: a multi-party dialogue model for multi-skill recognition in classroom collaborative problem solving discussions

Shuqing Liu, Li Chen, Sijie Xiong, Haiqiao Liu, Cheng Tang, Atsushi Shimada

2025.09 · International Conference on Learning Evidence and Analytics

[C034] Attention-seeker: dynamic self-attention scoring for unsupervised keyphrase extraction

Cited by 5 Link

Erwin Daniel Lopez Zapata, Cheng Tang, Atsushi Shimada

2025.09 · Proceedings of the 31st International Conference on Computational Linguistics · pp. 5011-5026

[C033] A distilled model for collaborative problem solving skill classification on resource-limited devices

Shuqing Liu, Li Chen, Haiqiao Liu, Cheng Tang, Fumiya Okubo, Atsushi Shimada

2025.09 · International Conference on Learning Evidence and Analytics

[C032] From reflections to motifs: a graph-based analysis of learners' knowledge construction

Cited by 1 Link

Gen Li, Li Chen, Cheng Tang, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada

2025.07 · International Conference on Artificial Intelligence in Education · pp. 299-307

[C031] EDNMs for visual analytics of learning behavior and early risk prediction

Cheng Tang, Bin Li, Haichuan Yang, Gen Li, Li Chen, Boxuan Ma, Atsushi Shimada

2025.07 · International Conference on Artificial Intelligence in Education · pp. 177-190

[C030] Classifying knowledge nodes and analyzing activation features: an integrated knowledge graph approach for collaborative problem-solving

Cited by 1 Link

Li Chen, Gen Li, Buxuan Ma, Cheng Tang, Masanori Yamada, Atsushi Shimada

2025.07 · 2025 IEEE International Conference on Advanced Learning Technologies (ICALT) · pp. 107-111

[C029] Single-agent vs. Multi-agent LLM strategies for automated student reflection assessment

Cited by 7 Link

Gen Li, Li Chen, Cheng Tang, Valdemar vSv'abensk`y, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada

2025.06 · Pacific-Asia Conference on Knowledge Discovery and Data Mining · pp. 300-311

[C028] GluTANN: transformer-based continuous glucose monitoring model with ANN attention

Cited by 3 Link

Sijie Xiong, Youhao Xu, Cheng Tang, Jianing Wang, Shuqing Liu, Atsushi Shimada

2025.05 · 2025 IEEE Conference on Artificial Intelligence (CAI) · pp. 543-548

FY 2024 (24) Citations: 149

Journal Papers (11) Citations: 96

[J031] MFLSCI: multi-granularity fusion and label semantic correlation information for multi-label legal text classification

Cited by 13 Link

Chunyun Meng, Yuki Todo, Cheng Tang, Li Luan, Zheng Tang

2025.01 · Engineering Applications of Artificial Intelligence · Vol. 139 · pp. 109604

[J030] Enhancing convolutional neural network robustness against image noise via an artificial visual system

Cited by 8 Link

Bin Li, Yuki Todo, Sichen Tao, Cheng Tang, Yu Wang

2025.01 · Mathematics · Vol. 13(1) · pp. 142

[J029] A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency

Cited by 7 Link

Cheng Tang, Yuki Todo, Sachiko Kodera, Rong Sun, Atsushi Shimada, Akimasa Hirata

2024.11 · Neural Networks · Vol. 179 · pp. 106527

[J028] Hyperspectral image classification based on double-hop graph attention multiview fusion network

Cited by 4 Link

Ying Cui, Li Luo, Lu Wang, Liwei Chen, Shan Gao, Chunhui Zhao, Cheng Tang

2024.10 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · Vol. 17 · pp. 20080-20097

[J027] Improving the artificial bee colony algorithm with a proprietary estimation of distribution mechanism for protein-ligand docking

Cited by 6 Link

Shuangbao Song, Cheng Tang, Zhenyu Song, Jia Qu, Xingqian Chen

2024.08 · Applied Soft Computing · Vol. 161 · pp. 111732

[J026] Attention-based artificial neural network for student performance prediction based on learning activities

Cited by 22 Link

Sukrit Leelaluk, Cheng Tang, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada

2024.07 · IEEE Access · Vol. 12 · pp. 100659-100675

[J025] An improved weighted cross-entropy-based convolutional neural network for auxiliary diagnosis of pneumonia

Cited by 12 Link

Zhenyu Song, Zhanling Shi, Xuemei Yan, Bin Zhang, Shuangbao Song, Cheng Tang

2024.07 · Electronics · Vol. 13(15) · pp. 2929

[J024] A framework of specialized knowledge distillation for Siamese tracker on challenging attributes

Cited by 1 Link

Yiding Li, Atsushi Shimada, Tsubasa Minematsu, Cheng Tang

2024.07 · Machine Vision and Applications · Vol. 35(4) · pp. 94

[J023] Dendritic neural network: a novel extension of dendritic neuron model

Cited by 21 Link

Cheng Tang, Junkai Ji, Yuki Todo, Atsushi Shimada, Weiping Ding, Akimasa Hirata

2024.06 · IEEE Transactions on Emerging Topics in Computational Intelligence · Vol. 8(3) · pp. 2228-2239

[J022] Assessing residential building energy efficiency using evolutionary dendritic neural regression

Cited by 2 Link

Zhenyu Song, Yajiao Tang, Shuangbao Song, Bin Zhang, Cheng Tang

2024.05 · Electronics · Vol. 13(10) · pp. 1803

[J021] A hardware-based orientation detection system using dendritic computation

Masahiro Nomura, Tianqi Chen, Cheng Tang, Yuki Todo, Rong Sun, Bin Li, Zheng Tang

2024.04 · Electronics · Vol. 13(7) · pp. 1367

Conference Papers (13) Citations: 53

[C027] Knowledge distillation in RNN-attention models for early prediction of student performance

Cited by 9 Link

Sukrit Leelaluk, Cheng Tang, Valdemar vSv'abensk`y, Atsushi Shimada

2025.03 · Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing · pp. 64-73

[C026] Automated recommendations for revising lecture slides using reading activity data

Cited by 1 Link

Erwin D. LOPEZ Z., Cheng TANG, Yuta TANIGUCHI, Fumiya OKUBO, Atsushi SHIMADA

2024.11 · International Conference on Computers in Education

[C025] A three-step knowledge graph approach using LLMs in collaborative problem solving-based STEM education

Cited by 9 Link

Li Chen, Gen Li, Boxuan Ma, Cheng Tang, Masanori Yamada

2024.10 · International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2024)

[C024] QA-knowledge attention for exam performance prediction

Yongle Ren, Cheng Tang, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada

2024.09 · European Conference on Technology Enhanced Learning · pp. 375-389

[C023] デジタル教科書のログデータを用いた Knowledge Tracing モデルの拡張

Cited by 1 Link

川畑考太朗, 大久保文哉, 谷口雄太, 唐成, 島田敬士

2024.08 · IEICE Conferences Archives

[C022] Visual analytics of learning behavior based on the dendritic neuron model

Cited by 3 Link

Cheng Tang, Li Chen, Gen Li, Tsubasa Minematsu, Fumiya Okubo, Yuta Taniguchi, Atsushi Shimada

2024.07 · International Conference on Knowledge Science, Engineering and Management · pp. 192-203

[C021] LLM-driven ontology learning to augment student performance analysis in higher education

Cited by 16 Link

Gen Li, Cheng Tang, Li Chen, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada

2024.07 · International Conference on Knowledge Science, Engineering and Management · pp. 57-68

[C020] How do strategies for using ChatGPT affect knowledge comprehension?

Cited by 8 Link

Li Chen, Gen Li, Boxuan Ma, Cheng Tang, Fumiya Okubo, Atsushi Shimada

2024.07 · International conference on artificial intelligence in education · pp. 151-162

[C019] Chaotic map-coded evolutionary algorithms for dendritic neuron model optimization

Cited by 3 Link

Haichuan Yang, Yifei Yang, Yuxin Zhang, Cheng Tang, Koichi Hashimoto, Yuichi Nagata

2024.06 · 2024 IEEE Congress on Evolutionary Computation (CEC) · pp. 1-8

[C018] Binocular disparity unveils the mechanisms of stereo feature selectivity: orientation and motion

Bin Li, Yuki Todo, Zheng Tang, Cheng Tang

2024.06 · 2024 International Joint Conference on Neural Networks (IJCNN) · pp. 1-7

[C017] Visibility-aware multi-teacher knowledge distillation for Siamese tracker

Yiding Li, Cheng Tang, Tsubasa Minematsu, Atsushi Shimada

2024.05 · 2024 7th International Symposium on Autonomous Systems (ISAS) · pp. 1-6

[C016] A novel approach: enhancing data extraction from student handwritten notes using multi-task u-net and GPT-4

Cited by 2 Link

YunYu Zhou, Cheng Tang, Atsushi Shimada

2024.05 · 2024 7th International Symposium on Autonomous Systems (ISAS) · pp. 1-6

[C015] A high-speed and lightweight Siamese tracker based on RepVGG network

Cited by 1 Link

Yiding Li, Cheng Tang, Tsubasa Minematsu, Atsushi Shimada

2024.05 · 2024 7th International Symposium on Autonomous Systems (ISAS) · pp. 1-6

FY 2023 (6) Citations: 36

Journal Papers (2) Citations: 30

[J020] Sensitivity of electrocardiogram on electrode-pair locations for wearable devices: computational analysis of amplitude and waveform distortion

Cited by 15 Link

Kiyoto Sanjo, Kazuki Hebiguchi, Cheng Tang, Essam A Rashed, Sachiko Kodera, Hiroyoshi Togo, Akimasa Hirata

2024.03 · Biosensors · Vol. 14(3) · pp. 153

[J019] A complex network-based firefly algorithm for numerical optimization and time series forecasting

Cited by 15 Link

Zhenyu Song, Cheng Tang, Shuangbao Song, Yajiao Tang, Jinhai Li, Junkai Ji

2023.04 · Applied Soft Computing · Vol. 137 · pp. 110158

Conference Papers (4) Citations: 6

[C014] Educational data analysis using generative AI

Cited by 3 Link

Abdul Berr, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada

2024.03 · LAK Workshops · pp. 47-55

[C013] Analysis of adapter in attention of change detection vision transformer

Cited by 1 Link

Ryunosuke Hamada, Tsubasa Minematsu, Cheng Tang, Atsushi Shimada

2024.03 · Proceedings of the Asian Conference on Computer Vision · pp. 34-49

[C012] A deep learning grade prediction model of online learning performance based on knowledge learning representation

Shuaileng Yuan, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada

2024.03 · LAK Workshops

[C011] Dendritic neural regression model trained by chicken swarm optimization algorithm for bank customer churn prediction

Cited by 2 Link

Qi Wang, Haiyan Zhang, Junkai Ji, Cheng Tang, Yajiao Tang

2023.11 · International Conference on Neural Information Processing · pp. 254-265

FY 2022 (9) Citations: 308

Journal Papers (8) Citations: 299

[J018] A model of the starburst amacrine cell for motion direction detection

Fenggang Yuan, Hiroyoshi Todo, Cheng Tang, Zheng Tang, Yuki Todo

2023.02 · International Journal of Bio-Inspired Computation · Vol. 21(2) · pp. 69-80

[J017] A model of amacrine cells for orientation detection.

Fenggang Yuan, Cheng Tang, Zheng Tang, Yuki Todo

2023.02 · Electronic Research Archive · Vol. 31(4)

[J016] Adopting a dendritic neural model for predicting stock price index movement

Cited by 30 Link

Yajiao Tang, Zhenyu Song, Yulin Zhu, Maozhang Hou, Cheng Tang, Junkai Ji

2022.11 · Expert Systems with Applications · Vol. 205 · pp. 117637

[J015] A survey on machine learning models for financial time series forecasting

Cited by 186 Link

Yajiao Tang, Zhenyu Song, Yulin Zhu, Huaiyu Yuan, Maozhang Hou, Junkai Ji, Cheng Tang, Jianqiang Li

2022.11 · Neurocomputing · Vol. 512 · pp. 363-380

[J014] The mechanism of orientation detection based on color-orientation jointly selective cells

Cited by 7 Link

Bin Li, Yuki Todo, Zheng Tang, Cheng Tang

2022.10 · Knowledge-Based Systems · Vol. 254 · pp. 109715

[J013] DenseHashNet: a novel deep hashing for medical image retrieval

Cited by 10 Link

Chuansheng Liu, Weiping Ding, Chun Cheng, Cheng Tang, Jiashuang Huang, Haipeng Wang

2022.09 · IEEE Journal of Radio Frequency Identification · Vol. 6 · pp. 697-702

[J012] A survey on dendritic neuron model: mechanisms, algorithms and practical applications

Cited by 49 Link

Junkai Ji, Cheng Tang, Jiajun Zhao, Zheng Tang, Yuki Todo

2022.06 · Neurocomputing · Vol. 489 · pp. 390-406

[J011] A novel motion direction detection mechanism based on dendritic computation of direction-selective ganglion cells

Cited by 17 Link

Cheng Tang, Yuki Todo, Junkai Ji, Zheng Tang

2022.04 · Knowledge-Based Systems · Vol. 241 · pp. 108205

Conference Papers (1) Citations: 9

[C010] Evolutionary neural architecture design of liquid state machine for image classification

Cited by 9 Link

Cheng Tang, Junkai Ji, Qiuzhen Lin, Yan Zhou

2022.05 · ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · pp. 91-95

FY 2021 (9) Citations: 68

Journal Papers (5) Citations: 63

[J010] A cuckoo search algorithm with scale-free population topology

Cited by 16 Link

Cheng Tang, Shuangbao Song, Junkai Ji, Yajiao Tang, Zheng Tang, Yuki Todo

2022.02 · Expert Systems With Applications · Vol. 188 · pp. 116049

[J009] Artificial immune system training algorithm for a dendritic neuron model

Cited by 20 Link

Cheng Tang, Yuki Todo, Junkai Ji, Qiuzhen Lin, Zheng Tang

2021.12 · Knowledge-Based Systems · Vol. 233 · pp. 107509

[J008] Air quality estimation using dendritic neural regression with scale-free network-based differential evolution

Cited by 1 Link

Zhenyu Song, Cheng Tang, Jin Qian, Bin Zhang, Yuki Todo

2021.12 · Atmosphere · Vol. 12(12) · pp. 1647

[J007] Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression

Cited by 24 Link

Minhui Dong, Cheng Tang, Junkai Ji, Qiuzhen Lin, Ka-Chun Wong

2021.11 · Applied Soft Computing · Vol. 111 · pp. 107683

[J006] Adaptive self-scaling brain-storm optimization via a chaotic search mechanism

Cited by 2 Link

Zhenyu Song, Xuemei Yan, Lvxing Zhao, Luyi Fan, Cheng Tang, Junkai Ji

2021.08 · Algorithms · Vol. 14(8) · pp. 239

Conference Papers (4) Citations: 5

[C009] The mechanism of motion direction detection from gray images

Yuxiao Hua, Riku Inoue, Cheng Tang, Yuki Todo, Zheng Tang

2021.08 · Proceedings of the 2021 4th International Conference on Signal Processing and Machine Learning · pp. 12-17

[C008] An evolutionary neuron model with dendritic computation for classification and prediction

Cited by 3 Link

Cheng Tang, Zhenyu Song, Yajiao Tang, Huimei Tang, Yuxi Wang, Junkai Ji

2021.08 · International conference on intelligent computing · pp. 18-36

[C007] An efficient orientation detection mechanism inspired via orientation-selective amacrine cells

Fenggang Yuan, Cheng Tang, Yuki Todo, Zheng Tang

2021.08 · Proceedings of the 2021 4th International Conference on Signal Processing and Machine Learning · pp. 7-11

[C006] The mechanism of orientation detection based on dendritic neuron

Cited by 2 Link

Xiliang Zhang, Yuki Todo, Cheng Tang, Zheng Tang

2021.07 · 2021 IEEE 4th International Conference on Big Data and Artificial Intelligence (BDAI) · pp. 225-229

FY 2020 (7) Citations: 139

Journal Papers (3) Citations: 124

[J005] A simple dendritic neural network model-based approach for daily PM2.5 concentration prediction

Cited by 27 Link

Zhenyu Song, Cheng Tang, Junkai Ji, Yuki Todo, Zheng Tang

2021.02 · Electronics · Vol. 10(4) · pp. 373

[J004] Evolutionary dendritic neural model for classification problems

Cited by 18 Link

Xiaoxiao Qian, Cheng Tang, Yuki Todo, Qiuzhen Lin, Junkai Ji

2020.08 · Complexity · Vol. 2020(1) · pp. 6296209

[J003] A novel machine learning technique for computer-aided diagnosis

Cited by 79 Link

Cheng Tang, Junkai Ji, Yajiao Tang, Shangce Gao, Zheng Tang, Yuki Todo

2020.06 · Engineering Applications of Artificial Intelligence · Vol. 92 · pp. 103627

Conference Papers (4) Citations: 15

[C005] An adaptive scaling cuckoo search algorithm

Cited by 5 Link

Zhenyu Song, Shuangyu Song, Bin Zhang, Jin Qian, Cheng Tang, Junkai Ji

2021.03 · 2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) · pp. 562-566

[C004] Wind speed time series prediction using a single dendritic neuron model

Cited by 6 Link

Zhenyu Song, Tianle Zhou, Xuemei Yan, Cheng Tang, Junkai Ji

2020.10 · 2020 2nd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI) · pp. 140-144

[C003] Improving approximate logic neuron model by means of a novel learning algorithm

Cited by 3 Link

Jiajun Zhao, Minhui Dong, Cheng Tang, Junkai Ji, Ying He

2020.10 · International Conference on Intelligent Computing · pp. 484-496

[C002] A novel plastic neural model with dendritic computation for classification problems

Cited by 1 Link

Junkai Ji, Minhui Dong, Cheng Tang, Jiajun Zhao, Shuangbao Song

2020.10 · International Conference on Intelligent Computing · pp. 471-483

FY 2019 (2) Citations: 33

Journal Papers (1) Citations: 29

[J002] Training an approximate logic dendritic neuron model using social learning particle swarm optimization algorithm

Cited by 29 Link

Shuangyu Song, Xingqian Chen, Cheng Tang, Shuangbao Song, Zheng Tang, Yuki Todo

2019.10 · IEEE Access · Vol. 7 · pp. 141947-141959

Conference Papers (1) Citations: 4

[C001] A self-adaptive mechanism embedded gravitational search algorithm

Cited by 4 Link

Zhenyu Song, Cheng Tang, Xingqian Chen, Shuangyu Song, Junkai Ji

2019.12 · 2019 12th International Symposium on Computational Intelligence and Design (ISCID) · Vol. 1 · pp. 108-112

FY 2018 (1) Citations: 78

Journal Papers (1) Citations: 78

[J001] An artificial bee colony algorithm search guided by scale-free networks

Cited by 78 Link

Junkai Ji, Shuangbao Song, Cheng Tang, Shangce Gao, Zheng Tang, Yuki Todo

2019.01 · Information Sciences · Vol. 473 · pp. 142-165