Wei Dai

2.2k total citations
157 papers, 1.5k citations indexed

About

Wei Dai is a scholar working on Artificial Intelligence, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Wei Dai has authored 157 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 51 papers in Control and Systems Engineering and 28 papers in Mechanical Engineering. Recurrent topics in Wei Dai's work include Machine Learning and ELM (24 papers), Mineral Processing and Grinding (20 papers) and Fault Detection and Control Systems (20 papers). Wei Dai is often cited by papers focused on Machine Learning and ELM (24 papers), Mineral Processing and Grinding (20 papers) and Fault Detection and Control Systems (20 papers). Wei Dai collaborates with scholars based in China, Australia and United States. Wei Dai's co-authors include Tianyou Chai, Chunyu Yang, Ping Zhou, Depeng Li, Xiaoping Ma, Qianjin Wang, Lei Ma, Guoqing Wang, Song Zhu and Xuesong Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Wei Dai

138 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wei Dai China 21 551 497 289 205 195 157 1.5k
Xiaobin Xu China 22 496 0.9× 528 1.1× 129 0.4× 107 0.5× 174 0.9× 106 1.6k
Yupu Yang China 22 754 1.4× 656 1.3× 358 1.2× 261 1.3× 307 1.6× 97 1.9k
Jiandong Wang China 27 1.4k 2.6× 628 1.3× 167 0.6× 179 0.9× 189 1.0× 160 2.2k
Tao Wen China 21 804 1.5× 388 0.8× 209 0.7× 258 1.3× 361 1.9× 109 1.8k
Xiao He China 26 1.3k 2.3× 387 0.8× 695 2.4× 297 1.4× 228 1.2× 178 2.3k
Wenhui Fan China 20 445 0.8× 290 0.6× 102 0.4× 185 0.9× 258 1.3× 104 1.5k
Xingsheng Gu China 25 641 1.2× 760 1.5× 251 0.9× 145 0.7× 289 1.5× 187 2.4k
Alf Isaksson Sweden 23 1.1k 2.1× 310 0.6× 298 1.0× 251 1.2× 183 0.9× 88 1.9k
Hongyan Yang China 23 1.4k 2.6× 329 0.7× 434 1.5× 159 0.8× 137 0.7× 94 2.1k
Chao Lu China 36 576 1.0× 893 1.8× 356 1.2× 283 1.4× 145 0.7× 93 3.8k

Countries citing papers authored by Wei Dai

Since Specialization
Citations

This map shows the geographic impact of Wei Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Dai more than expected).

Fields of papers citing papers by Wei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wei Dai. The network helps show where Wei Dai may publish in the future.

Co-authorship network of co-authors of Wei Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Dai. A scholar is included among the top collaborators of Wei Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Dai. Wei Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yuan, Guan, et al.. (2025). Enhancing Multimodal Action Recognition With Semantic-Guided Feature Disentangled and Multichannel Adaptive Feature Fusion. IEEE Transactions on Instrumentation and Measurement. 74. 1–17.
2.
Liu, Xin, et al.. (2025). Lightweight Approach for Nonlinear State-Space System Identification Subjected to Skewed Measurement Noise. IEEE Transactions on Automation Science and Engineering. 22. 11968–11981.
3.
4.
Xi, Xi, et al.. (2025). Heterogeneous Graph Structure Learning for Experts Selection in Academic Evaluation. IEEE Transactions on Computational Social Systems. 12(6). 4677–4688.
5.
Dong, Liang, et al.. (2025). Advancing coal and gangue classification: A novel approach using 3D-CT data and deep learning. Measurement. 250. 117118–117118.
6.
Dai, Wei, et al.. (2024). Geometric constructive network with block increments for lightweight data-driven industrial process modeling. Journal of Process Control. 134. 103159–103159. 5 indexed citations
7.
Dai, Wei, et al.. (2024). Stochastic configuration networks with improved supervisory mechanism. Information Sciences. 677. 120885–120885. 6 indexed citations
8.
Wang, Qianjin, et al.. (2024). A novel stochastic configuration network with enhanced feature extraction for industrial process modeling. Neurocomputing. 594. 127833–127833. 3 indexed citations
9.
Zhang, Qirui, Wei Dai, Chunyu Yang, & Xinkai Chen. (2024). Vulnerability analysis for a class of nonlinear cyber–physical systems under stealthy attacks. Automatica. 167. 111743–111743. 4 indexed citations
10.
Wang, Dianhui, et al.. (2024). Predicting Particle Size of Copper Ore Grinding With Stochastic Configuration Networks. IEEE Transactions on Industrial Informatics. 20(11). 12969–12978. 4 indexed citations
11.
Yang, S.J., et al.. (2024). Research on Mode Switching Vibration Suppression Strategy of Hybrid Electric Vehicle With Active Motor Response. IEEE Transactions on Transportation Electrification. 11(2). 5470–5483.
12.
Dai, Wei, et al.. (2024). An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application. IEEE Transactions on Industrial Informatics. 20(12). 13622–13632. 3 indexed citations
13.
Li, Juying, Ying Liu, Li Cao, et al.. (2023). Enhanced and accelerated degradation of PFOA using visible light—Applying semiconductor carbon nitride as an accelerator. Journal of environmental chemical engineering. 12(1). 111653–111653. 5 indexed citations
14.
Dai, Wei, Huiyuan Liu, Tingjing Zhang, et al.. (2023). Dairy product consumption was associated with a lower likelihood of non-alcoholic fatty liver disease: A systematic review and meta-analysis. Frontiers in Nutrition. 10. 1119118–1119118. 11 indexed citations
15.
Zhou, Ping, et al.. (2023). Online Sequential Sparse Robust Neural Networks With Random Weights for Imperfect Industrial Streaming Data Modeling. IEEE Transactions on Automation Science and Engineering. 21(2). 1163–1175. 8 indexed citations
16.
Ma, Lei, et al.. (2023). Recursive Watermarking-Based Transient Covert Attack Detection for the Industrial CPS. IEEE Transactions on Information Forensics and Security. 18. 1709–1719. 20 indexed citations
17.
Zhang, Lingzhi, Lei Xie, Wei Dai, Shan Lu, & Hongye Su. (2023). Operational Optimal Tracking Control for Industrial Multirate Systems Subject to Unknown Disturbances. IEEE Transactions on Systems Man and Cybernetics Systems. 54(1). 180–192. 4 indexed citations
18.
Zhang, Lingzhi, et al.. (2022). Event-Triggered Constrained Optimal Control for Organic Rankine Cycle Systems via Safe Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 7126–7137. 8 indexed citations
19.
Zhao, Jianguo, Chunyu Yang, Wei Dai, & Weinan Gao. (2021). Reinforcement Learning-Based Composite Optimal Operational Control of Industrial Systems With Multiple Unit Devices. IEEE Transactions on Industrial Informatics. 18(2). 1091–1101. 33 indexed citations
20.
Wang, Qianjin, Linna Zhou, Wei Dai, & Xiaoping Ma. (2017). H∞ Control for T‐S Fuzzy Singularly Perturbed Switched Systems. Mathematical Problems in Engineering. 2017(1). 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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