Fei‐Yue Wang

55.2k total citations · 30 hit papers
1.2k papers, 37.9k citations indexed

About

Fei‐Yue Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Fei‐Yue Wang has authored 1.2k papers receiving a total of 37.9k indexed citations (citations by other indexed papers that have themselves been cited), including 248 papers in Artificial Intelligence, 234 papers in Computer Vision and Pattern Recognition and 215 papers in Control and Systems Engineering. Recurrent topics in Fei‐Yue Wang's work include Autonomous Vehicle Technology and Safety (109 papers), Traffic Prediction and Management Techniques (100 papers) and Traffic control and management (99 papers). Fei‐Yue Wang is often cited by papers focused on Autonomous Vehicle Technology and Safety (109 papers), Traffic Prediction and Management Techniques (100 papers) and Traffic control and management (99 papers). Fei‐Yue Wang collaborates with scholars based in China, United States and Macao. Fei‐Yue Wang's co-authors include Yisheng Lv, Yong Yuan, Li Li, Yanjie Duan, Kunfeng Wang, Xiao Wang, William Zhu, Zhengxi Li, Wenwen Kang and Dongpu Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and PLoS ONE.

In The Last Decade

Fei‐Yue Wang

1.1k papers receiving 36.7k citations

Hit Papers

Traffic Flow Prediction W... 2003 2026 2010 2018 2014 2011 2019 2010 2009 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fei‐Yue Wang 9.3k 7.6k 6.9k 6.5k 5.9k 1.2k 37.9k
MengChu Zhou 5.6k 0.6× 11.3k 1.5× 2.2k 0.3× 2.4k 0.4× 4.9k 0.8× 1.3k 51.0k
David Silver 7.8k 0.8× 22.8k 3.0× 1.8k 0.3× 4.1k 0.6× 7.8k 1.3× 99 48.4k
Fred Glover 4.4k 0.5× 10.4k 1.4× 2.1k 0.3× 1.9k 0.3× 2.2k 0.4× 400 37.2k
Marco Dorigo 5.4k 0.6× 22.8k 3.0× 1.8k 0.3× 1.4k 0.2× 6.6k 1.1× 354 53.2k
Ioannis Antonoglou 5.1k 0.5× 15.6k 2.1× 1.3k 0.2× 2.7k 0.4× 5.1k 0.9× 6 32.8k
Kalyanmoy Deb 12.4k 1.3× 40.8k 5.4× 4.1k 0.6× 3.4k 0.5× 4.6k 0.8× 566 101.6k
Alex Graves 4.2k 0.5× 18.2k 2.4× 1.4k 0.2× 2.2k 0.3× 7.8k 1.3× 40 36.5k
Hui Xiong 1.5k 0.2× 10.6k 1.4× 2.4k 0.4× 1.2k 0.2× 3.7k 0.6× 624 26.5k
Koray Kavukcuoglu 4.7k 0.5× 15.6k 2.1× 1.2k 0.2× 2.6k 0.4× 7.7k 1.3× 35 35.5k
Michel Gendreau 2.0k 0.2× 3.9k 0.5× 6.0k 0.9× 8.6k 1.3× 1.6k 0.3× 407 27.0k

Countries citing papers authored by Fei‐Yue Wang

Since Specialization
Citations

This map shows the geographic impact of Fei‐Yue Wang'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 Fei‐Yue Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei‐Yue Wang more than expected).

Fields of papers citing papers by Fei‐Yue Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei‐Yue Wang. 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 Fei‐Yue Wang. The network helps show where Fei‐Yue Wang may publish in the future.

Co-authorship network of co-authors of Fei‐Yue Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Fei‐Yue Wang. A scholar is included among the top collaborators of Fei‐Yue Wang 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 Fei‐Yue Wang. Fei‐Yue Wang 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.
Tian, Chunwei, Zhe Peng, Wangmeng Zuo, et al.. (2025). A survey on deep learning fundamentals. Artificial Intelligence Review. 58(12).
3.
Stapleton, Larry, Fei‐Yue Wang, Mariana Netto, et al.. (2024). Shaping the future of advanced automation and control systems for society strategic directions and multidisciplinary collaborations of IFAC's social systems coordinating committee. Annual Reviews in Control. 58. 100967–100967. 1 indexed citations
4.
Wu, Jingda, et al.. (2024). Recent advances in reinforcement learning-based autonomous driving behavior planning: A survey. Transportation Research Part C Emerging Technologies. 164. 104654–104654. 28 indexed citations
5.
Lu, Jingwei, Xingxia Wang, Qinglai Wei, & Fei‐Yue Wang. (2024). Nearly optimal stabilization of unknown continuous-time nonlinear systems: A new parallel control approach. Neurocomputing. 578. 127421–127421. 4 indexed citations
6.
Wang, Fei‐Yue, Song Xue, Yongde Liu, et al.. (2024). Adsorption of diclofenac by a novel H2SO4-CTAB co-modified granular spent bleaching earth carbon: Preparation, performance and mechanism. Colloids and Surfaces A Physicochemical and Engineering Aspects. 702. 135131–135131.
9.
Zheng, Wenbo & Fei‐Yue Wang. (2024). Do the best of all together: Hierarchical spatial-frequency fusion transformers for animal re-identification. Information Fusion. 113. 102612–102612.
10.
Chen, Liangming, Long Jin, Mingsheng Shang, & Fei‐Yue Wang. (2024). Enhancing Representation Power of Deep Neural Networks With Negligible Parameter Growth for Industrial Applications. IEEE Transactions on Systems Man and Cybernetics Systems. 54(11). 6837–6848. 1 indexed citations
11.
Wang, Jian, et al.. (2024). Intelligent Generation of Test Cases for a Parallel Testing System: A Case Study on Railway Systems. IEEE Intelligent Transportation Systems Magazine. 17(3). 6–17. 1 indexed citations
12.
Wang, Fei‐Yue, et al.. (2024). Neural-Dynamics-Based Active Steering Control for Autonomous Vehicles with Noises. 436–441. 3 indexed citations
13.
Zhu, Meixin, Xinhu Zheng, Hui Zhong, et al.. (2024). BEVGPT: Generative Pre-trained Foundation Model for Autonomous Driving Prediction, Decision-Making, and Planning. IEEE Transactions on Intelligent Vehicles. 1–13. 12 indexed citations
14.
Zhao, Mingyang, et al.. (2024). Geometry-Guided Neural Implicit Surface Reconstruction. IEEE Transactions on Computational Social Systems. 11(6). 7898–7908. 1 indexed citations
15.
Li, Lefei & Fei‐Yue Wang. (2023). Parallel Services. 3 indexed citations
16.
Stapleton, Larry, Fei‐Yue Wang, Mariana Netto, et al.. (2023). Control Challenges for Social Systems Milestone Survey: Current Status and Future Vision. IFAC-PapersOnLine. 56(2). 320–325. 1 indexed citations
17.
Zhang, Hui, Xuan Li, & Fei‐Yue Wang. (2021). The basic framework and key algorithms of parallel vision. Journal of Image and Graphics. 26(1). 82–92. 4 indexed citations
18.
Li, Zhishuai, Gang Xiong, Yuanyuan Chen, et al.. (2019). A Hybrid Deep Learning Approach with GCN and LSTM for Traffic Flow Prediction. 1929–1933. 86 indexed citations
19.
Wang, Fei‐Yue, Daniel Zeng, Christoph Stiller, et al.. (2014). IEEE ITSC 2014. IEEE Intelligent Transportation Systems Magazine. 6(3). 8–9.
20.
Zhang, Youxiang, et al.. (2012). Brushless doubly-fed machines with magnetic barrier rotor. Northumbria Research Link (Northumbria University). 1 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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