Fangwei Zhong

1.1k total citations
19 papers, 573 citations indexed

About

Fangwei Zhong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Fangwei Zhong has authored 19 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Control and Systems Engineering. Recurrent topics in Fangwei Zhong's work include Video Surveillance and Tracking Methods (7 papers), Reinforcement Learning in Robotics (6 papers) and Robot Manipulation and Learning (4 papers). Fangwei Zhong is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Reinforcement Learning in Robotics (6 papers) and Robot Manipulation and Learning (4 papers). Fangwei Zhong collaborates with scholars based in China, United States and Sweden. Fangwei Zhong's co-authors include Yizhou Wang, Ziqi Zhang, Wenhan Luo, Peng Sun, Weichao Qiu, Tong Zhang, Wei Liu, Tae Soo Kim, Yi Zhang and Siyuan Qiao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Networks and Machine Learning.

In The Last Decade

Fangwei Zhong

18 papers receiving 554 citations

Peers

Fangwei Zhong

CVPR

CSE

GEOLO

Chi Hay Tong Canada

Shaowu Yang China

Piotr Rudol Sweden

Tianbo Liu Hong Kong

Krishna Murthy Jatavallabhula United States

Felix Ruess Germany

Qilong Zhang China

Guohao Peng Singapore

Samuel Prentice United States

Chi Hay Tong Canada

Fangwei Zhong

231 ×0.5

CVPR

319 ×1.2

116 ×1.1

64 ×0.9

CSE

64 ×0.9

GEOLO

Citations per year, relative to Fangwei Zhong Fangwei Zhong (= 1×) peers Chi Hay Tong

Countries citing papers authored by Fangwei Zhong

Since Specialization

Citations

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

Fields of papers citing papers by Fangwei Zhong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fangwei Zhong. 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 Fangwei Zhong. The network helps show where Fangwei Zhong may publish in the future.

Co-authorship network of co-authors of Fangwei Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Fangwei Zhong. A scholar is included among the top collaborators of Fangwei Zhong 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 Fangwei Zhong. Fangwei Zhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Wu, Kui, Shuxiang Xu, Hao Chen, et al.. (2025). VLM Can Be a Good Assistant: Enhancing Embodied Visual Tracking with Self-Improving Vision-Language Models. 13154–13161. 1 indexed citations

Ji, Jiaming, et al.. (2025). ReDMan: reliable dexterous manipulation with safe reinforcement learning. Machine Learning. 114(8).

Zhong, Fangwei, et al.. (2024). RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation. Neural Networks. 174. 106129–106129. 5 indexed citations

Zhong, Fangwei, et al.. (2023). Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 2804–2818. 18 indexed citations

Zhong, Fangwei, et al.. (2023). RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3705–3714. 6 indexed citations

Ci, Hai, Wentao Zhu, Xiaoxuan Ma, et al.. (2023). GFPose: Learning 3D Human Pose Prior with Gradient Fields. 4800–4810. 33 indexed citations

Zhong, Fangwei, et al.. (2023). Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation. IEEE Robotics and Automation Letters. 8(6). 3900–3907. 3 indexed citations

Zhong, Fangwei, et al.. (2021). Network intrusion detection method based on deep learning. Journal of Physics Conference Series. 1966(1). 12051–12051. 1 indexed citations

Zhong, Fangwei, et al.. (2021). Application process of machine learning in cyberspace security. 518. 865–869. 1 indexed citations

10.

Xu, Jing, Fangwei Zhong, & Yizhou Wang. (2020). Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks. arXiv (Cornell University). 33. 10053–10064. 1 indexed citations

11.

Li, Jing, et al.. (2020). Pose-Assisted Multi-Camera Collaboration for Active Object Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 759–766. 27 indexed citations

12.

Qiu, Weichao, et al.. (2019). CRAVES: Controlling Robotic Arm With a Vision-Based Economic System. 4209–4218. 30 indexed citations

13.

Zhong, Fangwei, et al.. (2019). AD-VAT+: An Asymmetric Dueling Mechanism for Learning and Understanding Visual Active Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(5). 1467–1482. 28 indexed citations

14.

Luo, Wenhan, Peng Sun, Fangwei Zhong, et al.. (2019). End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(6). 1317–1332. 95 indexed citations

15.

Qiu, Weichao, et al.. (2018). Towards Accurate Task Accomplishment with Low-Cost Robotic Arms. arXiv (Cornell University). 1 indexed citations

16.

Zhong, Fangwei, et al.. (2018). AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking.. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 12 indexed citations

17.

Luo, Wenhan, et al.. (2018). End-to-end Active Object Tracking via Reinforcement Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 7. 3286–3295. 15 indexed citations

18.

Zhong, Fangwei, et al.. (2018). Detect-SLAM: Making Object Detection and SLAM Mutually Beneficial. 1001–1010. 202 indexed citations

19.

Qiu, Weichao, Fangwei Zhong, Yi Zhang, et al.. (2017). UnrealCV. 1221–1224. 94 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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