Hang Zhong

1.7k total citations
69 papers, 1.1k citations indexed

About

Hang Zhong is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Hang Zhong has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 24 papers in Control and Systems Engineering and 24 papers in Aerospace Engineering. Recurrent topics in Hang Zhong's work include Robotics and Sensor-Based Localization (19 papers), Adaptive Control of Nonlinear Systems (16 papers) and Robotic Path Planning Algorithms (16 papers). Hang Zhong is often cited by papers focused on Robotics and Sensor-Based Localization (19 papers), Adaptive Control of Nonlinear Systems (16 papers) and Robotic Path Planning Algorithms (16 papers). Hang Zhong collaborates with scholars based in China, United States and United Kingdom. Hang Zhong's co-authors include Yaonan Wang, Zhiqiang Miao, Hui Zhang, Rafael Fierro, Jie Lin, Q. M. Jonathan Wu, Yanjie Chen, Qi Pan, Yanan Song and Jianxu Mao and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Hang Zhong

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hang Zhong China 18 466 447 238 238 204 69 1.1k
Jian Gao China 21 301 0.6× 689 1.5× 144 0.6× 164 0.7× 350 1.7× 112 1.4k
Yilin Wu China 14 167 0.4× 511 1.1× 202 0.8× 89 0.4× 101 0.5× 58 962
Joaquín Carrasco United Kingdom 19 298 0.6× 892 2.0× 289 1.2× 226 0.9× 267 1.3× 84 1.6k
Paul Bergmann Germany 9 634 1.4× 293 0.7× 454 1.9× 54 0.2× 108 0.5× 9 2.2k
Thi Thoa Mac Vietnam 11 676 1.5× 397 0.9× 137 0.6× 390 1.6× 74 0.4× 38 1.0k
Carl D. Crane United States 15 198 0.4× 457 1.0× 115 0.5× 151 0.6× 190 0.9× 85 870
Shuhuan Wen China 18 515 1.1× 456 1.0× 207 0.9× 393 1.7× 102 0.5× 100 1.2k
Zhiqiang Miao China 23 671 1.4× 1.1k 2.4× 652 2.7× 447 1.9× 199 1.0× 110 1.8k
Jurek Z. Sąsiadek Canada 20 349 0.7× 828 1.9× 113 0.5× 782 3.3× 252 1.2× 150 1.7k
Jianxu Mao China 14 297 0.6× 192 0.4× 44 0.2× 85 0.4× 120 0.6× 71 731

Countries citing papers authored by Hang Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Hang Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Zhong. A scholar is included among the top collaborators of Hang 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 Hang Zhong. Hang Zhong 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.
Guo, Ruili, Qinghua Zhang, Yunlong Cheng, Ying Yang, & Hang Zhong. (2025). Optimal scale combination selection based on a monotonic variable precision multi-scale rough set model. International Journal of Approximate Reasoning. 187. 109569–109569.
2.
Lu, Zhongqi, Yaonan Wang, Zhiji Han, et al.. (2025). PDE-Based Adaptive Consensus Control of Leader–Follower Multiagent Systems With Dynamic Event-Triggered Strategy. IEEE Transactions on Systems Man and Cybernetics Systems. 56(1). 458–466.
3.
Wang, Yaonan, et al.. (2025). Deep Reinforcement Learning-Based Hierarchical Motion Planning Strategy for Multirotors. IEEE Transactions on Industrial Informatics. 21(6). 4324–4333.
4.
Feng, Mingtao, Hang Zhong, Yulan Guo, et al.. (2025). Advancements in 3D vision understanding using multimodal large language models. Journal of Image and Graphics. 30(6). 1744–1791.
5.
Wang, Yaonan, et al.. (2025). Human-Guided Image Feature-Based Visual-Impedance Adaptive Control for Intensive Contact Tasks. IEEE/ASME Transactions on Mechatronics. 30(6). 7786–7797.
6.
Tang, Wenjie, Yiming Jiang, Chao Zeng, Hui Zhang, & Hang Zhong. (2024). A reinforcement learning based control framework for robot gear assembly with demonstration learning and force feedback. 1–6.
7.
Zhong, Hang, et al.. (2024). Optimization-Based Single Anchor UWB Positioning System for Mobile Robots. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 1 indexed citations
8.
Wang, Yaonan, et al.. (2024). A Novel Guided Deep Reinforcement Learning Tracking Control Strategy for Multirotors. IEEE Transactions on Automation Science and Engineering. 22. 2062–2074. 2 indexed citations
9.
10.
Jiang, Yiming, et al.. (2024). Discrete‐Time Neural Network Based Mode Switching Optimal Control Scheme for Mobile Dual‐Manipulator Robots. Journal of Field Robotics. 42(5). 1665–1678. 1 indexed citations
11.
Du, Rui, et al.. (2024). VSLNet: Multimodal Data Fusion Network for Tree Species Classification in Overhead Transmission Line Corridors. IEEE Transactions on Industrial Informatics. 21(2). 1100–1109. 1 indexed citations
12.
Qian, Zhenyu Cheryl, et al.. (2024). A geometric approach for homography-based visual servo control of underactuated UAVs. Measurement and Control. 57(10). 1513–1523.
13.
Chen, Yanjie, Zhenguo Zhang, Zhiqiang Miao, et al.. (2022). Image-Based Visual Servoing of Unmanned Aerial Manipulators for Tracking and Grasping a Moving Target. IEEE Transactions on Industrial Informatics. 19(8). 8889–8899. 28 indexed citations
14.
Zhang, Hui, et al.. (2022). Review on the COVID-19 pandemic prevention and control system based on AI. Engineering Applications of Artificial Intelligence. 114. 105184–105184. 32 indexed citations
15.
Zhang, Hui, et al.. (2022). Pharmaceutical Foreign Particle Detection: An Efficient Method Based on Adaptive Convolution and Multiscale Attention. IEEE Transactions on Emerging Topics in Computational Intelligence. 6(6). 1302–1313. 7 indexed citations
16.
Wang, Yaonan, et al.. (2021). Adaptive fuzzy control of mobile robots with full-state constraints and unknown longitudinal slipping. Nonlinear Dynamics. 106(4). 3315–3330. 14 indexed citations
17.
Zhang, Hui, Yanan Song, Yurong Chen, et al.. (2021). MRSDI-CNN: Multi-Model Rail Surface Defect Inspection System Based on Convolutional Neural Networks. IEEE Transactions on Intelligent Transportation Systems. 23(8). 11162–11177. 62 indexed citations
18.
19.
Zhong, Hang, Zhiqiang Miao, Yaonan Wang, et al.. (2019). A Practical Visual Servo Control for Aerial Manipulation Using a Spherical Projection Model. IEEE Transactions on Industrial Electronics. 67(12). 10564–10574. 49 indexed citations
20.
Zhong, Hang, et al.. (2016). Adaptive robust RBFNNs-based model estimator for a small quadrotor aircraft robot. 25. 1–6. 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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