Chun-Yang Zhang

785 total citations
32 papers, 582 citations indexed

About

Chun-Yang Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Chun-Yang Zhang has authored 32 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Chun-Yang Zhang's work include Advanced Graph Neural Networks (9 papers), Complex Network Analysis Techniques (6 papers) and Human Pose and Action Recognition (4 papers). Chun-Yang Zhang is often cited by papers focused on Advanced Graph Neural Networks (9 papers), Complex Network Analysis Techniques (6 papers) and Human Pose and Action Recognition (4 papers). Chun-Yang Zhang collaborates with scholars based in China and Macao. Chun-Yang Zhang's co-authors include C. L. Philip Chen, Long Chen, Min Gan, Shuang Feng, Jishun Li, Yujun Xue, Wenxi Liu, Jincheng Lin, Feng Huang and Naixue Xiong and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Vehicular Technology and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Chun-Yang Zhang

27 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun-Yang Zhang China 8 284 182 166 59 44 32 582
Boyu Wang China 11 317 1.1× 156 0.9× 181 1.1× 66 1.1× 28 0.6× 48 616
Rakesh Katuwal Singapore 9 368 1.3× 99 0.5× 162 1.0× 42 0.7× 40 0.9× 10 590
Aqsa Saeed Qureshi Pakistan 5 212 0.7× 206 1.1× 71 0.4× 50 0.8× 35 0.8× 5 488
Yucan Zhou China 12 410 1.4× 244 1.3× 315 1.9× 59 1.0× 63 1.4× 26 892
Juliano Pierezan Brazil 9 400 1.4× 220 1.2× 96 0.6× 151 2.6× 35 0.8× 11 810
Jian Xiao China 11 344 1.2× 335 1.8× 120 0.7× 64 1.1× 58 1.3× 36 676
Devinder Kaur United States 13 211 0.7× 66 0.4× 74 0.4× 45 0.8× 48 1.1× 49 508
Qiang Hua China 8 236 0.8× 81 0.4× 113 0.7× 69 1.2× 64 1.5× 37 465
Zhenyu Lei Japan 20 504 1.8× 128 0.7× 109 0.7× 56 0.9× 26 0.6× 74 839
Jie Su China 9 178 0.6× 275 1.5× 75 0.5× 69 1.2× 42 1.0× 38 548

Countries citing papers authored by Chun-Yang Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Yang Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Yang Zhang. 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 Chun-Yang Zhang. The network helps show where Chun-Yang Zhang may publish in the future.

Co-authorship network of co-authors of Chun-Yang Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Yang Zhang. A scholar is included among the top collaborators of Chun-Yang Zhang 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 Chun-Yang Zhang. Chun-Yang Zhang 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.
Zhang, Chun-Yang, et al.. (2025). Robust decision-making for autonomous vehicles via deep reinforcement learning and expert guidance. Applied Intelligence. 55(6). 2 indexed citations
2.
Zhang, Chun-Yang, et al.. (2025). Robust Decision-Making Method for Autonomous Driving Based on Multi-Modal Fusion and Uncertainty Modeling. IEEE Transactions on Vehicular Technology. 75(3). 3859–3873.
3.
Zhang, Chun-Yang, et al.. (2025). GraphTAN: Temporal Attention Network for Learning Graph-Level Embedding. IEEE Transactions on Computational Social Systems. 12(5). 3168–3180. 2 indexed citations
4.
Zhang, Chun-Yang, et al.. (2024). Low-Overlap Point Cloud Registration via Correspondence Augmentation. IEEE Transactions on Automation Science and Engineering. 22. 9363–9375.
5.
Zhang, Chun-Yang, et al.. (2024). Fuzzy Neural Network for Representation Learning on Uncertain Graphs. IEEE Transactions on Fuzzy Systems. 32(9). 5259–5271. 5 indexed citations
6.
Zhang, Chun-Yang, et al.. (2024). A recurrent graph neural network for inductive representation learning on dynamic graphs. Pattern Recognition. 154. 110577–110577. 7 indexed citations
7.
Zeng, Guang, et al.. (2024). Adaptive Multidocument Summarization Via Graph Representation Learning. IEEE Transactions on Cognitive and Developmental Systems. 17(4). 759–770. 1 indexed citations
8.
Zhang, Chun-Yang, et al.. (2024). Contextual Distribution Alignment via Correlation Contrasting for Domain Generalization. IEEE Transactions on Circuits and Systems for Video Technology. 35(4). 3619–3632. 2 indexed citations
9.
Cheng, Jun, et al.. (2024). Unsupervised Domain Adaptation on Point Clouds via High-Order Geometric Structure Modeling. IEEE Transactions on Artificial Intelligence. 5(12). 6121–6133.
11.
Fu, Haitao, et al.. (2023). A new robust contrastive learning for unsupervised person re-identification. International Journal of Machine Learning and Cybernetics. 15(5). 1779–1793. 1 indexed citations
12.
Zhang, Chun-Yang, et al.. (2023). A Probabilistic Contrastive Framework for Semi-Supervised Learning. IEEE Transactions on Multimedia. 25. 8767–8779. 4 indexed citations
13.
Yu, Yuanlong, et al.. (2023). Fuzzy Representation Learning on Dynamic Graphs. IEEE Transactions on Systems Man and Cybernetics Systems. 54(2). 878–890. 6 indexed citations
14.
Zhang, Chun-Yang, et al.. (2022). Dynamic Representation Learning via Recurrent Graph Neural Networks. IEEE Transactions on Systems Man and Cybernetics Systems. 53(2). 1284–1297. 17 indexed citations
15.
Liu, Wenxi, et al.. (2019). Extraversion Measure for Crowd Trajectories. IEEE Transactions on Industrial Informatics. 15(12). 6334–6343. 6 indexed citations
16.
Feng, Shuang, C. L. Philip Chen, & Chun-Yang Zhang. (2019). A Fuzzy Deep Model Based on Fuzzy Restricted Boltzmann Machines for High-dimensional Data Classification. IEEE Transactions on Fuzzy Systems. 1–1. 42 indexed citations
17.
Zhang, Chun-Yang, et al.. (2016). Homotopy method for a class of multiobjective optimization problems with equilibrium constraints. Journal of Industrial and Management Optimization. 13(1). 81–92. 1 indexed citations
18.
Chen, C. L. Philip, Chun-Yang Zhang, Long Chen, & Min Gan. (2015). Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning. IEEE Transactions on Fuzzy Systems. 23(6). 2163–2173. 176 indexed citations
19.
Zhang, Chun-Yang, et al.. (2009). Safety assessment modeling for thermal power plants using hierarchical SDG-HAZOP method. 144–148. 2 indexed citations
20.
Zhang, Chun-Yang. (2005). Study of Photoelectric Image Measuring Tool Presetter. Journal of Optoelectronics·laser. 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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