Zhengyang Wang

1.8k total citations · 1 hit paper
52 papers, 946 citations indexed

About

Zhengyang Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Zhengyang Wang has authored 52 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 7 papers in Cognitive Neuroscience. Recurrent topics in Zhengyang Wang's work include Topic Modeling (7 papers), Video Surveillance and Tracking Methods (6 papers) and Advanced Neural Network Applications (6 papers). Zhengyang Wang is often cited by papers focused on Topic Modeling (7 papers), Video Surveillance and Tracking Methods (6 papers) and Advanced Neural Network Applications (6 papers). Zhengyang Wang collaborates with scholars based in United States, China and Japan. Zhengyang Wang's co-authors include Shuiwang Ji, Yaochen Xie, Xu Zhao, Dinggang Shen, Hongyang Gao, Na Zou, Lei Cai, Jianjin Cao, Hao Yuan and Meng Liu and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Bioinformatics.

In The Last Decade

Zhengyang Wang

45 papers receiving 927 citations

Hit Papers

Self-Supervised Learning ... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhengyang Wang United States 15 449 316 97 85 80 52 946
Zunlei Feng China 14 281 0.6× 762 2.4× 65 0.7× 41 0.5× 61 0.8× 83 1.3k
Stefan Elfwing Japan 11 451 1.0× 505 1.6× 89 0.9× 27 0.3× 40 0.5× 18 1.3k
Robert Geirhos Germany 5 623 1.4× 410 1.3× 125 1.3× 34 0.4× 49 0.6× 12 1.2k
Claudio Michaelis Germany 4 605 1.3× 387 1.2× 122 1.3× 34 0.4× 48 0.6× 4 1.1k
Pai‐Hsuen Chen Taiwan 4 502 1.1× 431 1.4× 63 0.6× 47 0.6× 175 2.2× 4 1.3k
Arka Pal United States 2 681 1.5× 578 1.8× 58 0.6× 68 0.8× 42 0.5× 2 1.2k
Lei Cai China 19 427 1.0× 471 1.5× 38 0.4× 57 0.7× 72 0.9× 99 1.2k
Jiaqi Gu United States 21 610 1.4× 174 0.6× 42 0.4× 36 0.4× 81 1.0× 97 1.5k
Jörn-Henrik Jacobsen Canada 4 530 1.2× 249 0.8× 101 1.0× 34 0.4× 46 0.6× 6 891
Cheng Tan China 12 325 0.7× 250 0.8× 30 0.3× 70 0.8× 44 0.6× 41 1.0k

Countries citing papers authored by Zhengyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhengyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengyang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengyang Wang. A scholar is included among the top collaborators of Zhengyang 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 Zhengyang Wang. Zhengyang 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.
Wang, Zhengyang, et al.. (2025). Domain adaptive person re-identification with noise optimization and dynamic weighting. Applied Soft Computing. 174. 112932–112932.
2.
Zhou, Biao, Junyi Zhang, Hideki Yoshioka, et al.. (2025). A prediction model of the stability reduction performance of aqueous film forming foam based on high-low temperature alternating aging test. Colloids and Surfaces A Physicochemical and Engineering Aspects. 728. 138537–138537.
3.
Wang, Zhengyang, et al.. (2025). Increased frontoparietal activity related to lower performance in neuropsychological assessment of working memory. NeuroImage. 313. 121240–121240. 1 indexed citations
4.
Zhu, Junda, Clément M. Garin, Xue-Lian Qi, et al.. (2025). Longitudinal measures of monkey brain structure and activity through adolescence predict cognitive maturation. Nature Neuroscience. 28(11). 2344–2355.
5.
Chen, Peiyao, et al.. (2025). Temperature effects of the artificial accelerated ageing of aqueous film-forming foam agent on the foam structural stability. Thermal Science and Engineering Progress. 64. 103819–103819.
7.
Huang, Hai, et al.. (2024). Multi-Branch Feature Alignment Network for Misaligned and Occluded Person Re-Identification. IEEE Access. 12. 175445–175457.
8.
Wang, Zhengyang, S. Gatti, Graham W. Johnson, et al.. (2024). Brain-wide human oscillatory local field potential activity during visual working memory. iScience. 27(3). 109130–109130. 2 indexed citations
9.
Dai, Enyan, Limeng Cui, Zhengyang Wang, et al.. (2023). A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. 368–379. 5 indexed citations
10.
Wang, Zhengyang, Qingyu Yin, Danqing Zhang, et al.. (2023). Exploiting Intent Evolution in E-commercial Query Recommendation. 5162–5173. 2 indexed citations
11.
Wang, Peifeng, et al.. (2023). SCOTT: Self-Consistent Chain-of-Thought Distillation. 5546–5558. 23 indexed citations
12.
Wang, Zhengyang, Shuxiang Guo, Xue Shang, & Xiufen Ye. (2023). Pseudo-label Assisted Optimization of Multi-branch Network for Cross-domain Person Re-identification. 13–18. 1 indexed citations
13.
Huang, Zijie, Binxuan Huang, Jingbo Shang, et al.. (2023). Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. 10105–10118. 6 indexed citations
14.
Wang, Zhengyang, et al.. (2022). Plasticity after cognitive training reflected in prefrontal local field potentials. iScience. 25(9). 104929–104929. 5 indexed citations
15.
Xie, Yaochen, et al.. (2021). Self-Supervised Learning of Graph Neural Networks: A Unified Review. arXiv (Cornell University). 15 indexed citations
16.
Wang, Zhengyang, et al.. (2021). High-Quality Sonar Image Generation Algorithm Based on Generative Adversarial Networks. 3099–3104. 1 indexed citations
17.
Xie, Yaochen, Zhengyang Wang, & Shuiwang Ji. (2020). Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising. Neural Information Processing Systems. 33. 20320–20330. 1 indexed citations
18.
Wang, Lin, et al.. (2020). YOLO Nano Underwater: A Fast and Compact Object Detector for Embedded Device. Global Oceans 2020: Singapore – U.S. Gulf Coast. 1–4. 11 indexed citations
19.
Wang, Zhengyang, et al.. (2020). Improved real-time target detection algorithm for similar multiple targets in complex underwater environment based on YOLOv3. Global Oceans 2020: Singapore – U.S. Gulf Coast. 25. 1–6. 4 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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