Binghui Wang

2.8k total citations
68 papers, 1.4k citations indexed

About

Binghui Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Binghui Wang has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 12 papers in Computer Networks and Communications. Recurrent topics in Binghui Wang's work include Adversarial Robustness in Machine Learning (22 papers), Advanced Graph Neural Networks (15 papers) and Privacy-Preserving Technologies in Data (15 papers). Binghui Wang is often cited by papers focused on Adversarial Robustness in Machine Learning (22 papers), Advanced Graph Neural Networks (15 papers) and Privacy-Preserving Technologies in Data (15 papers). Binghui Wang collaborates with scholars based in United States, China and Hong Kong. Binghui Wang's co-authors include Neil Zhenqiang Gong, Jinyuan Jia, Meng Pang, Yiran Chen, Yiu‐ming Cheung, Hai Li, Chuang Lin, Zaixi Zhang, Ang Li and Le Zhang and has published in prestigious journals such as IEEE Access, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Binghui Wang

61 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Binghui Wang United States 19 922 321 314 221 206 68 1.4k
Xiaomei Yu China 16 600 0.7× 199 0.6× 378 1.2× 109 0.5× 259 1.3× 66 1.1k
Bo Wu United States 23 634 0.7× 363 1.1× 309 1.0× 80 0.4× 711 3.5× 90 1.6k
Ou Wu China 18 642 0.7× 154 0.5× 205 0.7× 129 0.6× 380 1.8× 68 1.1k
Lixin Han China 16 389 0.4× 124 0.4× 308 1.0× 122 0.6× 224 1.1× 74 890
Erheng Zhong Hong Kong 18 587 0.6× 89 0.3× 372 1.2× 97 0.4× 293 1.4× 28 1.1k
Bofeng Zhang China 15 358 0.4× 353 1.1× 497 1.6× 54 0.2× 188 0.9× 160 1.1k
Zhonghai Wu China 15 690 0.7× 299 0.9× 457 1.5× 91 0.4× 162 0.8× 161 1.1k
Wei Hu China 22 1.2k 1.3× 520 1.6× 374 1.2× 585 2.6× 94 0.5× 130 1.9k
Lihua Yue China 16 281 0.3× 350 1.1× 188 0.6× 136 0.6× 195 0.9× 101 889
H. Vicky Zhao China 19 219 0.2× 255 0.8× 139 0.4× 233 1.1× 577 2.8× 111 1.2k

Countries citing papers authored by Binghui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Binghui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binghui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Binghui Wang. A scholar is included among the top collaborators of Binghui 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 Binghui Wang. Binghui 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
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Pang, Meng, Binghui Wang, Mang Ye, et al.. (2024). Heterogeneous Prototype Learning From Contaminated Faces Across Domains via Disentangling Latent Factors. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 7169–7183. 9 indexed citations
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Wang, Binghui, et al.. (2024). CRissNet: An Efficient and Lightweight Network for CSI Feedback in Massive MIMO Systems. IEEE Transactions on Cognitive Communications and Networking. 11(3). 1452–1465. 3 indexed citations
6.
Sun, Zhe, et al.. (2024). Recipient-Aware Photo Automatic Deletion Control Policy Recommendation Scheme in Online Social Networks. IEEE Transactions on Dependable and Secure Computing. 22(3). 2352–2366.
7.
Li, Qiang, et al.. (2024). Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses. 2829–2843. 2 indexed citations
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Pang, Meng, Binghui Wang, Siyu Huang, Yiu‐ming Cheung, & Bihan Wen. (2022). A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains. IEEE Transactions on Information Forensics and Security. 17. 1544–1557. 14 indexed citations
10.
Wang, Yijue, Chenghong Wang, Hang Liu, et al.. (2022). Variance of the Gradient Also Matters: Privacy Leakage from Gradients. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 2 indexed citations
11.
Pang, Meng, Binghui Wang, Mang Ye, et al.. (2021). DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person. IEEE Transactions on Neural Networks and Learning Systems. 34(2). 867–881. 12 indexed citations
12.
Pang, Meng, Binghui Wang, Yiu‐ming Cheung, Yiran Chen, & Bihan Wen. (2021). VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person. IEEE Transactions on Information Forensics and Security. 16. 2246–2259. 20 indexed citations
13.
Wu, Tong, Pan Zhou, Binghui Wang, et al.. (2020). Joint Traffic Control and Multi-Channel Reassignment for Core Backbone Network in SDN-IoT: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Transactions on Network Science and Engineering. 8(1). 231–245. 30 indexed citations
14.
Wang, Binghui, Ang Li, Meng Pang, et al.. (2020). Efficient Evasion Attacks to Graph Neural Networks via Influence Function. arXiv (Cornell University). 6 indexed citations
15.
Inkawhich, Nathan, et al.. (2020). Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. Neural Information Processing Systems. 33. 20791–20801. 1 indexed citations
16.
Pang, Meng, Yiu‐ming Cheung, Binghui Wang, & Risheng Liu. (2019). Robust heterogeneous discriminative analysis for face recognition with single sample per person. Pattern Recognition. 89. 91–107. 43 indexed citations
17.
Pang, Meng, Yiu‐ming Cheung, Binghui Wang, & Jian Lou. (2019). Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person. IEEE Transactions on Information Forensics and Security. 15. 195–209. 19 indexed citations
18.
Wang, Binghui, et al.. (2018). Structure-Based Sybil Detection in Social Networks via Local Rule-Based Propagation. IEEE Transactions on Network Science and Engineering. 6(3). 523–537. 39 indexed citations
19.
Lin, Chuang, Binghui Wang, Ning Jiang, & Dario Farina. (2017). Robust extraction of basis functions for simultaneous and proportional myoelectric control via sparse non-negative matrix factorization. Journal of Neural Engineering. 15(2). 26017–26017. 53 indexed citations
20.
Pang, Meng, Binghui Wang, Yiu‐ming Cheung, & Chuang Lin. (2017). Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction. IEEE Access. 5. 13978–13991. 10 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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