Bin Wang

4.9k total citations · 1 hit paper
202 papers, 2.9k citations indexed

About

Bin Wang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bin Wang has authored 202 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Artificial Intelligence, 44 papers in Information Systems and 40 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bin Wang's work include Topic Modeling (28 papers), Privacy-Preserving Technologies in Data (19 papers) and Anomaly Detection Techniques and Applications (19 papers). Bin Wang is often cited by papers focused on Topic Modeling (28 papers), Privacy-Preserving Technologies in Data (19 papers) and Anomaly Detection Techniques and Applications (19 papers). Bin Wang collaborates with scholars based in China, United States and Canada. Bin Wang's co-authors include Quan Wang, Li Guo, Lihong Wang, Shu Guo, Gareth J. F. Jones, Zongcheng Ji, Yang Xu, Wenqing Zheng, Jianqin Yin and Fei Xu and has published in prestigious journals such as ACS Nano, Water Resources Research and Optics Letters.

In The Last Decade

Bin Wang

180 papers receiving 2.7k citations

Hit Papers

Real-time Multi-Class Helmet Violation Detection Using Fe... 2023 2026 2024 2025 2023 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8
    2023 121 citations Bin Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Wang China 27 1.7k 811 602 363 204 202 2.9k
Tinghuai Ma China 28 1.4k 0.8× 575 0.7× 534 0.9× 672 1.9× 334 1.6× 196 2.8k
Tobias Scheffer Germany 29 2.0k 1.2× 532 0.7× 877 1.5× 289 0.8× 200 1.0× 104 3.5k
Minnan Luo China 25 1.5k 0.9× 390 0.5× 999 1.7× 368 1.0× 234 1.1× 96 2.4k
Quanming Yao China 26 2.5k 1.4× 624 0.8× 1.5k 2.5× 229 0.6× 160 0.8× 88 4.3k
Ajit Singh United States 17 949 0.6× 628 0.8× 624 1.0× 491 1.4× 110 0.5× 53 2.3k
Hong Yu China 24 1.0k 0.6× 563 0.7× 443 0.7× 164 0.5× 103 0.5× 251 2.7k
Xiaofei Xu China 22 1.4k 0.8× 309 0.4× 338 0.6× 480 1.3× 136 0.7× 95 2.2k
Ricardo J. G. B. Campello Brazil 24 2.4k 1.4× 373 0.5× 591 1.0× 432 1.2× 267 1.3× 67 3.4k
Qiang Liu China 26 1.4k 0.8× 497 0.6× 869 1.4× 617 1.7× 74 0.4× 164 2.8k
Weimin Li China 25 749 0.4× 427 0.5× 445 0.7× 410 1.1× 348 1.7× 176 2.1k

Countries citing papers authored by Bin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Wang. A scholar is included among the top collaborators of Bin 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 Bin Wang. Bin 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.
Yang, Kai, Song Fan, Jiali Deng, et al.. (2025). Public concerns analysis and early warning of Mpox based on network data platforms—taking Baidu and WeChat as example. Frontiers in Public Health. 13. 1523408–1523408.
2.
Qian, Yaguan, Qiang Yu, Shouling Ji, et al.. (2025). A Multimodal Adversarial Attack Method via Frequency Domain Enhancement and Fine-Grained Cross-Modal Guidance. IEEE Transactions on Dependable and Secure Computing. 22(6). 7877–7889.
3.
Qian, Yaguan, et al.. (2025). Enhancing robust generalization through appropriate adversarial example attack intensity. Neurocomputing. 657. 131599–131599.
4.
Li, Qiang, et al.. (2024). BFS2Adv: Black-box adversarial attack towards hard-to-attack short texts. Computers & Security. 141. 103817–103817. 5 indexed citations
5.
Zhao, Yiwen, Wei Wang, Yongsheng Zhu, et al.. (2024). Enhancing Privacy in Distributed Intelligent Vehicles With Information Bottleneck Theory. IEEE Internet of Things Journal. 12(5). 4914–4921. 1 indexed citations
6.
Wang, Peng, Qubeijian Wang, Haibin Zhang, et al.. (2024). Evolutionary Game-Based Adaptive DT Association and Transfer for Wireless Computing Power Networks. IEEE Transactions on Green Communications and Networking. 9(2). 670–683. 4 indexed citations
7.
Du, Wei‐Dong, Bin Wang, Shuqi Mei, et al.. (2023). Character recognition competition for street view shop signs. National Science Review. 10(6). nwad141–nwad141. 4 indexed citations
8.
Qian, Yaguan, et al.. (2023). Adversarial training in logit space against tiny perturbations. Multimedia Systems. 29(6). 3277–3290. 1 indexed citations
9.
Qiu, Qinjun, et al.. (2023). A Practical Approach to Constructing a Geological Knowledge Graph: A Case Study of Mineral Exploration Data. Journal of Earth Science. 34(5). 1374–1389. 11 indexed citations
10.
Xie, Xin, et al.. (2022). Unsupervised abnormal detection using VAE with memory. Soft Computing. 26(13). 6219–6231. 7 indexed citations
11.
Li, Chao, et al.. (2021). A Blockchain-Based IoT Cross-Domain Delegation Access Control Method. Security and Communication Networks. 2021. 1–11. 4 indexed citations
12.
Xie, Xin, et al.. (2020). Research and application of intrusion detection method based on hierarchical features. Concurrency and Computation Practice and Experience. 34(16). 3 indexed citations
13.
Wang, Quan, et al.. (2018). Improving Knowledge Graph Embedding Using Simple Constraints. 110–121. 58 indexed citations
14.
Guo, Shu, Quan Wang, Lihong Wang, Bin Wang, & Li Guo. (2016). Jointly Embedding Knowledge Graphs and Logical Rules. 192–202. 126 indexed citations
15.
16.
Zhang, Shuai, Kai Lu, & Bin Wang. (2011). ICTIR Subtopic Mining System at NTCIR-9 INTENT Task.. NTCIR. 5 indexed citations
17.
Xu, Yan, et al.. (2008). An extended document frequency metric for feature selection in text categorization. 71–82. 8 indexed citations
18.
Judge, John, et al.. (2005). An Analysis of Question Processing of English and Chinese for the NTCIR 5 Cross-Language Question Answering Task. Arrow@dit (Dublin Institute of Technology). 1 indexed citations
19.
Wang, Bin, et al.. (2005). CAS-ICT at TREC 2005 SPAM Track: Using Non-Textual Information to Improve Spam Filtering Performance. Text REtrieval Conference. 2 indexed citations
20.
Zhang, Huaping, Hongbo Xu, Shuo Bai, Bin Wang, & Xueqi Cheng. (2004). Experiments in TREC 2004 Novelty Track at CAS-ICT.. Text REtrieval Conference. 11 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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