Xiaomin Wang

134 papers receiving 1.9k citations

Peers

Xiaomin Wang
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 497
  • Computer Networks and Communications 447
  • Artificial Intelligence 525
  • Information Systems 348
  • Signal Processing 165
Replace Bin Yu with:
Bin Yu China
Ruixuan Li China
Sanjeev Kumar India
Deyun Zhou China
Yuan Tian China
Liqiang Wang United States
Dongsheng Li China
Michael A. Lehr United States
Gang Xie China
Qing Li China
Xiaomin Wang relative to Bin Yu China Bin Yu's profile →
Citations per field
00.5×4.3×
Bin Yu · 1×
Citations per year

Countries citing papers authored by Xiaomin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaomin Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaomin Wang Line = papers co-authored together Xiaomin Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006123
2 1989103
3 2007103
4 200687
5 201774
6 201268
7 201867
8 202055
9 201847
10 201446
11 201243
12 200840
13 201939
14 201835
15 202334
16 202332
17 201532
18 201631
19 201731
20 202127

About Xiaomin Wang

Xiaomin Wang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 152 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (13 papers), Advanced Authentication Protocols Security (10 papers), Distributed Control Multi-Agent Systems (7 papers), Cryptographic Implementations and Security (7 papers), Chaos control and synchronization (7 papers), User Authentication and Security Systems (7 papers), Cryptography and Data Security (6 papers) and Vehicular Ad Hoc Networks (VANETs) (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (497 citations), Computer Networks and Communications (447 citations), Artificial Intelligence (525 citations), Information Systems (348 citations) and Signal Processing (165 citations). Xiaomin Wang has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Jiashu Zhang, Wenfang Zhang, Muhammad Khurram Khan, Wei Guo, Ming‐Liang Hu, Heng Fan, J. G. Liou, S. Maruyama, Zexiao Xie and Robert G. Coleman. Their work appears in journals such as Information Sciences, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Vehicular Technology, IEEE Transactions on Transportation Electrification and Physics Letters A.

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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