Wang Min

504 citations
17 papers · 346 · h-index 5

Impact in

Papers in

Wang Min

15 papers receiving 320 citations

Peers

Wang Min
Comparison fields: 5 of 63
  • Signal Processing 143
  • Computer Networks and Communications 143
  • Artificial Intelligence 148
  • Industrial and Manufacturing Engineering 27
  • Computer Vision and Pattern Recognition 51
Replace Kostas Tsichlas with:
Kostas Tsichlas Greece
Antonio Pastor Spain
Xin Xiao United States
Wenjuan Wang China
Xu Zhu Japan
Huowang Chen China
Ismo Kärkkäinen Finland
Dimitris Tsipras United States
Andreas Pfadler Germany
Wang Min relative to Kostas Tsichlas Greece Kostas Tsichlas's profile →
Citations per field
00.5×1.5×2.5×
Kostas Tsichlas · 1×
Citations per year

Countries citing papers authored by Wang Min

Since Specialization
Citations

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

Fields of papers citing papers by Wang Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wang Min, 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 Wang Min Line = papers co-authored together Wang Min links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1998157
2 2004143
3 200718
4 20246
5 20174
6 20213
7 20133
8 20112
9 20172
10 20052
11
A Research and Implementation of Risk Evaluation System Based on Information Flow
20101
12 20111
13 20111
14 20241
15 20071
16 20181
17 20210

About Wang Min

Wang Min is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Radiation, having authored 17 papers that have together received 346 indexed citations. Recurring topics across this work include Evaluation and Optimization Models (2 papers), Advanced X-ray Imaging Techniques (2 papers), Medical Imaging Techniques and Applications (2 papers), Advanced Decision-Making Techniques (2 papers), Time Series Analysis and Forecasting (2 papers), Advanced Database Systems and Queries (2 papers), Antenna Design and Optimization (1 paper) and Plant-Microbe Interactions and Immunity (1 paper). The work is most often cited by research in Signal Processing (143 citations), Computer Networks and Communications (143 citations), Artificial Intelligence (148 citations), Industrial and Manufacturing Engineering (27 citations) and Computer Vision and Pattern Recognition (51 citations). Wang Min has collaborated with scholars based in China and United States. Frequent co-authors include Jeffrey Scott Vitter, B. R. Iyer, Licheng Jiao, Shuyuan Yang, Xiaofang Hu, Kai Zhang, Peiping Zhu, Wanxia Huang, Qingxi Yuan and Youwei Zhang. Their work appears in journals such as Remote Sensing, Journal of Physics D Applied Physics, Plant Methods, Plant Disease and Microwave and Optical Technology Letters.

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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