Run Ye

460 citations
28 papers · 337 · h-index 11

Impact in

Papers in

Run Ye

23 papers receiving 331 citations

Peers

Run Ye
Comparison fields: 5 of 72
  • Modeling and Simulation 21
  • Electronic, Optical and Magnetic Materials 58
  • Public Health, Environmental and Occupational Health 72
  • Computational Theory and Mathematics 33
  • Computer Vision and Pattern Recognition 41
Replace Manoj Sharma with:
Manoj Sharma India
Sangkwon Kim South Korea
Jong-Ho Kim South Korea
Shafaq Naz Pakistan
Xinxin Guo China
Rabindra Nath Das United States
Soobin Kwak South Korea
Wei Xie China
M. Tartaglia Italy
Run Ye relative to Manoj Sharma India Manoj Sharma's profile →
Citations per field
00.5×5.1×
Manoj Sharma · 1×
Citations per year

Countries citing papers authored by Run Ye

Since Specialization
Citations

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

Fields of papers citing papers by Run Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 201652
3 202031
4 202027
5 201823
6 201819
7 202316
8 201616
9 201614
10 202413
11 202110
12 20195
13 20245
14 20224
15 20204
16 20184
17 20184
18 20174
19 20223
20 20202

About Run Ye

Run Ye is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 28 papers that have together received 337 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Advanced Neural Network Applications (4 papers), Fire Detection and Safety Systems (3 papers), Image Enhancement Techniques (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Underwater Vehicles and Communication Systems (2 papers), Cooperative Communication and Network Coding (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Modeling and Simulation (21 citations), Electronic, Optical and Magnetic Materials (58 citations), Public Health, Environmental and Occupational Health (72 citations), Computational Theory and Mathematics (33 citations) and Computer Vision and Pattern Recognition (41 citations). Run Ye has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Kaibo Shi, Bin Yan, Bin Yan, Xiao‐Ming Jiang, Bin‐Wen Liu, Yufu Huang, Weiqing Pan, Guo‐Cong Guo, Azzedine Boukerche and Houjun Wang. Their work appears in journals such as Wireless Networks, IEEE Access, The Visual Computer, Computer Networks and Multimedia Tools and Applications.

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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