Ren Wang

561 citations
17 papers · 326 · h-index 7

Impact in

Papers in

Ren Wang

16 papers receiving 313 citations

Peers

Ren Wang
Comparison fields: 5 of 53
  • Transportation 86
  • Building and Construction 113
  • Industrial and Manufacturing Engineering 63
  • Control and Systems Engineering 127
  • Computer Vision and Pattern Recognition 82
Replace Jianqing Wu with:
Jianqing Wu China
Vilmos Simon Hungary
Yangxin Lin China
Michal Weiszer United Kingdom
Jianli Xiao China
Wenwei Yue China
Yisheng An China
Hoàng Nguyên Australia
Peilan He Singapore
Chih‐Cheng Hsu Taiwan
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Citations per field
00.5×10×16×
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Citations per year

Countries citing papers authored by Ren Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ren Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Ren 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 Ren Wang Line = papers co-authored together Ren Wang links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201972
2 201863
3 201761
4 201647
5 201639
6 202317
7 20239
8 20243
9 20223
10 20203
11 19943
12 20212
13
Track Detection Method of Underground Locomotive Based on Image Recognition
20121
14 20241
15
Comparative Study on the Method of IHS Transformation for Image Fusion
20001
16 20191
17 20240

About Ren Wang

Ren Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering and Building and Construction, having authored 17 papers that have together received 326 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Traffic Prediction and Management Techniques (3 papers), Traffic control and management (3 papers), Advanced Algorithms and Applications (2 papers), Machine Learning and Data Classification (2 papers), Material Properties and Failure Mechanisms (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Transportation (86 citations), Building and Construction (113 citations), Industrial and Manufacturing Engineering (63 citations), Control and Systems Engineering (127 citations) and Computer Vision and Pattern Recognition (82 citations). Ren Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Daniel B. Work, Qiang Guo, Yanning Li, Caiming Zhang, Richard B. Sowers, Nam Sung Kim, Mohammad Alian, Yifan Yuan, Youjie Li and Alexander G. Schwing. Their work appears in journals such as Transportation Research Part C Emerging Technologies, Applied Sciences, IEEE Transactions on Intelligent Transportation Systems, Knowledge-Based Systems and IEEE Access.

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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