Ren Wang

617 citations
23 papers · 431 · h-index 8

Impact in

Papers in

Ren Wang

17 papers receiving 419 citations

Peers

Ren Wang
Comparison fields: 5 of 61
  • Transportation 87
  • Building and Construction 117
  • Industrial and Manufacturing Engineering 66
  • Control and Systems Engineering 134
  • Computer Vision and Pattern Recognition 106
Replace Yukun Fang with:
Yukun Fang China
Vilmos V. Simon Hungary
Chih‐Cheng Hsu Taiwan
Ajeesh P. Kurian Singapore
Jianqing Wu China
Yunwen Xu China
Yuxiang (Felix) Feng United Kingdom
Joe Palen United States
Tung Le Vietnam
Maan E. El Najjar France
Ren Wang relative to Yukun Fang China Yukun Fang's profile →
Citations per field
00.5×10×20×26.5×
Yukun Fang · 1×
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 25 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

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201976
2 202072
3 201869
4 201767
5 201648
6 201638
7 202326
8 202311
9 20226
10 20243
11 20213
12 19943
13 20203
14 20243
15 20231
16
Track Detection Method of Underground Locomotive Based on Image Recognition
20121
17 20191
18 20240
19 20240
20 20250

About Ren Wang

Ren Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Building and Construction, having authored 23 papers that have together received 431 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (4 papers), Traffic Prediction and Management Techniques (3 papers), Traffic control and management (3 papers), Neural Networks and Applications (2 papers), Machine Learning and Data Classification (2 papers), Stock Market Forecasting Methods (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Transportation (87 citations), Building and Construction (117 citations), Industrial and Manufacturing Engineering (66 citations), Control and Systems Engineering (134 citations) and Computer Vision and Pattern Recognition (106 citations). Ren Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Daniel B. Work, Qiang Guo, Yanning Li, Caiming Zhang, Richard B. Sowers, Gaoyuan Zhang, Sijia Liu, Meng Wang, Pin‐Yu Chen and Jinjun Xiong. Their work appears in journals such as Applied Sciences, Transportation Research Part C Emerging Technologies, IEEE Transactions on Intelligent Transportation Systems, Acta Mechanica Sinica and IEEE Transactions on Multimedia.

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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