Peng Wang

2.9k citations
170 papers · 1.9k indexed · h-index 24
Topics
Robot Manipulation and Learning (17 papers)Video Surveillance and Tracking Methods (17 papers)Advanced Vision and Imaging (17 papers)

In The Last Decade

Peng Wang

153 papers receiving 1.9k citations

Peers

Peng Wang
Comparison fields: 5 of 128
  • Computer Vision and Pattern Recognition 596
  • Control and Systems Engineering 442
  • Electrical and Electronic Engineering 432
  • Artificial Intelligence 280
  • Safety, Risk, Reliability and Quality 216
Replace Wei Zhan with:
Wei Zhan United States
Martin Lauer Germany
Chunxiang Wang China
René de Jesús Romero-Troncoso Mexico
Shunsuke Kamijo Japan
Hongkai Yu United States
Meiling Wang China
Yicheng Li China
Juan Andrade‐Cetto Spain
Peng Wang relative to Wei Zhan United States Wei Zhan's profile →
Citations per field
00.5×10×13.5×
Wei Zhan · 1×
Citations per year

Countries citing papers authored by Peng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Peng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Wang. A scholar is included among the top collaborators of Peng Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peng Wang. Peng Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 5
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11 8
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13 9
14 1
15 1
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17 9
18 118
19
The styles and dynamics of thrust in the south of the Middle-Lower Yangtze River area,China
10
20
Analysis of Structural Genesis in Raoyang Sag
1

About Peng Wang

Peng Wang is a scholar working on Computer Vision and Pattern Recognition, Nuclear Energy and Engineering and Human-Computer Interaction, having authored 170 papers that have together received 1.9k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (17 papers), Video Surveillance and Tracking Methods (17 papers) and Advanced Vision and Imaging (17 papers). The work is most often cited by research in Nuclear Energy and Engineering (24 citations), Computer Vision and Pattern Recognition (596 citations) and Safety, Risk, Reliability and Quality (216 citations). Peng Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Wanyi Li, Jia Sun, R. Billinton, Hong Qiao, Yongkang Luo, L. Goel, Wenjun Sun, Siyu Shao, Robert X. Gao and Ruqiang Yan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Power Systems.

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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