Jin Wang

159 papers receiving 1.6k citations

Peers

Jin Wang
Comparison fields: 5 of 145
  • Ceramics and Composites 196
  • Computer Graphics and Computer-Aided Design 54
  • Computer Vision and Pattern Recognition 267
  • Mechanical Engineering 361
  • Biomedical Engineering 374
Replace Liangyong Wang with:
Liangyong Wang China
Stefan M. Holzer Germany
Yu‐Cheng Chang Taiwan
Ruifeng Li China
Mohammed Rasheed Iraq
Wenbin He China
Jung‐Ho Park South Korea
Peilin Li China
Zheng Liu China
Hyeyoung Park South Korea
Jin Wang relative to Liangyong Wang China Liangyong Wang's profile →
Citations per field
00.5×8.5×
Liangyong Wang · 1×
Citations per year

Countries citing papers authored by Jin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200689
2 201086
3 200680
4 202178
5 201552
6 201547
7 201942
8 202238
9 201137
10 202135
11 201634
12 202133
13 202031
14 201428
15 201824
16 202222
17 201821
18 202121
19 200421
20 202320

About Jin Wang

Jin Wang is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Electrical and Electronic Engineering, Control and Systems Engineering and Biomedical Engineering, having authored 177 papers that have together received 1.7k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (15 papers), Robotics and Sensor-Based Localization (12 papers), Advanced Image and Video Retrieval Techniques (12 papers), Computer Graphics and Visualization Techniques (10 papers), Advanced Measurement and Metrology Techniques (10 papers), Robotic Mechanisms and Dynamics (10 papers), Advanced Vision and Imaging (9 papers) and Advanced Memory and Neural Computing (9 papers). The work is most often cited by research in Ceramics and Composites (196 citations), Computer Graphics and Computer-Aided Design (54 citations), Computer Vision and Pattern Recognition (267 citations), Mechanical Engineering (361 citations) and Biomedical Engineering (374 citations). Jin Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Minquan Wang, Xianping Fan, Xvsheng Qiao, Guodong Lu, Guodong Lu, Xiaoke Ku, Ze Zhang, Haiyun Zhang, Cheng Zhang and Jean‐Luc Adam. Their work appears in journals such as Complex & Intelligent Systems, IEEE Robotics and Automation Letters, Journal of Zhejiang University. Science A, Neurocomputing and Applied Sciences.

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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