Jin Wang

2.2k citations
174 papers · 1.6k indexed · h-index 20
Topics
3D Shape Modeling and Analysis (15 papers)Robotics and Sensor-Based Localization (12 papers)Advanced Image and Video Retrieval Techniques (12 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Applied PhysicsThe Journal of Physical Chemistry B

In The Last Decade

Jin Wang

156 papers receiving 1.5k citations

Peers

Jin Wang
Comparison fields: 5 of 147
  • Electrical and Electronic Engineering 397
  • Biomedical Engineering 365
  • Mechanical Engineering 352
  • Materials Chemistry 309
  • Computer Vision and Pattern Recognition 259
Replace Stefan M. Holzer with:
Stefan M. Holzer Germany
C.J. Bennett United Kingdom
Yu‐Cheng Chang Taiwan
Mohammed Rasheed Iraq
N.N. Ekere United Kingdom
Wenbin He China
Ruifeng Li China
Doo-Hyun Choi South Korea
Jung‐Ho Park South Korea
Cheng Guo China
Jin Wang relative to Stefan M. Holzer Germany Stefan M. Holzer's profile →
Citations per field
00.5×7.9×
Stefan M. Holzer · 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-authorship network of co-authors of Jin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Wang. A scholar is included among the top collaborators of Jin 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 Jin Wang. Jin 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
1 1
2 0
3 1
4 7
5 2
6 0
7 1
8 0
9 3
10 14
11 12
12 1
13 2
14 4
15 10
16 2
17 1
18 6
19 8
20 23

About Jin Wang

Jin Wang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 174 papers that have together received 1.6k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (15 papers), Robotics and Sensor-Based Localization (12 papers) and Advanced Image and Video Retrieval Techniques (12 papers). The work is most often cited by research in Ceramics and Composites (196 citations), Computer Graphics and Computer-Aided Design (53 citations) and Computer Vision and Pattern Recognition (259 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, Haiyun Zhang, Ze Zhang, Xianghua Zhang and Jean‐Luc Adam. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and The Journal of Physical Chemistry B.

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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