Minsi Wang

1.1k citations
13 papers · 711 indexed · h-index 11
Topics
Human Pose and Action Recognition (6 papers)Video Surveillance and Tracking Methods (4 papers)Advanced Image and Video Retrieval Techniques (4 papers)
Partner nations
ChinaUnited States

In The Last Decade

Minsi Wang

13 papers receiving 699 citations

Peers

Minsi Wang
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 655
  • Artificial Intelligence 413
  • Biomedical Engineering 131
  • Safety, Risk, Reliability and Quality 77
  • Human-Computer Interaction 50
Replace Chunluan Zhou with:
Chunluan Zhou China
Abrar Ahmed Pakistan
Mohammad Kazem Moghimi Iran
B. Boghossian United Kingdom
Cheng-Hao Kuo United States
Adnan Ahmed Rafique Pakistan
Joshua Candamo United States
Yong-Joong Kim South Korea
Vili Kellokumpu Finland
Minsi Wang relative to Chunluan Zhou China Chunluan Zhou's profile →
Citations per field
00.5×3.4×
Chunluan Zhou · 1×
Citations per year

Countries citing papers authored by Minsi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Minsi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minsi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Minsi Wang. A scholar is included among the top collaborators of Minsi 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 Minsi Wang. Minsi Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 4
2 137
3 16
4 43
5 23
6 15
7 2
8 264
9 38
10 14
11 11
12 112
13 32

About Minsi Wang

Minsi Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Analytical Chemistry, having authored 13 papers that have together received 711 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (655 citations), Artificial Intelligence (413 citations) and Human-Computer Interaction (50 citations). Minsi Wang has collaborated with scholars based in China and United States. Frequent co-authors include Bingbing Ni, Xiaokang Yang, Jianguo Hu, Yi Xu, Zan Shen, Wenjun Zhang, Jiancheng Yang, Linguo Li, Hang Wang and Shuo Cheng. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence 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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