Wanmin Wu

1.2k citations
48 papers · 884 · h-index 15

Impact in

Papers in

Wanmin Wu

44 papers receiving 820 citations

Peers

Wanmin Wu
Comparison fields: 5 of 89
  • Human-Computer Interaction 173
  • Computer Vision and Pattern Recognition 601
  • Computer Graphics and Computer-Aided Design 65
  • Signal Processing 116
  • Computer Networks and Communications 216
Replace Robert LiKamWa with:
Robert LiKamWa United States
Tolga Çapın Türkiye
Florian Echtler Germany
Kjell Brunnström Sweden
Cagri Ozcinar Ireland
Christian Breiteneder Austria
Kiyoshi Kogure Japan
Fumio Kishino Japan
Tao Ni Hong Kong
Mohammed S. Elbamby Finland
Wanmin Wu relative to Robert LiKamWa United States Robert LiKamWa's profile →
Citations per field
00.5×4.6×
Robert LiKamWa · 1×
Citations per year

Countries citing papers authored by Wanmin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wanmin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012234
2 2009124
3 200843
4 201041
5 200741
6 200637
7 201037
8 201136
9 201230
10 201521
11 200620
12 201617
13 200816
14 201215
15 201015
16 200812
17 201011
18 201411
19 201111
20 200810

About Wanmin Wu

Wanmin Wu is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Computer Networks and Communications, Human-Computer Interaction and Signal Processing, having authored 48 papers that have together received 884 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (23 papers), Multimedia Communication and Technology (18 papers), Peer-to-Peer Network Technologies (11 papers), Virtual Reality Applications and Impacts (10 papers), Advanced Vision and Imaging (10 papers), Video Coding and Compression Technologies (7 papers), Advanced Optical Imaging Technologies (6 papers) and Human Motion and Animation (6 papers). The work is most often cited by research in Human-Computer Interaction (173 citations), Computer Vision and Pattern Recognition (601 citations), Computer Graphics and Computer-Aided Design (65 citations), Signal Processing (116 citations) and Computer Networks and Communications (216 citations). Wanmin Wu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Klara Nahrstedt, Zhenyu Yang, Ahsan Arefin, Gregory J. Norman, Sanjoy Dasgupta, Ernesto Ramirez, Raoul Rivas, Gregorij Kurillo, Růžena Bajcsy and Pooja Agarwal. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, Multimedia Tools and Applications, IEEE Multimedia, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Frontiers in Forests and Global Change.

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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