Changbo Wang

1.3k citations
139 papers · 833 · h-index 13

Impact in

Papers in

Changbo Wang

115 papers receiving 797 citations

Peers

Changbo Wang
Comparison fields: 5 of 114
  • Computer Graphics and Computer-Aided Design 125
  • Computer Vision and Pattern Recognition 437
  • Human-Computer Interaction 67
  • Computational Mechanics 129
  • Artificial Intelligence 160
Replace Ning Xie with:
Ning Xie China
Krešimir Matković Austria
Aidong Lu United States
Nataniel Ruiz United States
Masahiro Takatsuka Australia
Zunlei Feng China
Ming‐Ching Chang United States
Lvmin Zhang Hong Kong
Yuzhu Ji China
Rong Liu China
Changbo Wang relative to Ning Xie China Ning Xie's profile →
Citations per field
00.5×5.7×
Ning Xie · 1×
Citations per year

Countries citing papers authored by Changbo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changbo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014104
2 201361
3 202041
4 201235
5 202030
6 200626
7 201924
8 200924
9 201823
10 201818
11 202114
12 202214
13 201712
14 202110
15 202210
16 201810
17 202010
18 20139
19 20189
20 20209

About Changbo Wang

Changbo Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Control and Systems Engineering, having authored 139 papers that have together received 833 indexed citations. Recurring topics across this work include Data Visualization and Analytics (33 papers), Computer Graphics and Visualization Techniques (18 papers), Advanced Vision and Imaging (13 papers), Lattice Boltzmann Simulation Studies (13 papers), Advanced Image and Video Retrieval Techniques (12 papers), Fluid Dynamics Simulations and Interactions (11 papers), Evacuation and Crowd Dynamics (11 papers) and Human Pose and Action Recognition (10 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (125 citations), Computer Vision and Pattern Recognition (437 citations), Human-Computer Interaction (67 citations), Computational Mechanics (129 citations) and Artificial Intelligence (160 citations). Changbo Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chenhui Li, Yuhua Liu, Yifei Huang, Peiying Zhang, Yi Yu, Yue Gao, Luming Zhang, Xuelong Li, Yi Yang and Hong Qin. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, The Visual Computer, Computer Graphics Forum, Computers & Graphics 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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