Chaoli Wang

3.1k citations
129 papers · 2.1k · h-index 27

Impact in

Papers in

Chaoli Wang

121 papers receiving 2.0k citations

Peers

Chaoli Wang
Comparison fields: 5 of 132
  • Computer Graphics and Computer-Aided Design 722
  • Computer Vision and Pattern Recognition 1.4k
  • Signal Processing 294
  • Information Systems and Management 110
  • Computational Mechanics 230
Replace Penny Rheingans with:
Penny Rheingans United States
Hans Hagen Germany
Xiaoru Yuan China
Hanqi Guo United States
Sameer Agarwal United States
Ken Brodlie United Kingdom
Craig M. Wittenbrink United States
M. Eduard Gröller Austria
Michael E. Papka United States
Jim Gray United States
Chaoli Wang relative to Penny Rheingans United States Penny Rheingans's profile →
Citations per field
00.5×12.2×
Penny Rheingans · 1×
Citations per year

Countries citing papers authored by Chaoli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010123
2 2008112
3 201178
4 201869
5 200468
6 201258
7 201157
8 201955
9 200754
10 201945
11 202042
12 202239
13 202039
14 202035
15 201135
16 200634
17 202233
18 201032
19 201932
20 202032

About Chaoli Wang

Chaoli Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 129 papers that have together received 2.1k indexed citations. Recurring topics across this work include Data Visualization and Analytics (50 papers), Computer Graphics and Visualization Techniques (47 papers), Advanced Vision and Imaging (27 papers), Video Analysis and Summarization (13 papers), Advanced Image Processing Techniques (13 papers), Data Management and Algorithms (9 papers), Image Retrieval and Classification Techniques (9 papers) and 3D Shape Modeling and Analysis (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (722 citations), Computer Vision and Pattern Recognition (1.4k citations), Signal Processing (294 citations), Information Systems and Management (110 citations) and Computational Mechanics (230 citations). Chaoli Wang has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Jun Han, Han‐Wei Shen, Hongfeng Yu, Jun Tao, Kwan‐Liu Ma, Ching-Kuang Shene, Danny Z. Chen, Kwan-Liu Ma, Yi Gu and Jun Ma. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, IEEE Computer Graphics and Applications, Visual Informatics and Information Visualization.

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.

Explore authors with similar magnitude of impact