Cheng Wan

47 papers receiving 377 citations

Peers

Cheng Wan
Comparison fields: 5 of 89
  • Computer Graphics and Computer-Aided Design 32
  • Health Informatics 6
  • Computer Vision and Pattern Recognition 89
  • Hardware and Architecture 26
  • Artificial Intelligence 91
Replace Kyoungsu Oh with:
Kyoungsu Oh South Korea
Sen He China
Keke Tang China
Sara Sabour United States
Tong Wu China
Seong‐heum Kim South Korea
Chang Xiao United States
Yunfei Liu China
Steven Senger United States
David Chelberg United States
Cheng Wan relative to Kyoungsu Oh South Korea Kyoungsu Oh's profile →
Citations per field
00.5×8.3×
Kyoungsu Oh · 1×
Citations per year

Countries citing papers authored by Cheng Wan

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202356
2 202347
3 202436
4 200932
5 202420
6 201619
7 201516
8 202312
9 202412
10 202210
11 20249
12 20109
13 20217
14 20237
15 20156
16 20226
17 20245
18 20235
19 20225
20 20245

About Cheng Wan

Cheng Wan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems and Signal Processing, having authored 53 papers that have together received 387 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Service-Oriented Architecture and Web Services (5 papers), Computer Graphics and Visualization Techniques (5 papers), Data Management and Algorithms (4 papers), Optical measurement and interference techniques (4 papers), 3D Shape Modeling and Analysis (3 papers), Robotics and Sensor-Based Localization (3 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (32 citations), Health Informatics (6 citations), Computer Vision and Pattern Recognition (89 citations), Hardware and Architecture (26 citations) and Artificial Intelligence (91 citations). Cheng Wan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yingyan Lin, Chaojian Li, Sixu Li, Yonggan Fu, Athman Bouguettaya, Xuan Zhou, Hongbing Wang, Haoran You, Yang Zhao and Yongan Zhang. Their work appears in journals such as Frontiers in Psychiatry, Acta Tropica, Frontiers in Oncology, Academic Radiology and International Journal of Medical Informatics.

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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