Dong‐Ming Yan

4.6k citations
165 papers · 3.0k · h-index 29

Impact in

Papers in

Dong‐Ming Yan

150 papers receiving 2.9k citations

Peers

Dong‐Ming Yan
Comparison fields: 5 of 140
  • Computer Graphics and Computer-Aided Design 1.1k
  • Geology 351
  • Computer Vision and Pattern Recognition 1.3k
  • Computational Mechanics 1.1k
  • Architecture 55
Replace Tao Ju with:
Tao Ju United States
Matthias Müller Germany
Kai Xu China
Michela Spagnuolo Italy
Gang Zeng China
Juyong Zhang China
Yoshihisa Shinagawa Japan
Chi–Keung Tang Hong Kong
Bianca Falcidieno Italy
Yutaka Ohtake Japan
Dong‐Ming Yan relative to Tao Ju United States Tao Ju's profile →
Citations per field
00.5×4.2×
Tao Ju · 1×
Citations per year

Countries citing papers authored by Dong‐Ming Yan

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Ming Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Ming Yan. 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 Dong‐Ming Yan. The network helps show where Dong‐Ming Yan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009244
2 2009151
3 2012129
4 2012102
5 2022101
6 201384
7 201881
8 201081
9 201164
10 201462
11 201357
12 201555
13 200953
14 201650
15 202148
16 201846
17 201442
18 201941
19 201637
20 201937

About Dong‐Ming Yan

Dong‐Ming Yan is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Aerospace Engineering and Geology, having authored 165 papers that have together received 3.0k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (59 papers), Computer Graphics and Visualization Techniques (51 papers), Computational Geometry and Mesh Generation (46 papers), Advanced Numerical Analysis Techniques (31 papers), Robotics and Sensor-Based Localization (17 papers), Image Processing and 3D Reconstruction (15 papers), Advanced Vision and Imaging (14 papers) and 3D Surveying and Cultural Heritage (13 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.1k citations), Geology (351 citations), Computer Vision and Pattern Recognition (1.3k citations), Computational Mechanics (1.1k citations) and Architecture (55 citations). Dong‐Ming Yan has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Peter Wonka, Xiaopeng Zhang, Wenping Wang, Yang Liu, Jianwei Guo, Bruno Lévy, Niloy J. Mitra, Weize Quan, Feng Sun and Xiaohong Jia. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Graphics, Computer Graphics Forum, Computer Aided Geometric Design and Computer-Aided Design.

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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