Dong‐Ming Yan

4.5k total citations
165 papers, 2.8k citations indexed

About

Dong‐Ming Yan is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Dong‐Ming Yan has authored 165 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Computer Vision and Pattern Recognition, 74 papers in Computational Mechanics and 73 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Dong‐Ming Yan's work include 3D Shape Modeling and Analysis (59 papers), Computer Graphics and Visualization Techniques (51 papers) and Computational Geometry and Mesh Generation (46 papers). Dong‐Ming Yan is often cited by papers focused on 3D Shape Modeling and Analysis (59 papers), Computer Graphics and Visualization Techniques (51 papers) and Computational Geometry and Mesh Generation (46 papers). Dong‐Ming Yan collaborates with scholars based in China, Saudi Arabia and United States. Dong‐Ming Yan's co-authors include Peter Wonka, Xiaopeng Zhang, Wenping Wang, Yang Liu, Bruno Lévy, Jianwei Guo, Niloy J. Mitra, Weize Quan, Feng Sun and Xiaohong Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Industrial Electronics.

In The Last Decade

Dong‐Ming Yan

148 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dong‐Ming Yan China 27 1.2k 1.1k 1.1k 340 271 165 2.8k
Michela Spagnuolo Italy 30 1.8k 1.5× 2.0k 1.8× 1.2k 1.1× 400 1.2× 168 0.6× 147 3.4k
Bianca Falcidieno Italy 26 1.3k 1.0× 1.4k 1.3× 977 0.9× 305 0.9× 123 0.5× 120 2.5k
Juyong Zhang China 34 2.2k 1.8× 1.3k 1.2× 705 0.6× 243 0.7× 290 1.1× 130 3.6k
Jean‐Daniel Boissonnat France 32 1.5k 1.3× 1.4k 1.3× 2.0k 1.8× 214 0.6× 552 2.0× 120 3.9k
Yoshihisa Shinagawa Japan 20 1.8k 1.5× 1.3k 1.1× 971 0.9× 186 0.5× 169 0.6× 67 3.1k
Xianfang Sun United Kingdom 23 1.2k 1.0× 726 0.6× 453 0.4× 311 0.9× 303 1.1× 102 2.2k
Kristin Dana United States 30 2.8k 2.3× 555 0.5× 846 0.8× 236 0.7× 259 1.0× 76 4.5k
Matthias Müller Germany 24 1.3k 1.0× 1.7k 1.5× 1.3k 1.2× 169 0.5× 299 1.1× 42 4.1k
Scott Schaefer United States 31 1.5k 1.2× 2.8k 2.5× 2.4k 2.2× 222 0.7× 160 0.6× 82 4.1k
Kai Xu China 39 2.4k 2.0× 1.9k 1.7× 1.0k 0.9× 969 2.9× 757 2.8× 207 4.6k

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-authorship network of co-authors of Dong‐Ming Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Ming Yan. A scholar is included among the top collaborators of Dong‐Ming Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dong‐Ming Yan. Dong‐Ming Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhao, Mingyang, et al.. (2025). Efficient roof reconstruction from a single aerial image. Computers & Graphics. 132. 104355–104355.
2.
Tian, Ye, Yu Liu, Yan Xie, et al.. (2025). Coupled effects of chlorides and sulfates on steel reinforcement corrosion in concrete structures: A comprehensive review. Case Studies in Construction Materials. 22. e04263–e04263. 6 indexed citations
3.
Song, J., Lei Wang, Shiqing Xin, et al.. (2025). Towards Voronoi Diagrams of Surface Patches. IEEE Transactions on Visualization and Computer Graphics. 31(10). 6810–6823.
4.
Jiang, Jie, et al.. (2025). Distinctive learning of latent space feature for occlusion-aware facade parsing. Building and Environment. 279. 112955–112955.
5.
Xiao, Yufeng, et al.. (2024). A radioactive source-seeking method based on angle constraint and particle diffusion. Nuclear Engineering and Technology. 57(3). 103237–103237.
6.
Wang, Hanxiao, Mingyang Zhao, Yiqun Wang, Weize Quan, & Dong‐Ming Yan. (2024). VQ-CAD: Computer-Aided Design model generation with vector quantized diffusion. Computer Aided Geometric Design. 111. 102327–102327. 5 indexed citations
7.
Chen, Xiao‐Diao, et al.. (2024). Improving ellipse fitting via multi-scale smoothing and key-point searching. Pattern Recognition. 151. 110432–110432.
8.
Cui, Yue, Jialu Liu, Mingyang Zhao, et al.. (2024). FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA. Computers in Biology and Medicine. 170. 107996–107996. 5 indexed citations
9.
Guo, Jiao, et al.. (2024). DTESR: Remote Sensing Imagery Super-Resolution With Dynamic Reference Textures Exploitation. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.
10.
Zhao, Mingyang, Xiaohong Jia, Лей Ма, et al.. (2024). A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific Fitting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10106–10123. 1 indexed citations
11.
Zhao, Mingyang, Keqiang Li, Weize Quan, et al.. (2024). CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-Scale Geometry. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 6171–6179. 4 indexed citations
12.
Zou, Bin, Shuang Zhang, Xiaoqing Xu, et al.. (2023). Glycyrrhetinic acid attenuates endoplasmic reticulum stress-induced hepatocyte apoptosis via CHOP/DR5/Caspase 8 pathway in cholestasis. European Journal of Pharmacology. 961. 176193–176193. 6 indexed citations
13.
Wang, Pengfei, Dong‐Ming Yan, Shuangmin Chen, et al.. (2023). Parallel Post-processing of Restricted Voronoi Diagram on Thin Sheet Models. Computer-Aided Design. 159. 103511–103511. 2 indexed citations
14.
Hu, Qinglei, et al.. (2023). A Triple-Stage Robust Ellipse Fitting Algorithm Based on Outlier Removal. IEEE Transactions on Instrumentation and Measurement. 72. 1–14. 3 indexed citations
15.
Quan, Weize, Ruisong Zhang, Yong Zhang, et al.. (2022). Image Inpainting With Local and Global Refinement. IEEE Transactions on Image Processing. 31. 2405–2420. 94 indexed citations
16.
Quan, Weize, et al.. (2022). Neural texture transfer assisted video coding with adaptive up-sampling. Signal Processing Image Communication. 107. 116754–116754. 1 indexed citations
17.
Quan, Weize, et al.. (2022). Dense Modality Interaction Network for Audio-Visual Event Localization. IEEE Transactions on Multimedia. 25. 2734–2748. 15 indexed citations
18.
Shen, Zeyu, et al.. (2021). Combining convex hull and directed graph for fast and accurate ellipse detection. Graphical Models. 116. 101110–101110. 14 indexed citations
19.
Cao, Junjie, et al.. (2021). Geometry Guided Deep Surface Normal Estimation. Computer-Aided Design. 142. 103119–103119. 22 indexed citations
20.
Quan, Weize, Kai Wang, Dong‐Ming Yan, & Xiaopeng Zhang. (2018). Distinguishing Between Natural and Computer-Generated Images Using Convolutional Neural Networks. IEEE Transactions on Information Forensics and Security. 13(11). 2772–2787. 78 indexed citations

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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