Ming Lin
Impact in
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- Computer Graphics and Visualization Techniques
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- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
Papers in
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- Robotic Path Planning Algorithms 4
- Co-authors
- Dinesh Manocha (3 shared papers)Stephen R. Marschner (1 shared paper)Florence Bertails (1 shared paper)Marie‐Paule Cani (1 shared paper)Taeyong Kim (1 shared paper)Kelly Ward (1 shared paper)Jan van den Berg (1 shared paper)Jack Snoeyink (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (2 papers)Proceedings of the IEEE (1 paper)Advanced Science (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Ophthalmology and Therapy (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Ming Lin
12 papers receiving 352 citations
Peers
Comparison fields: 5 of 68
- Computer Graphics and Computer-Aided Design 135
- Computer Vision and Pattern Recognition 231
- Computational Mechanics 121
- Control and Systems Engineering 89
- Human-Computer Interaction 20
Countries citing papers authored by Ming Lin
This map shows the geographic impact of Ming Lin'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 Ming Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Lin more than expected).
Fields of papers citing papers by Ming Lin
This network shows the impact of papers produced by Ming Lin. 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 Ming Lin. The network helps show where Ming Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 175 | |
| 2 | 2009 | 108 | |
| 3 | 2007 | 35 | |
| 4 | 2013 | 23 | |
| 5 | 2006 | 9 | |
| 6 | 2021 | 8 | |
| 7 | 2025 | 7 | |
| 8 | 2020 | 4 | |
| 9 | 2018 | 3 | |
| 10 | 2022 | 1 | |
| 11 | 2011 | 1 | |
| 12 | 2013 | 1 | |
| 13 | 2024 | 0 |
About Ming Lin
Ming Lin is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Automotive Engineering, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 375 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (4 papers), Corneal Surgery and Treatments (2 papers), Reconstructive Facial Surgery Techniques (1 paper), Data Management and Algorithms (1 paper), Nanoplatforms for cancer theranostics (1 paper), Robotics and Sensor-Based Localization (1 paper), Virtual Reality Applications and Impacts (1 paper) and Robot Manipulation and Learning (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (135 citations), Computer Vision and Pattern Recognition (231 citations), Computational Mechanics (121 citations), Control and Systems Engineering (89 citations) and Human-Computer Interaction (20 citations). Ming Lin has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Dinesh Manocha, Stephen R. Marschner, Florence Bertails, Marie‐Paule Cani, Taeyong Kim, Kelly Ward, Jan van den Berg, Jack Snoeyink, Russell Gayle and Avneesh Sud. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Proceedings of the IEEE, Advanced Science, Frontiers in Cell and Developmental Biology and Ophthalmology and Therapy.
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.