Ming C. Lin

17.0k citations
232 papers · 11.0k indexed · 3 hit papers · h-index 54

Ming C. Lin

220 papers receiving 10.2k citations

Hit Papers

Example-guided physically based moda...31919962026200620164008001.2k

Peers

Ming C. Lin
Comparison fields: 5 of 157
  • Computer Graphics and Computer-Aided Design 2.6k
  • Computer Vision and Pattern Recognition 6.3k
  • Human-Computer Interaction 1.0k
  • Ocean Engineering 2.2k
  • Control and Systems Engineering 3.0k
Replace Roberto Cipolla with:
Roberto Cipolla United Kingdom
Silvio Savarese United States
Vladlen Koltun United States
Katsushi Ikeuchi Japan
Martial Hebert United States
Seth Teller United States
Sanja Fidler Canada
Deva Ramanan United States
Steven M. LaValle United States
Dieter Fox United States
Ming C. Lin relative to Roberto Cipolla United Kingdom Roberto Cipolla's profile →
Citations per field
00.5×4.7×
Roberto Cipolla · 1×
Citations per year

Countries citing papers authored by Ming C. Lin

Since Specialization
Citations

This map shows the geographic impact of Ming C. 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 C. 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 C. Lin more than expected).

Fields of papers citing papers by Ming C. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming C. 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 C. Lin. The network helps show where Ming C. Lin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering
20217
3
Differentiable Physics Simulation
20201
4 202012
5 20191
6 201982
7
Differentiable Cloth Simulation for Inverse Problems
201948
8
Reciprocal collision avoidance and multi-agent navigation for video games
201221
9 201256
10 201041
11 201017
12
Reciprocal Velocity Obstacles for real-time multi-agent navigationbreakdown →
20081090
13 200830
14 20044
15 200478
16 200435
17
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
2003138
18
Projects in VR
20015
19 200110
20 200084

About Ming C. Lin

Ming C. Lin is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 232 papers that have together received 11.0k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (73 papers), Computational Geometry and Mesh Generation (46 papers), Evacuation and Crowd Dynamics (39 papers), Robotics and Sensor-Based Localization (33 papers), Teleoperation and Haptic Systems (28 papers), Human Motion and Animation (27 papers), Tactile and Sensory Interactions (26 papers) and Virtual Reality Applications and Impacts (24 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (2.6k citations), Computer Vision and Pattern Recognition (6.3k citations) and Human-Computer Interaction (1.0k citations). Ming C. Lin has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Dinesh Manocha, S. Gottschalk, Jur van den Berg, Miguel Á. Otaduy, John Canny, Stephen J. Guy, Madhav K. Ponamgi, Sean Curtis, Stephen Ehmann and Naga K. Govindaraju. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Graphics, Computer Graphics Forum, IEEE Computer Graphics and Applications and The Visual Computer.

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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