Ming Cai
Impact in
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- Computer Graphics and Visualization Techniques
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- Manufacturing Process and Optimization
- Digital Transformation in Industry
Papers in
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- Semantic Web and Ontologies 4
- Sentiment Analysis and Opinion Mining 4
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- Image and Object Detection Techniques 4
- Human Pose and Action Recognition 3
- Co-authors
- Ruofeng Tong (6 shared papers)Lanfen Lin (8 shared papers)Ian Reid (6 shared papers)Cheng Li (1 shared paper)Dinesh Manocha (1 shared paper)Min Tang (1 shared paper)Wenyu Zhang (3 shared papers)Jinxiang Dong (9 shared papers)
In The Last Decade
Ming Cai
54 papers receiving 701 citations
Peers
Comparison fields: 5 of 101
- Computer Graphics and Computer-Aided Design 59
- Industrial and Manufacturing Engineering 116
- Computer Vision and Pattern Recognition 179
- Management of Technology and Innovation 53
- Management Information Systems 60
Countries citing papers authored by Ming Cai
This map shows the geographic impact of Ming Cai'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 Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Cai more than expected).
Fields of papers citing papers by Ming Cai
This network shows the impact of papers produced by Ming Cai. 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 Cai. The network helps show where Ming Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Cai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 98 | |
| 2 | 2010 | 66 | |
| 3 | 2010 | 64 | |
| 4 | 2021 | 43 | |
| 5 | 2020 | 32 | |
| 6 | 2022 | 32 | |
| 7 | 2020 | 27 | |
| 8 | 2020 | 26 | |
| 9 | 2018 | 26 | |
| 10 | 2013 | 26 | |
| 11 | 2019 | 18 | |
| 12 | 2012 | 18 | |
| 13 | 2020 | 17 | |
| 14 | 2008 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2022 | 15 | |
| 17 | 2021 | 15 | |
| 18 | 2024 | 15 | |
| 19 | 2019 | 15 | |
| 20 | Real-time monocular object instance 6D pose estimation | 2018 | 13 |
About Ming Cai
Ming Cai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering, having authored 61 papers that have together received 725 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (8 papers), Business Process Modeling and Analysis (5 papers), Image and Object Detection Techniques (4 papers), Semantic Web and Ontologies (4 papers), Distributed systems and fault tolerance (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Human Pose and Action Recognition (3 papers) and Manufacturing Process and Optimization (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (59 citations), Industrial and Manufacturing Engineering (116 citations), Computer Vision and Pattern Recognition (179 citations), Management of Technology and Innovation (53 citations) and Management Information Systems (60 citations). Ming Cai has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Ruofeng Tong, Lanfen Lin, Ian Reid, Cheng Li, Dinesh Manocha, Min Tang, Wenyu Zhang, Jinxiang Dong, Shuai Zhang and Fei Wu. Their work appears in journals such as Neurocomputing, International Journal of Production Research, Sensors, Medical Physics and IEEE Transactions on Systems Man and Cybernetics Systems.
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.