Yao Ming
Impact in
- Health Informatics top 10%
-
- Data Visualization and Analytics
Papers in
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- Graph Labeling and Dimension Problems 17
- Advanced Graph Theory Research 7
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- Explainable Artificial Intelligence (XAI) 3
- Advanced Computational Techniques and Applications 2
- Co-authors
- Huamin Qu (6 shared papers)Enrico Bertini (1 shared paper)Bing Yao (18 shared papers)Zhen Li (2 shared papers)Ruixiang Zhang (1 shared paper)Yangqiu Song (1 shared paper)Yuanzhe Chen (1 shared paper)Shaozu Cao (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (5 papers)Information Sciences (1 paper)Applied Mechanics and Materials (3 papers)Advanced materials research (1 paper)Wuhan Daxue xuebao. Xinxi kexue ban (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yao Ming
26 papers receiving 529 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 20
- Computer Vision and Pattern Recognition 237
- Artificial Intelligence 315
- Computational Theory and Mathematics 91
- Information Systems and Management 32
Countries citing papers authored by Yao Ming
This map shows the geographic impact of Yao Ming'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 Yao Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Ming more than expected).
Fields of papers citing papers by Yao Ming
This network shows the impact of papers produced by Yao Ming. 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 Yao Ming. The network helps show where Yao Ming may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao Ming, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 161 | |
| 2 | 2017 | 136 | |
| 3 | 2020 | 74 | |
| 4 | 2019 | 41 | |
| 5 | A Note on Strongly Graceful Trees. | 2009 | 25 |
| 6 | Connections between labellings of trees | 2017 | 13 |
| 7 | 2021 | 12 | |
| 8 | 2017 | 11 | |
| 9 | 2014 | 11 | |
| 10 | 2012 | 9 | |
| 11 | 2014 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2013 | 6 | |
| 14 | 2008 | 6 | |
| 15 | 2014 | 3 | |
| 16 | 2014 | 3 | |
| 17 | 2010 | 3 | |
| 18 | 2013 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2014 | 1 |
About Yao Ming
Yao Ming is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Geometry and Topology and Signal Processing, having authored 31 papers that have together received 542 indexed citations. Recurring topics across this work include Graph Labeling and Dimension Problems (17 papers), Graph theory and applications (7 papers), Advanced Graph Theory Research (7 papers), Data Visualization and Analytics (5 papers), Data Management and Algorithms (3 papers), graph theory and CDMA systems (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Advanced Computational Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (20 citations), Computer Vision and Pattern Recognition (237 citations), Artificial Intelligence (315 citations), Computational Theory and Mathematics (91 citations) and Information Systems and Management (32 citations). Yao Ming has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Huamin Qu, Enrico Bertini, Bing Yao, Zhen Li, Ruixiang Zhang, Yangqiu Song, Yuanzhe Chen, Shaozu Cao, Panpan Xu and Liu Ren. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Information Sciences, Applied Mechanics and Materials, Advanced materials research and Wuhan Daxue xuebao. Xinxi kexue ban.
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.