Tengfei Ma
-
- Computational Drug Discovery Methods 5
- Artificial Intelligence top 1%
- Topic Modeling 22
- Natural Language Processing Techniques 17
- Advanced Graph Neural Networks 13
- Machine Learning in Healthcare 6
- Advanced Text Analysis Techniques 5
- Machine Learning and Algorithms 4
- Health Informatics top 5%
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- Complex Network Analysis Techniques 5
- Journals
- Bioinformatics (1 paper)PLoS ONE (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Tengfei Ma
86 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 150
- Computational Theory and Mathematics 472
- Artificial Intelligence 857
- Health Informatics 32
- Health Information Management 94
- Computer Vision and Pattern Recognition 180
Countries citing papers authored by Tengfei Ma
This map shows the geographic impact of Tengfei Ma'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 Tengfei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tengfei Ma more than expected).
Fields of papers citing papers by Tengfei Ma
This network shows the impact of papers produced by Tengfei Ma. 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 Tengfei Ma. The network helps show where Tengfei Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tengfei Ma, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 21 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 46 | |
| 15 | 2021 | 54 | |
| 16 | 2020 | 31 | |
| 17 | Research on micro-foam drilling fluid suitable for coalbed methane drilling | 2020 | 2 |
| 18 | 2019 | 8 | |
| 19 | 2013 | 5 | |
| 20 | Named Entity Recognition in Chinese News Comments on the Web | 2011 | 5 |
About Tengfei Ma
Tengfei Ma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (17 papers), Advanced Graph Neural Networks (13 papers), Machine Learning in Healthcare (6 papers), Computational Drug Discovery Methods (5 papers), Advanced Text Analysis Techniques (5 papers), Complex Network Analysis Techniques (5 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Computational Theory and Mathematics (472 citations), Artificial Intelligence (857 citations) and Health Informatics (32 citations). Tengfei Ma has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Cao Xiao, Xiangxiang Zeng, Jimeng Sun, Zhijie Wang, Zhe Quan, Xuan Lin, Hongyan Li, Lingfei Wu, Junyuan Shang and Jiayu Zhou. Their work appears in journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.