Mosha Chen
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Advanced Graph Neural Networks
- Machine Learning in Healthcare
- Natural Language Processing Techniques
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Topic Modeling 12
- Natural Language Processing Techniques 5
- Advanced Graph Neural Networks 2
- Sentiment Analysis and Opinion Mining 2
- Adversarial Robustness in Machine Learning 1
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- Information Retrieval and Search Behavior 3
- Co-authors
- Chuanqi Tan (13 shared papers)Fei Huang (8 shared papers)Ningyu Zhang (12 shared papers)Huajun Chen (9 shared papers)Shumin Deng (7 shared papers)Songfang Huang (9 shared papers)Xin Yu Xie (3 shared papers)Wei Qiu (2 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)ACM Computing Surveys (1 paper)Lecture notes in computer science (1 paper)JMIR Medical Informatics (1 paper)Communications in computer and information science (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mosha Chen
23 papers receiving 781 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 679
- Health Informatics 25
- Molecular Biology 112
- Information Systems 45
- Computer Vision and Pattern Recognition 33
Countries citing papers authored by Mosha Chen
This map shows the geographic impact of Mosha Chen'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 Mosha Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mosha Chen more than expected).
Fields of papers citing papers by Mosha Chen
This network shows the impact of papers produced by Mosha Chen. 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 Mosha Chen. The network helps show where Mosha Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mosha Chen, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 129 | |
| 2 | 2022 | 95 | |
| 3 | 2020 | 88 | |
| 4 | 2021 | 88 | |
| 5 | 2022 | 82 | |
| 6 | 2022 | 59 | |
| 7 | 2021 | 40 | |
| 8 | 2021 | 38 | |
| 9 | 2021 | 35 | |
| 10 | 2021 | 25 | |
| 11 | 2021 | 22 | |
| 12 | 2020 | 21 | |
| 13 | 2010 | 18 | |
| 14 | 2023 | 15 | |
| 15 | 2021 | 9 | |
| 16 | 2021 | 7 | |
| 17 | 2018 | 6 | |
| 18 | 2020 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2024 | 4 |
About Mosha Chen
Mosha Chen is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Computer Vision and Pattern Recognition and Nuclear Energy and Engineering, having authored 25 papers that have together received 794 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Biomedical Text Mining and Ontologies (6 papers), Natural Language Processing Techniques (5 papers), Information Retrieval and Search Behavior (3 papers), Advanced Graph Neural Networks (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Handwritten Text Recognition Techniques (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Artificial Intelligence (679 citations), Health Informatics (25 citations), Molecular Biology (112 citations), Information Systems (45 citations) and Computer Vision and Pattern Recognition (33 citations). Mosha Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chuanqi Tan, Fei Huang, Ningyu Zhang, Huajun Chen, Shumin Deng, Songfang Huang, Xin Yu Xie, Wei Qiu, Rui Wang and Luo Si. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, ACM Computing Surveys, Lecture notes in computer science, JMIR Medical Informatics and Communications in computer and information science.
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.