Mosha Chen
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Domain Adaptation and Few-Shot Learning
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- Data Quality and Management
Papers in
-
- Topic Modeling 19
- Natural Language Processing Techniques 13
- Advanced Graph Neural Networks 3
- Advanced Text Analysis Techniques 2
- Sentiment Analysis and Opinion Mining 2
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- Biomedical Text Mining and Ontologies 5
- Co-authors
- Chuanqi Tan (12 shared papers)Fei Huang (8 shared papers)Ningyu Zhang (10 shared papers)Huajun Chen (8 shared papers)Shumin Deng (7 shared papers)Songfang Huang (8 shared papers)Xin Xie (2 shared papers)Wei Qiu (2 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)ACM Computing Surveys (1 paper)JMIR Medical Informatics (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (3 papers)arXiv (Cornell University) (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mosha Chen
18 papers receiving 533 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 509
- Management Science and Operations Research 76
- Health Informatics 6
- Information Systems 67
- Computer Vision and Pattern Recognition 47
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 102 | |
| 2 | 2020 | 72 | |
| 3 | 2021 | 70 | |
| 4 | 2022 | 61 | |
| 5 | 2022 | 49 | |
| 6 | 2021 | 33 | |
| 7 | 2021 | 32 | |
| 8 | 2021 | 26 | |
| 9 | 2021 | 23 | |
| 10 | 2020 | 17 | |
| 11 | 2010 | 16 | |
| 12 | 2021 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2018 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2020 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2023 | 0 |
About Mosha Chen
Mosha Chen is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Management Science and Operations Research and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 543 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (13 papers), Biomedical Text Mining and Ontologies (5 papers), Advanced Graph Neural Networks (3 papers), Advanced Text Analysis Techniques (2 papers), Multimodal Machine Learning Applications (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Artificial Intelligence (509 citations), Management Science and Operations Research (76 citations), Health Informatics (6 citations), Information Systems (67 citations) and Computer Vision and Pattern Recognition (47 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 Xie, Wei Qiu, Rui Wang and Yao Fu. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, ACM Computing Surveys, JMIR Medical Informatics, Proceedings of the AAAI Conference on Artificial Intelligence and arXiv (Cornell University).
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.