Rujun Han
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Machine Learning in Healthcare
- Artificial Intelligence in Games
Papers in
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- Topic Modeling 13
- Natural Language Processing Techniques 6
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- Information Retrieval and Search Behavior 2
- Co-authors
- Nanyun Peng (10 shared papers)Ning Qiang (2 shared papers)Yichao Zhou (2 shared papers)Dan Roth (3 shared papers)I-Hung Hsu (2 shared papers)Mu Yang (2 shared papers)Matt Gardner (1 shared paper)Aram Galstyan (2 shared papers)
- Journals
- Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (1 paper)Annual Meeting of the Association for Computational Linguistics (ACL) (2 papers)Conference on Empirical Methods in Natural Language Processing (EMNLP) (8 papers)arXiv (Cornell University) (1 paper)Conference on Computational Natural Language Learning (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Rujun Han
16 papers receiving 347 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 306
- General Social Sciences 5
- Computer Vision and Pattern Recognition 27
- Molecular Biology 24
- Computer Science Applications 2
Countries citing papers authored by Rujun Han
This map shows the geographic impact of Rujun Han'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 Rujun Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rujun Han more than expected).
Fields of papers citing papers by Rujun Han
This network shows the impact of papers produced by Rujun Han. 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 Rujun Han. The network helps show where Rujun Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Rujun Han, 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 | 2019 | 88 | |
| 2 | 2020 | 50 | |
| 3 | 2019 | 43 | |
| 4 | 2021 | 30 | |
| 5 | 2020 | 27 | |
| 6 | 2021 | 24 | |
| 7 | 2021 | 20 | |
| 8 | 2021 | 19 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2018 | 6 | |
| 14 | 2020 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About Rujun Han
Rujun Han is a scholar working on Artificial Intelligence, Information Systems, Statistics, Probability and Uncertainty, Safety Research and General Health Professions, having authored 18 papers that have together received 350 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (6 papers), Information Retrieval and Search Behavior (2 papers), scientometrics and bibliometrics research (1 paper), Reflective Practices in Education (1 paper), Innovations in Medical Education (1 paper), Dental Education, Practice, Research (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Artificial Intelligence (306 citations), General Social Sciences (5 citations), Computer Vision and Pattern Recognition (27 citations), Molecular Biology (24 citations) and Computer Science Applications (2 citations). Rujun Han has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Nanyun Peng, Ning Qiang, Yichao Zhou, Dan Roth, I-Hung Hsu, Mu Yang, Matt Gardner, Aram Galstyan, Hao Wu and Ralph Weischedel. Their work appears in journals such as Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Annual Meeting of the Association for Computational Linguistics (ACL), Conference on Empirical Methods in Natural Language Processing (EMNLP), arXiv (Cornell University) and Conference on Computational Natural Language Learning.
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.