Jiwei Tan
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Information Systems top 10%
- Recommender Systems and Techniques
- Web Data Mining and Analysis
Papers in
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- Topic Modeling 11
- Natural Language Processing Techniques 10
- Advanced Text Analysis Techniques 5
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- Web Data Mining and Analysis 4
- Recommender Systems and Techniques 2
- Information Retrieval and Search Behavior 2
- Co-authors
- Xiaojun Wan (9 shared papers)Jianguo Xiao (7 shared papers)Zhiwei Yu (1 shared paper)Jianmin Zhang (1 shared paper)Xiaoyi Zeng (2 shared papers)Bin Tong (1 shared paper)Chao Wang (1 shared paper)Xiang Li (1 shared paper)
- Journals
- ACM Transactions on Information Systems (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (1 paper)
- Partner nations
- ChinaCzechiaUnited States
In The Last Decade
Jiwei Tan
14 papers receiving 379 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 364
- Information Systems 92
- Computer Vision and Pattern Recognition 78
- General Social Sciences 5
- Marketing 11
Countries citing papers authored by Jiwei Tan
This map shows the geographic impact of Jiwei Tan'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 Jiwei Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiwei Tan more than expected).
Fields of papers citing papers by Jiwei Tan
This network shows the impact of papers produced by Jiwei Tan. 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 Jiwei Tan. The network helps show where Jiwei Tan may publish in the future.
Co-authors
The 21 scholars most cited alongside Jiwei Tan, 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 | 2017 | 193 | |
| 2 | 2017 | 59 | |
| 3 | 2018 | 37 | |
| 4 | 2016 | 23 | |
| 5 | 2020 | 22 | |
| 6 | 2018 | 18 | |
| 7 | 2019 | 15 | |
| 8 | 2015 | 15 | |
| 9 | 2018 | 11 | |
| 10 | 2022 | 9 | |
| 11 | 2020 | 3 | |
| 12 | 2015 | 2 | |
| 13 | Learning to Order Natural Language Texts | 2013 | 2 |
| 14 | 2024 | 1 |
About Jiwei Tan
Jiwei Tan is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Social Psychology, having authored 14 papers that have together received 410 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers), Advanced Text Analysis Techniques (5 papers), Web Data Mining and Analysis (4 papers), Multimodal Machine Learning Applications (3 papers), Recommender Systems and Techniques (2 papers), Information Retrieval and Search Behavior (2 papers) and Digital Marketing and Social Media (1 paper). The work is most often cited by research in Artificial Intelligence (364 citations), Information Systems (92 citations), Computer Vision and Pattern Recognition (78 citations), General Social Sciences (5 citations) and Marketing (11 citations). Jiwei Tan has collaborated with scholars based in China, Czechia and United States. Frequent co-authors include Xiaojun Wan, Jianguo Xiao, Zhiwei Yu, Jianmin Zhang, Xiaoyi Zeng, Bin Tong, Chao Wang, Xiang Li, Tao Zhuang and Baoliang Cui. Their work appears in journals such as ACM Transactions on Information Systems, arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
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.