Jianglei Han
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
- Sentiment Analysis and Opinion Mining
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- Data Quality and Management
Papers in
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- Topic Modeling 5
- Natural Language Processing Techniques 4
- Text and Document Classification Technologies 4
- Sentiment Analysis and Opinion Mining 1
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- Web Data Mining and Analysis 1
- Software Engineering Research 1
- Co-authors
- Aixin Sun (6 shared papers)Chenliang Li (2 shared papers)Jing Li (2 shared papers)Mohammad Akbari (2 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)UCL Discovery (University College London) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- SingaporeChinaUnited Arab Emirates
In The Last Decade
Jianglei Han
7 papers receiving 844 citations
Jianglei Han's Hit Papers
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 693
- Management Science and Operations Research 105
- Health Informatics 9
- Information Systems 152
- Radiological and Ultrasound Technology 20
Countries citing papers authored by Jianglei Han
This map shows the geographic impact of Jianglei 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 Jianglei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianglei Han more than expected).
Fields of papers citing papers by Jianglei Han
This network shows the impact of papers produced by Jianglei 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 Jianglei Han. The network helps show where Jianglei Han may publish in the future.
Co-authors
The 4 scholars most cited alongside Jianglei 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 | A Survey on Deep Learning for Named Entity Recognition Hit paper breakdown → | 2020 | 869 |
| 2 | 2018 | 8 | |
| 3 | 2018 | 7 | |
| 4 | 2020 | 6 | |
| 5 | 2023 | 5 | |
| 6 | 2017 | 3 | |
| 7 | 2015 | 1 |
About Jianglei Han
Jianglei Han is a scholar working on Artificial Intelligence, Information Systems, Computer Science Applications, Human-Computer Interaction and Infectious Diseases, having authored 7 papers that have together received 899 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Text and Document Classification Technologies (4 papers), Web Data Mining and Analysis (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Software Engineering Research (1 paper), Mobile Crowdsensing and Crowdsourcing (1 paper) and Usability and User Interface Design (1 paper). The work is most often cited by research in Artificial Intelligence (693 citations), Management Science and Operations Research (105 citations), Health Informatics (9 citations), Information Systems (152 citations) and Radiological and Ultrasound Technology (20 citations). Jianglei Han has collaborated with scholars based in Singapore, China and United Arab Emirates. Frequent co-authors include Aixin Sun, Chenliang Li, Jing Li and Mohammad Akbari. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, UCL Discovery (University College London) and Proceedings of the AAAI Conference on Artificial 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.