Ben He
Impact in
- Information Systems top 0.5%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Expert finding and Q&A systems
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
Papers in
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- Topic Modeling 48
- Natural Language Processing Techniques 15
- Text and Document Classification Technologies 10
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- Information Retrieval and Search Behavior 34
- Expert finding and Q&A systems 9
- Web Data Mining and Analysis 8
Ben He
74 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 76
- Information Systems 910
- Artificial Intelligence 1.2k
- Signal Processing 164
- Computer Science Applications 69
- Computer Vision and Pattern Recognition 250
Countries citing papers authored by Ben He
This map shows the geographic impact of Ben He'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 Ben He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben He more than expected).
Fields of papers citing papers by Ben He
This network shows the impact of papers produced by Ben He. 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 Ben He. The network helps show where Ben He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ben He, 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 | 2024 | 0 | |
| 2 | 2024 | 26 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 9 | |
| 5 | 2021 | 20 | |
| 6 | 2020 | 34 | |
| 7 | UCAS at TREC-2019 Deep Learning Track. | 2019 | 1 |
| 8 | 2018 | 61 | |
| 9 | 2018 | 2 | |
| 10 | UCAS at TREC-2018 Precision Medicine Track. | 2018 | 5 |
| 11 | UCAS at TREC-2017 Precision Medicine Track. | 2017 | 2 |
| 12 | 2013 | 78 | |
| 13 | GUCAS at TREC 2011 Microblog Track. | 2011 | 2 |
| 14 | York University at TREC 2009: Relevance Feedback Track | 2009 | 9 |
| 15 | Limits of Opinion-Finding Baseline Systems | NIST | 2008 | 5 |
| 16 | University of Glasgow at TREC 2008: Experiments in Blog, Enterprise, and Relevance Feedback Tracks with Terrier | 2008 | 17 |
| 17 | Automatically Building a Stopword List for an Information Retrieval System. | 2005 | 99 |
| 18 | University of Glasgow at TREC 2005: Experiments in Terabyte and Enterprise Tracks with Terrier | 2005 | 68 |
| 19 | University of Glasgow at TREC2004: Experiments in Web, Robust and Terabyte tracks with Terrier | 2004 | 49 |
| 20 | University of Glasgow at the Robust Track- A Query-based Model Selection Approach for the Poorly-Performing Queries. | 2003 | 6 |
About Ben He
Ben He is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 77 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (48 papers), Information Retrieval and Search Behavior (34 papers), Natural Language Processing Techniques (15 papers), Advanced Image and Video Retrieval Techniques (13 papers), Text and Document Classification Technologies (10 papers), Expert finding and Q&A systems (9 papers), Biomedical Text Mining and Ontologies (8 papers) and Web Data Mining and Analysis (8 papers). The work is most often cited by research in Information Systems (910 citations), Artificial Intelligence (1.2k citations), Signal Processing (164 citations), Computer Science Applications (69 citations) and Computer Vision and Pattern Recognition (250 citations). Ben He has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Iadh Ounis, Craig Macdonald, Jimmy Xiangji Huang, Le Sun, Hongbo Chen, Jungang Xu, Jie Peng, Kai Hui, Xianpei Han and Vassilis Plachouras. Their work appears in journals such as Information Processing & Management, ACM Transactions on Information Systems, Information Systems, Information Sciences and Data Science and Engineering.
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.