Chen He
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Computer Science Applications top 10%
Papers in
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- Data Visualization and Analytics 6
- Video Analysis and Summarization 2
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- Scientific Computing and Data Management 1
- Personal Information Management and User Behavior 1
- Co-authors
- Denis Parra (2 shared papers)Katrien Verbert (2 shared papers)Luana Micallef (5 shared papers)Giulio Jacucci (6 shared papers)Tero A. Aittokallio (2 shared papers)Liye He (1 shared paper)Samuel Kaski (2 shared papers)Peddinti V. Gopalacharyulu (1 shared paper)
In The Last Decade
Chen He
8 papers receiving 305 citations
Chen He's Hit Papers
Peers
Comparison fields: 5 of 69
- Information Systems 196
- Computer Science Applications 33
- Computer Vision and Pattern Recognition 102
- Artificial Intelligence 128
- Human-Computer Interaction 22
Countries citing papers authored by Chen He
This map shows the geographic impact of Chen 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 Chen He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen He more than expected).
Fields of papers citing papers by Chen He
This network shows the impact of papers produced by Chen 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 Chen He. The network helps show where Chen He may publish in the future.
Co-authors
The 21 scholars most cited alongside Chen 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 | Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities Hit paper breakdown → | 2016 | 282 |
| 2 | 2020 | 10 | |
| 3 | 2018 | 7 | |
| 4 | 2017 | 7 | |
| 5 | Scalable exploration of relevance prospects to support decision making | 2016 | 7 |
| 6 | 2021 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2026 | 0 |
About Chen He
Chen He is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Management, Information Systems, Artificial Intelligence and Computer Science Applications, having authored 9 papers that have together received 319 indexed citations. Recurring topics across this work include Data Visualization and Analytics (6 papers), Advanced Text Analysis Techniques (3 papers), Video Analysis and Summarization (2 papers), Recommender Systems and Techniques (2 papers), Information Retrieval and Search Behavior (1 paper), Biomedical Text Mining and Ontologies (1 paper), Scientific Computing and Data Management (1 paper) and Personal Information Management and User Behavior (1 paper). The work is most often cited by research in Information Systems (196 citations), Computer Science Applications (33 citations), Computer Vision and Pattern Recognition (102 citations), Artificial Intelligence (128 citations) and Human-Computer Interaction (22 citations). Chen He has collaborated with scholars based in Finland, Denmark and Belgium. Frequent co-authors include Denis Parra, Katrien Verbert, Luana Micallef, Giulio Jacucci, Tero A. Aittokallio, Liye He, Samuel Kaski, Peddinti V. Gopalacharyulu, Ziaurrehman Tanoli and Tomi Peltola. Their work appears in journals such as Expert Systems with Applications, Bioinformatics, IEEE Transactions on Visualization and Computer Graphics, BMC Bioinformatics and ACM Computing Surveys.
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.