Jiyin He
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Water Science and Technology top 10%
- Molecular Biology
- Co-authors
- Arjen P. de VriesMaarten de RijkeBastiaan J. BoomPhoenix X. HuangRobert B. FisherConcetto SpampinatoSimone PalazzoCigdem Beyan
- Topics
- Information Retrieval and Search Behavior (18 papers)Topic Modeling (17 papers)Expert finding and Q&A systems (10 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Jiyin He
40 papers receiving 640 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 290
- Information Systems 264
- Computer Vision and Pattern Recognition 189
- Water Science and Technology 108
- Molecular Biology 72
Countries citing papers authored by Jiyin He
This map shows the geographic impact of Jiyin 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 Jiyin He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiyin He more than expected).
Fields of papers citing papers by Jiyin He
This network shows the impact of papers produced by Jiyin 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 Jiyin He. The network helps show where Jiyin He may publish in the future.
Co-authorship network of co-authors of Jiyin He
This figure shows the co-authorship network connecting the top 25 collaborators of Jiyin He. A scholar is included among the top collaborators of Jiyin He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiyin He. Jiyin He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 51 | |
| 3 | Measuring Demonstrated Potential Domain Knowledge with Knowledge Graphs. | 4 |
| 4 | Proceedings of the Second International Workshop on Search as Learning | 4 |
| 5 | 14 | |
| 6 | 14 | |
| 7 | 29 | |
| 8 | 10 | |
| 9 | CWI and TU Delft at TREC 2013: Contextual Suggestion, Federated Web Search, KBA, and Web Tracks | 6 |
| 10 | 12 | |
| 11 | 15 | |
| 12 | 104 | |
| 13 | CWI at TREC 2012, KBA track and Session Track | 8 |
| 14 | Proceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications | 2 |
| 15 | 2 | |
| 16 | Long-term underwater camera surveillance for monitoring and analysis of fish populations | 39 |
| 17 | 44 | |
| 18 | CWI at TREC 2011: Session, Web, and Medical | 4 |
| 19 | Topical Diversity and Relevance Feedback | 0 |
| 20 | Incorporating Non-Relevance Information in the Estimation of Query Models | 4 |
About Jiyin He
Jiyin He is a scholar working on Computer Science Applications, Information Systems and Artificial Intelligence, having authored 43 papers that have together received 684 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (18 papers), Topic Modeling (17 papers) and Expert finding and Q&A systems (10 papers). The work is most often cited by research in Information Systems (264 citations), Computer Science Applications (55 citations) and Computer Vision and Pattern Recognition (189 citations). Jiyin He has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Arjen P. de Vries, Maarten de Rijke, Bastiaan J. Boom, Phoenix X. Huang, Robert B. Fisher, Concetto Spampinato, Simone Palazzo, Cigdem Beyan, Edgar Meij and Iadh Ounis. Their work appears in journals such as Information Processing & Management, Multimedia Tools and Applications and Ecological Informatics.
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.