Bin Bi
Impact in
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- Multimodal Machine Learning Applications
- Handwritten Text Recognition Techniques
- Information Systems top 5%
- Recommender Systems and Techniques
- Information Retrieval and Search Behavior
Papers in
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- Information Retrieval and Search Behavior 6
- Recommender Systems and Techniques 4
- Expert finding and Q&A systems 1
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- Multimodal Machine Learning Applications 6
- Co-authors
- Songfang Huang (9 shared papers)Fei Huang (7 shared papers)Junghoo John Cho (5 shared papers)Luo Si (5 shared papers)Thore Graepel (1 shared paper)Milad Shokouhi (1 shared paper)Michał Kosiński (1 shared paper)Chenliang Li (8 shared papers)
- Journals
- ACM Transactions on Information Systems (1 paper)ACM International Conference on Multimedia (ACM MM) (1 paper)International World Wide Web Conference (WWW) (2 papers)Proceedings - International Conference on Data Engineering (1 paper)IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bin Bi
23 papers receiving 609 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 270
- Information Systems 189
- Artificial Intelligence 182
- Statistical and Nonlinear Physics 57
- Health Informatics 6
Countries citing papers authored by Bin Bi
This map shows the geographic impact of Bin Bi'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 Bin Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Bi more than expected).
Fields of papers citing papers by Bin Bi
This network shows the impact of papers produced by Bin Bi. 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 Bin Bi. The network helps show where Bin Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Bi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 121 | |
| 2 | 2013 | 101 | |
| 3 | 2021 | 74 | |
| 4 | 2021 | 64 | |
| 5 | 2014 | 57 | |
| 6 | 2019 | 34 | |
| 7 | 2015 | 28 | |
| 8 | 2021 | 23 | |
| 9 | 2016 | 20 | |
| 10 | 2012 | 18 | |
| 11 | 2022 | 18 | |
| 12 | IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling. | 2019 | 14 |
| 13 | 2011 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 10 | |
| 16 | 2009 | 9 | |
| 17 | 2023 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2013 | 5 |
About Bin Bi
Bin Bi is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics and Computer Science Applications, having authored 23 papers that have together received 643 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Information Retrieval and Search Behavior (6 papers), Multimodal Machine Learning Applications (6 papers), Recommender Systems and Techniques (4 papers), Complex Network Analysis Techniques (3 papers), Natural Language Processing Techniques (3 papers), Expert finding and Q&A systems (1 paper) and Mobile Crowdsensing and Crowdsourcing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (270 citations), Information Systems (189 citations), Artificial Intelligence (182 citations), Statistical and Nonlinear Physics (57 citations) and Health Informatics (6 citations). Bin Bi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Songfang Huang, Fei Huang, Junghoo John Cho, Luo Si, Thore Graepel, Milad Shokouhi, Michał Kosiński, Chenliang Li, Ming Yan and Chenliang Li. Their work appears in journals such as ACM Transactions on Information Systems, ACM International Conference on Multimedia (ACM MM), International World Wide Web Conference (WWW), Proceedings - International Conference on Data Engineering and IEEE/CVF International Conference on Computer Vision (ICCV).
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.