Keping Bi
Impact in
- Information Systems top 10%
- Recommender Systems and Techniques
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
Papers in
-
- Topic Modeling 7
- Natural Language Processing Techniques 4
- Text and Document Classification Technologies 3
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- Information Retrieval and Search Behavior 5
- Web Data Mining and Analysis 3
- Recommender Systems and Techniques 3
- Co-authors
- W. Bruce Croft (4 shared papers)Qingyao Ai (3 shared papers)Yongfeng Zhang (1 shared paper)Xu Chen (1 shared paper)Aslı Çelikyılmaz (1 shared paper)Bruce Croft (1 shared paper)Rahul Jha (1 shared paper)Jiafeng Guo (13 shared papers)
- Journals
- ACM Transactions on Information Systems (2 papers)IEEE Transactions on Knowledge and Data Engineering (1 paper)Lecture notes in computer science (2 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Keping Bi
13 papers receiving 174 citations
Peers
Comparison fields: 5 of 30
- Information Systems 106
- Artificial Intelligence 127
- Computer Vision and Pattern Recognition 42
- Computer Science Applications 6
- Health Informatics 1
Countries citing papers authored by Keping Bi
This map shows the geographic impact of Keping 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 Keping Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keping Bi more than expected).
Fields of papers citing papers by Keping Bi
This network shows the impact of papers produced by Keping 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 Keping Bi. The network helps show where Keping Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Keping 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 95 | |
| 2 | 2019 | 44 | |
| 3 | 2021 | 14 | |
| 4 | 2012 | 6 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2019 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Keping Bi
Keping Bi is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Management Science and Operations Research, having authored 20 papers that have together received 184 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Information Retrieval and Search Behavior (5 papers), Natural Language Processing Techniques (4 papers), Web Data Mining and Analysis (3 papers), Recommender Systems and Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Information Systems (106 citations), Artificial Intelligence (127 citations), Computer Vision and Pattern Recognition (42 citations), Computer Science Applications (6 citations) and Health Informatics (1 citation). Keping Bi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include W. Bruce Croft, Qingyao Ai, Yongfeng Zhang, Xu Chen, Yongfeng Zhang, Aslı Çelikyılmaz, Bruce Croft, Rahul Jha, Jiafeng Guo and Xueqi Cheng. Their work appears in journals such as ACM Transactions on Information Systems, IEEE Transactions on Knowledge and Data Engineering, Lecture notes in computer science and arXiv (Cornell University).
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.