Bing Liu
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 2%
- Media Technology top 1%
- Molecular Biology
- Topics
- Domain Adaptation and Few-Shot Learning (34 papers)Advanced Image and Video Retrieval Techniques (22 papers)Topic Modeling (20 papers)
- Journals
- Journal of Agricultural and Food ChemistryBiochemical JournalIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Bing Liu
140 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 1.9k
- Computer Vision and Pattern Recognition 944
- Information Systems 408
- Media Technology 287
- Molecular Biology 150
Countries citing papers authored by Bing Liu
This map shows the geographic impact of Bing Liu'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 Bing Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Liu more than expected).
Fields of papers citing papers by Bing Liu
This network shows the impact of papers produced by Bing Liu. 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 Bing Liu. The network helps show where Bing Liu may publish in the future.
Co-authorship network of co-authors of Bing Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Bing Liu. A scholar is included among the top collaborators of Bing Liu 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 Bing Liu. Bing Liu 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 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 13 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 14 | |
| 10 | 10 | |
| 11 | 16 | |
| 12 | 22 | |
| 13 | 146 | |
| 14 | 30 | |
| 15 | Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Fillingbreakdown → | 378 |
| 16 | Genesis and geological significances of Neoproterozoic granitoids in the North Qinling terrain,SW Henan,China | 25 |
| 17 | Design and implementation of UAV original images quick mosaicing system | 1 |
| 18 | Correlation Between Tongbai and Western Dabie Orogenic Belts | 2 |
| 19 | Advances in Web Mining and Web Usage Analysis: 6th International Workshop on Knowledge Discovery on the Web, WEBKDD 2004Seattle, WA, USA, August 22-25, ... Papers (Lecture Notes in Computer Science) | 1 |
| 20 | Opinion extraction and summarization on the web | 83 |
About Bing Liu
Bing Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 154 papers that have together received 3.2k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (34 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Topic Modeling (20 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Computer Vision and Pattern Recognition (944 citations) and Media Technology (287 citations). Bing Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ian Lane, Yong Zhou, Jiaqi Zhao, Philip S. Yu, Xiaoli Li, Wee Sun Lee, Rui Yao, Minqing Hu, Hu Xu and Lei Shu. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Biochemical Journal and IEEE Transactions on Geoscience and Remote Sensing.
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.