Bing Liu
About
In The Last Decade
Bing Liu
222 papers receiving 29.1k citations
Hit Papers
Peers
Comparison fields: 5 of 214
- Artificial Intelligence 23.5k
- Information Systems 10.8k
- Sociology and Political Science 4.0k
- Computer Vision and Pattern Recognition 2.6k
- Computer Networks and Communications 2.0k
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 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 17 | |
| 6 | BNS: Building Network Structures Dynamically for Continual Learning | 16 |
| 7 | Goal Summarization for Human-Human Health Coaching Dialogues | 3 |
| 8 | 69 | |
| 9 | 53 | |
| 10 | 22 | |
| 11 | Automated rule selection for aspect extraction in opinion mining | 79 |
| 12 | Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data | 100 |
| 13 | Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining | 1 |
| 14 | Sentiment Analysis and Opinion Mining breakdown → | 1000 |
| 15 | Distributional Similarity vs. PU Learning for Entity Set Expansion | 12 |
| 16 | Resolving Object and Attribute Coreference in Opinion Mining | 24 |
| 17 | Proceedings of the Third International Conference on Web Search and Web Data Mining, WSDM 2010, New York, NY, USA, February 4-6, 2010 | 4 |
| 18 | 1 | |
| 19 | Expanding domain sentiment lexicon through double propagation | 266 |
| 20 | Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery | 6 |
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.