2026 Bing Liu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	119	149	144	87	84	469	93275

Research.com Recognitions

2026 - Research.com Computer Science in United States Leader Award
2025 - Research.com Computer Science in United States Leader Award
2023 - Research.com Computer Science in China Leader Award
2022 - Research.com Computer Science in United States Leader Award
2016 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to data mining and development of widely used sentiment analysis, opinion spam detection, and Web mining algorithms.
2015 - ACM Fellow For contributions to knowledge discovery and data mining, opinion mining, and sentiment analysis.
2014 - IEEE Fellow For contributions to data mining

Overview

Bing Liu is affiliated with the University of Illinois at Chicago in the United States. Their research primarily focuses on Computer Science, with a strong emphasis on Artificial Intelligence, Information Systems, and Computer Vision and Pattern Recognition. The scientist's work also spans to Sociology and Political Science as well as Signal Processing.

The main topics covered in Bing Liu's research include:

Topic Modeling
Sentiment Analysis and Opinion Mining
Natural Language Processing Techniques
Advanced Text Analysis Techniques
Spam and Phishing Detection
Speech and Dialogue Systems
Text and Document Classification Technologies

The scientist has published extensively in various venues, including:

arXiv (Cornell University)
Proceedings of the International AAAI Conference on Web and Social Media
SSRN Electronic Journal
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Knowledge and Data Engineering

Some of the recent publications featuring Bing Liu's work are:

"What Yelp Fake Review Filter Might Be Doing?" (2021), Proceedings of the International AAAI Conference on Web and Social Media
"Exploiting Burstiness in Reviews for Review Spammer Detection" (2021), Proceedings of the International AAAI Conference on Web and Social Media
"Analyzing and Detecting Opinion Spam on a Large-scale Dataset via Temporal and Spatial Patterns" (2021), Proceedings of the International AAAI Conference on Web and Social Media
"Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP" (2022), Proceedings of the AAAI Conference on Artificial Intelligence
"Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning" (2021), arXiv (Cornell University)

Bing Liu is frequently collaborating with other researchers, including Sahisnu Mazumder, Lei Shu, Hu Xu, Tieyun Qian, and Arjun Mukherjee.

The scientist has also contributed to book publications, with a title published by Morgan & Claypool Publishers:

"Lifelong and Continual Learning Dialogue Systems" (2024)

Among their recognitions, Bing Liu was named an ACM Fellow in 2015 for contributions to knowledge discovery and data mining, opinion mining, and sentiment analysis. They were also designated an IEEE Fellow in 2014 for contributions to data mining.

Best Publications

Mining and summarizing customer reviews

Minqing Hu;Bing Liu

10229
Citations
Top 10 algorithms in data mining

Xindong Wu;Vipin Kumar;J. Ross Quinlan;Joydeep Ghosh

7500
Citations
Integrating classification and association rule mining

Bing Liu;Wynne Hsu;Yiming Ma

3573
Citations
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

Bing Liu

3503
Citations
Opinion observer: analyzing and comparing opinions on the Web

Bing Liu;Minqing Hu;Junsheng Cheng

2534
Citations
Mining opinion features in customer reviews

Minqing Hu;Bing Liu

2131
Citations
Opinion spam and analysis

Nitin Jindal;Bing Liu

1995
Citations
Deep learning for sentiment analysis: A survey

Lei Zhang;Shuai Wang;Bing Liu

1957
Citations
A Survey of Opinion Mining and Sentiment Analysis

Bing Liu;Lei Zhang

1877
Citations
A holistic lexicon-based approach to opinion mining

Xiaowen Ding;Bing Liu;Philip S. Yu

1814
Citations
Sentiment Analysis and Subjectivity

Bing Liu

1691
Citations
Opinion word expansion and target extraction through double propagation

Guang Qiu;Bing Liu;Jiajun Bu;Chun Chen

1348
Citations
Mining association rules with multiple minimum supports

Bing Liu;Wynne Hsu;Yiming Ma

1093
Citations
Sentiment Analysis and Opinion Mining.

Lei Zhang;Bing Liu

984
Citations
Detecting product review spammers using rating behaviors

Ee-Peng Lim;Viet-An Nguyen;Nitin Jindal;Bing Liu

972
Citations
Spotting fake reviewer groups in consumer reviews

Arjun Mukherjee;Bing Liu;Natalie Glance

970
Citations
Sentiment Analysis: Mining Opinions, Sentiments, and Emotions

Bing Liu

950
Citations
Building text classifiers using positive and unlabeled examples

B. Liu;Y. Dai;X. Li;W.S. Lee

889
Citations
Mining data records in Web pages

Bing Liu;Robert Grossman;Yanhong Zhai

821
Citations
Web data extraction based on partial tree alignment

Yanhong Zhai;Bing Liu

808
Citations
GMC: Graph-Based Multi-View Clustering

Hao Wang;Yan Yang;Bing Liu

802
Citations
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Second Edition

Bing Liu

151
Citations

Frequent Co-Authors

Philip S. Yu University of Illinois at Chicago

Lei Shu Nanjing Agricultural University

Wynne Hsu National University of Singapore

Xiaoli Li Singapore University of Technology and Design

Ivet Bahar University of Pittsburgh

P. S. Thiagarajan Harvard University

Meichun Hsu Hewlett Packard Enterprise (United States)

Wee Sun Lee National University of Singapore

Rui Yan Renmin University of China

Edmund M. Clarke Carnegie Mellon University

External Links

Wikipedia of Bing Liu Personal website of Bing Liu Google Scholar page

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