Bing Qin
Impact in
- Artificial Intelligence top 0.05%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Software top 1%
Papers in
-
- Topic Modeling 169
- Natural Language Processing Techniques 105
- Advanced Text Analysis Techniques 64
- Sentiment Analysis and Opinion Mining 63
- Text and Document Classification Technologies 27
- Advanced Graph Neural Networks 14
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- Multimodal Machine Learning Applications 30
- Co-authors
- Duyu Tang (26 shared papers)Ting Liu (46 shared papers)Xiaocheng Feng (54 shared papers)Ting Liu (11 shared papers)Ming Zhou (8 shared papers)Furu Wei (8 shared papers)Yanyan Zhao (44 shared papers)Zhangyin Feng (7 shared papers)
- Journals
- Frontiers of Computer Science (6 papers)IEEE Transactions on Knowledge and Data Engineering (5 papers)Science China Information Sciences (5 papers)International Journal of Machine Learning and Cybernetics (4 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Bing Qin
245 papers receiving 10.2k citations
Bing Qin's Hit Papers
Peers
Comparison fields: 5 of 177
- Artificial Intelligence 8.3k
- Software 630
- Information Systems 2.5k
- Health Informatics 92
- Signal Processing 624
Countries citing papers authored by Bing Qin
This map shows the geographic impact of Bing Qin'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 Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Qin more than expected).
Fields of papers citing papers by Bing Qin
This network shows the impact of papers produced by Bing Qin. 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 Qin. The network helps show where Bing Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Qin, 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 271 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CodeBERT: A Pre-Trained Model for Programming and Natural Languages Hit paper breakdown → | 2020 | 1554 |
| 2 | Document Modeling with Gated Recurrent Neural Network for Sentiment Classification Hit paper breakdown → | 2015 | 1143 |
| 3 | SemEval-2016 Task 5: Aspect Based Sentiment Analysis Hit paper breakdown → | 2016 | 941 |
| 4 | Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification Hit paper breakdown → | 2014 | 922 |
| 5 | Aspect Level Sentiment Classification with Deep Memory Network Hit paper breakdown → | 2016 | 773 |
| 6 | A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Hit paper breakdown → | 2024 | 595 |
| 7 | Effective LSTMs for Target-Dependent Sentiment Classification Hit paper breakdown → | 2016 | 297 |
| 8 | 2015 | 274 | |
| 9 | 2015 | 251 | |
| 10 | 2014 | 205 | |
| 11 | 2014 | 172 | |
| 12 | 2015 | 162 | |
| 13 | Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach | 2014 | 139 |
| 14 | 2017 | 126 | |
| 15 | 2016 | 117 | |
| 16 | 2010 | 109 | |
| 17 | User modeling with neural network for review rating prediction | 2015 | 101 |
| 18 | 2018 | 95 | |
| 19 | 2017 | 90 | |
| 20 | 2021 | 79 |
About Bing Qin
Bing Qin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Management Science and Operations Research, having authored 271 papers that have together received 10.5k indexed citations. Recurring topics across this work include Topic Modeling (169 papers), Natural Language Processing Techniques (105 papers), Advanced Text Analysis Techniques (64 papers), Sentiment Analysis and Opinion Mining (63 papers), Multimodal Machine Learning Applications (30 papers), Text and Document Classification Technologies (27 papers), Web Data Mining and Analysis (18 papers) and Advanced Graph Neural Networks (14 papers). The work is most often cited by research in Artificial Intelligence (8.3k citations), Software (630 citations), Information Systems (2.5k citations), Health Informatics (92 citations) and Signal Processing (624 citations). Bing Qin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Duyu Tang, Ting Liu, Xiaocheng Feng, Ting Liu, Ming Zhou, Furu Wei, Yanyan Zhao, Zhangyin Feng, Nan Yang and Ting Liu. Their work appears in journals such as Frontiers of Computer Science, IEEE Transactions on Knowledge and Data Engineering, Science China Information Sciences, International Journal of Machine Learning and Cybernetics and IEEE/ACM Transactions on Audio Speech and Language Processing.
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.