Duyu Tang
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 0.5%
- Software Testing and Debugging Techniques
Papers in
-
- Topic Modeling 53
- Natural Language Processing Techniques 31
- Sentiment Analysis and Opinion Mining 18
- Advanced Text Analysis Techniques 9
- Speech and dialogue systems 4
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- Multimodal Machine Learning Applications 11
- Co-authors
- Bing Qin (23 shared papers)Ting Liu (10 shared papers)Ming Zhou (26 shared papers)Furu Wei (7 shared papers)Ting Liu (4 shared papers)Nan Duan (29 shared papers)Xiaocheng Feng (11 shared papers)Daxin Jiang (13 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)Neurocomputing (2 papers)Multimedia Tools and Applications (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Duyu Tang
58 papers receiving 7.7k citations
Duyu Tang's Hit Papers
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 6.3k
- Software 685
- Information Systems 2.2k
- Signal Processing 578
- Computer Vision and Pattern Recognition 606
Countries citing papers authored by Duyu Tang
This map shows the geographic impact of Duyu Tang'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 Duyu Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duyu Tang more than expected).
Fields of papers citing papers by Duyu Tang
This network shows the impact of papers produced by Duyu Tang. 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 Duyu Tang. The network helps show where Duyu Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Duyu Tang, 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 59 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 | 1459 |
| 2 | Document Modeling with Gated Recurrent Neural Network for Sentiment Classification Hit paper breakdown → | 2015 | 959 |
| 3 | Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification Hit paper breakdown → | 2014 | 785 |
| 4 | Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification Hit paper breakdown → | 2014 | 715 |
| 5 | Aspect Level Sentiment Classification with Deep Memory Network Hit paper breakdown → | 2016 | 684 |
| 6 | scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data Hit paper breakdown → | 2022 | 276 |
| 7 | GraphCodeBERT: Pre-training Code Representations with Data Flow Hit paper breakdown → | 2021 | 268 |
| 8 | Effective LSTMs for Target-Dependent Sentiment Classification | 2016 | 248 |
| 9 | 2015 | 228 | |
| 10 | K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters Hit paper breakdown → | 2021 | 225 |
| 11 | 2015 | 212 | |
| 12 | 2014 | 179 | |
| 13 | 2017 | 165 | |
| 14 | 2015 | 135 | |
| 15 | 2021 | 129 | |
| 16 | Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach | 2014 | 122 |
| 17 | 2020 | 117 | |
| 18 | 2020 | 101 | |
| 19 | 2016 | 101 | |
| 20 | Modeling mention, context and entity with neural networks for entity disambiguation | 2015 | 91 |
About Duyu Tang
Duyu Tang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Sociology and Political Science and Management Science and Operations Research, having authored 59 papers that have together received 8.0k indexed citations. Recurring topics across this work include Topic Modeling (53 papers), Natural Language Processing Techniques (31 papers), Sentiment Analysis and Opinion Mining (18 papers), Multimodal Machine Learning Applications (11 papers), Advanced Text Analysis Techniques (9 papers), Speech and dialogue systems (4 papers), Web Data Mining and Analysis (4 papers) and Misinformation and Its Impacts (4 papers). The work is most often cited by research in Artificial Intelligence (6.3k citations), Software (685 citations), Information Systems (2.2k citations), Signal Processing (578 citations) and Computer Vision and Pattern Recognition (606 citations). Duyu Tang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bing Qin, Ting Liu, Ming Zhou, Furu Wei, Ting Liu, Nan Duan, Xiaocheng Feng, Daxin Jiang, Daya Guo and Nan Yang. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, IEEE Transactions on Knowledge and Data Engineering, Neurocomputing and Multimedia Tools and Applications.
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.