Ming Zhou
Impact in
- Artificial Intelligence top 0.02%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Speech and dialogue systems
- Software top 0.5%
Papers in
-
- Topic Modeling 179
- Natural Language Processing Techniques 149
- Advanced Text Analysis Techniques 25
- Speech and dialogue systems 19
- Semantic Web and Ontologies 19
- Text and Document Classification Technologies 19
- Sentiment Analysis and Opinion Mining 16
-
- Multimodal Machine Learning Applications 27
- Co-authors
- Furu Wei (55 shared papers)Duyu Tang (26 shared papers)Nan Duan (52 shared papers)Nan Yang (14 shared papers)Bing Qin (7 shared papers)Ting Liu (5 shared papers)Xiaohua Liu (17 shared papers)Daya Guo (7 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (7 papers)Computational Linguistics (3 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)Knowledge-Based Systems (2 papers)Engineering (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Zhou
207 papers receiving 12.4k citations
Ming Zhou's Hit Papers
Peers
Comparison fields: 5 of 140
- Artificial Intelligence 10.8k
- Software 812
- Information Systems 3.7k
- Computer Vision and Pattern Recognition 1.7k
- Signal Processing 791
Countries citing papers authored by Ming Zhou
This map shows the geographic impact of Ming Zhou'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 Ming Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Zhou more than expected).
Fields of papers citing papers by Ming Zhou
This network shows the impact of papers produced by Ming Zhou. 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 Ming Zhou. The network helps show where Ming Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Zhou, 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 213 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 | Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification Hit paper breakdown → | 2014 | 785 |
| 3 | Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification Hit paper breakdown → | 2014 | 715 |
| 4 | Target-dependent Twitter Sentiment Classification Hit paper breakdown → | 2011 | 580 |
| 5 | Gated Self-Matching Networks for Reading Comprehension and Question Answering Hit paper breakdown → | 2017 | 360 |
| 6 | UniXcoder: Unified Cross-Modal Pre-training for Code Representation Hit paper breakdown → | 2022 | 332 |
| 7 | 2017 | 283 | |
| 8 | 2015 | 274 | |
| 9 | GraphCodeBERT: Pre-training Code Representations with Data Flow Hit paper breakdown → | 2021 | 268 |
| 10 | Recognizing Named Entities in Tweets | 2011 | 258 |
| 11 | Low-Quality Product Review Detection in Opinion Summarization | 2007 | 251 |
| 12 | MIND: A Large-scale Dataset for News Recommendation Hit paper breakdown → | 2020 | 249 |
| 13 | 2017 | 224 | |
| 14 | 2015 | 212 | |
| 15 | 2018 | 207 | |
| 16 | 2020 | 203 | |
| 17 | 2017 | 199 | |
| 18 | 2017 | 174 | |
| 19 | 2020 | 171 | |
| 20 | 2017 | 165 |
About Ming Zhou
Ming Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research and Molecular Biology, having authored 213 papers that have together received 13.1k indexed citations. Recurring topics across this work include Topic Modeling (179 papers), Natural Language Processing Techniques (149 papers), Multimodal Machine Learning Applications (27 papers), Advanced Text Analysis Techniques (25 papers), Speech and dialogue systems (19 papers), Semantic Web and Ontologies (19 papers), Text and Document Classification Technologies (19 papers) and Sentiment Analysis and Opinion Mining (16 papers). The work is most often cited by research in Artificial Intelligence (10.8k citations), Software (812 citations), Information Systems (3.7k citations), Computer Vision and Pattern Recognition (1.7k citations) and Signal Processing (791 citations). Ming Zhou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Furu Wei, Duyu Tang, Nan Duan, Nan Yang, Bing Qin, Ting Liu, Xiaohua Liu, Daya Guo, Shujie Liu and Daxin Jiang. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Computational Linguistics, IEEE Transactions on Knowledge and Data Engineering, Knowledge-Based Systems and Engineering.
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.