Ming Zhou
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text Readability and Simplification
- Speech Recognition and Synthesis
- Text and Document Classification Technologies
-
- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 43
- Topic Modeling 42
- Text Readability and Simplification 7
- Speech Recognition and Synthesis 7
- Text and Document Classification Technologies 5
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- Multimodal Machine Learning Applications 11
- Co-authors
- Furu Wei (8 shared papers)Dongdong Zhang (20 shared papers)Mu Li (8 shared papers)Shujie Liu (12 shared papers)Mu Li (10 shared papers)Shuangzhi Wu (6 shared papers)Duyu Tang (2 shared papers)Zhirui Zhang (6 shared papers)
- Journals
- Computational Intelligence and Neuroscience (2 papers)Multimedia Tools and Applications (2 papers)CSEE Journal of Power and Energy Systems (2 papers)Risk Hazards & Crisis in Public Policy (1 paper)Journal of Rural Studies (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Zhou
111 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 1.5k
- Computer Vision and Pattern Recognition 439
- Management of Technology and Innovation 89
- Management Science and Operations Research 136
- Signal Processing 111
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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 179 | |
| 2 | 2015 | 144 | |
| 3 | 1998 | 89 | |
| 4 | 2018 | 88 | |
| 5 | 2018 | 79 | |
| 6 | Improving Query Spelling Correction Using Web Search Results | 2007 | 64 |
| 7 | A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation | 2007 | 62 |
| 8 | 2018 | 58 | |
| 9 | 2017 | 55 | |
| 10 | Combining Multiple Resources to Improve SMT-based Paraphrasing Model | 2008 | 50 |
| 11 | 2020 | 50 | |
| 12 | 2019 | 49 | |
| 13 | 2020 | 46 | |
| 14 | Mean Field Multi-Agent Reinforcement Learning | 2018 | 45 |
| 15 | Cross-Lingual Mixture Model for Sentiment Classification | 2012 | 45 |
| 16 | 2018 | 45 | |
| 17 | 2019 | 40 | |
| 18 | 2000 | 37 | |
| 19 | 2022 | 35 | |
| 20 | 2019 | 34 |
About Ming Zhou
Ming Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems and Management Science and Operations Research, having authored 119 papers that have together received 2.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (43 papers), Topic Modeling (42 papers), Multimodal Machine Learning Applications (11 papers), Text Readability and Simplification (7 papers), Speech Recognition and Synthesis (7 papers), Smart Grid and Power Systems (5 papers), Text and Document Classification Technologies (5 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computer Vision and Pattern Recognition (439 citations), Management of Technology and Innovation (89 citations), Management Science and Operations Research (136 citations) and Signal Processing (111 citations). Ming Zhou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Furu Wei, Dongdong Zhang, Mu Li, Shujie Liu, Mu Li, Shuangzhi Wu, Duyu Tang, Zhirui Zhang, Ting Liu and Bing Qin. Their work appears in journals such as Computational Intelligence and Neuroscience, Multimedia Tools and Applications, CSEE Journal of Power and Energy Systems, Risk Hazards & Crisis in Public Policy and Journal of Rural Studies.
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.