Min Zhang
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Software top 5%
Papers in
-
- Topic Modeling 56
- Natural Language Processing Techniques 33
- Text and Document Classification Technologies 24
- Sentiment Analysis and Opinion Mining 18
- Advanced Text Analysis Techniques 18
-
- Advanced Neural Network Applications 14
- Advanced Image and Video Retrieval Techniques 13
- Co-authors
- Guodong Zhou (12 shared papers)Shaoping Ma (27 shared papers)Yiqun Liu (24 shared papers)Tracy Hall (1 shared paper)Nathan Baddoo (1 shared paper)Jie Zhang (1 shared paper)Jian Su (1 shared paper)Shoushan Li (8 shared papers)
- Journals
- Applied Intelligence (3 papers)Information Sciences (3 papers)Scientific Reports (3 papers)ACM Transactions on Information Systems (2 papers)Computer Communications (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Min Zhang
219 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 166
- Artificial Intelligence 1.5k
- Software 126
- Information Systems 687
- Computer Vision and Pattern Recognition 469
- Signal Processing 158
Countries citing papers authored by Min Zhang
This map shows the geographic impact of Min Zhang'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 Min Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Zhang more than expected).
Fields of papers citing papers by Min Zhang
This network shows the impact of papers produced by Min Zhang. 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 Min Zhang. The network helps show where Min Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Zhang, 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 241 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 174 | |
| 2 | 2010 | 142 | |
| 3 | 2017 | 94 | |
| 4 | 2021 | 69 | |
| 5 | 2018 | 67 | |
| 6 | 2014 | 62 | |
| 7 | 2008 | 59 | |
| 8 | 2014 | 59 | |
| 9 | 2018 | 58 | |
| 10 | 2023 | 57 | |
| 11 | 2011 | 56 | |
| 12 | 2015 | 53 | |
| 13 | 2018 | 51 | |
| 14 | 2022 | 50 | |
| 15 | 2015 | 49 | |
| 16 | 2019 | 48 | |
| 17 | Overview of the NTCIR-9 INTENT Task | 2011 | 46 |
| 18 | 2021 | 46 | |
| 19 | 2020 | 41 | |
| 20 | 2022 | 40 |
About Min Zhang
Min Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 241 papers that have together received 2.9k indexed citations. Recurring topics across this work include Topic Modeling (56 papers), Natural Language Processing Techniques (33 papers), Text and Document Classification Technologies (24 papers), Sentiment Analysis and Opinion Mining (18 papers), Advanced Text Analysis Techniques (18 papers), Advanced Neural Network Applications (14 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Web Data Mining and Analysis (12 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Software (126 citations), Information Systems (687 citations), Computer Vision and Pattern Recognition (469 citations) and Signal Processing (158 citations). Min Zhang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Guodong Zhou, Shaoping Ma, Yiqun Liu, Tracy Hall, Nathan Baddoo, Jie Zhang, Jian Su, Shoushan Li, Xingyao Ye and Teresa Wu. Their work appears in journals such as Applied Intelligence, Information Sciences, Scientific Reports, ACM Transactions on Information Systems and Computer Communications.
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.