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
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- Topic Modeling 56
- Natural Language Processing Techniques 31
- Text and Document Classification Technologies 25
- Sentiment Analysis and Opinion Mining 19
- Advanced Text Analysis Techniques 18
-
- Advanced Image and Video Retrieval Techniques 16
- Advanced Neural Network Applications 15
- Human Pose and Action Recognition 13
Min Zhang
222 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 169
- Artificial Intelligence 1.5k
- Software 126
- Information Systems 679
- Computer Vision and Pattern Recognition 476
- Signal Processing 156
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 46 | |
| 7 | THUSAM at NTCIR-11 IMine Task | 2014 | 1 |
| 8 | Overview of the NTCIR-11 IMine Task | 2014 | 33 |
| 9 | Overview of the NTCIR-9 INTENT Task | 2011 | 46 |
| 10 | Research on Network Virtualization and Virtual Network Mapping Algorithm | 2011 | 4 |
| 11 | Research for buffer overflow vulnerabilities based on multi-dimensional Fuzzing technology | 2011 | 1 |
| 12 | achieving efficient dynamic cryptographic access control in cloud storage | 2011 | 7 |
| 13 | Name Origin Recognition Using Maximum Entropy Model and Diverse Features | 2008 | 2 |
| 14 | Reconstruction of Traditional Chinese Cultural Sign in Product Design | 2007 | 0 |
| 15 | THUIR at TREC 2005: Enterprise Track. | 2005 | 23 |
| 16 | Improved Feature Selection and Redundance Computing - THUIR at TREC 2004 Novelty Track. | 2004 | 10 |
| 17 | THUIR at TREC 2004: Genomics Track * | 2004 | 1 |
| 18 | Using Normal PC to Index and Retrieval Terabyte Document - THUIR at TREC 2004 Terabyte Track. | 2004 | 1 |
| 19 | Incremental Learning for Profile Training in Adaptive Document Filtering. | 2002 | 5 |
| 20 | TREC-10 Web Track Experiments at MSRA. | 2001 | 16 |
About Min Zhang
Min Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computational Mathematics and Computer Networks and Communications, having authored 249 papers that have together received 2.9k indexed citations. Recurring topics across this work include Topic Modeling (56 papers), Natural Language Processing Techniques (31 papers), Text and Document Classification Technologies (25 papers), Sentiment Analysis and Opinion Mining (19 papers), Advanced Text Analysis Techniques (18 papers), Advanced Image and Video Retrieval Techniques (16 papers), Advanced Neural Network Applications (15 papers) and Human Pose and Action Recognition (13 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Software (126 citations), Information Systems (679 citations), Computer Vision and Pattern Recognition (476 citations) and Signal Processing (156 citations). Min Zhang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Guodong Zhou, Shaoping Ma, Yiqun Liu, Nathan Baddoo, Tracy Hall, Jie Zhang, Jian Su, Shoushan Li, Xingyao Ye and Teresa Wu. Their work appears in journals such as Applied Intelligence, Computational Intelligence and Neuroscience, Neural Processing Letters, Information Sciences and Scientific Reports.
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.