Zhen Hai
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Topic Modeling
- Information Systems top 5%
- Spam and Phishing Detection
- Web Data Mining and Analysis
Papers in
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- Sentiment Analysis and Opinion Mining 11
- Topic Modeling 8
- Advanced Text Analysis Techniques 6
- Text and Document Classification Technologies 4
- Advanced Graph Neural Networks 2
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- Spam and Phishing Detection 2
- Co-authors
- Kuiyu Chang (7 shared papers)Jung‐Jae Kim (3 shared papers)Gao Cong (7 shared papers)Christopher C. Yang (2 shared papers)Chunyan Miao (1 shared paper)Xiaoli Li (2 shared papers)Peilin Zhao (2 shared papers)Guangxia Li (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (3 papers)ACM Transactions on Intelligent Systems and Technology (1 paper)Patterns (1 paper)Lecture notes in computer science (1 paper)Information Technology Journal (1 paper)
- Partner nations
- SingaporeChinaCayman Islands
In The Last Decade
Zhen Hai
18 papers receiving 445 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 421
- Information Systems 163
- Computational Mathematics 2
- Management Science and Operations Research 25
- Signal Processing 19
Countries citing papers authored by Zhen Hai
This map shows the geographic impact of Zhen Hai'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 Zhen Hai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Hai more than expected).
Fields of papers citing papers by Zhen Hai
This network shows the impact of papers produced by Zhen Hai. 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 Zhen Hai. The network helps show where Zhen Hai may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhen Hai, 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 | 2011 | 131 | |
| 2 | 2014 | 103 | |
| 3 | 2017 | 52 | |
| 4 | 2012 | 50 | |
| 5 | 2016 | 46 | |
| 6 | 2014 | 21 | |
| 7 | 2015 | 16 | |
| 8 | 2020 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 7 | |
| 11 | 2023 | 7 | |
| 12 | 2010 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2021 | 4 | |
| 16 | Efficient multi-class selective sampling on graphs | 2016 | 3 |
| 17 | 2023 | 2 | |
| 18 | A Statistical NLP Approach for Feature and Sentiment Identification from Chinese Reviews | 2010 | 2 |
| 19 | 2024 | 0 |
About Zhen Hai
Zhen Hai is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Sociology and Political Science, having authored 19 papers that have together received 475 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (11 papers), Topic Modeling (8 papers), Advanced Text Analysis Techniques (6 papers), Text and Document Classification Technologies (4 papers), Multimodal Machine Learning Applications (3 papers), Spam and Phishing Detection (2 papers), Data Quality and Management (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Artificial Intelligence (421 citations), Information Systems (163 citations), Computational Mathematics (2 citations), Management Science and Operations Research (25 citations) and Signal Processing (19 citations). Zhen Hai has collaborated with scholars based in Singapore, China and Cayman Islands. Frequent co-authors include Kuiyu Chang, Jung‐Jae Kim, Gao Cong, Christopher C. Yang, Chunyan Miao, Xiaoli Li, Peilin Zhao, Guangxia Li, Peng Yang and Wenting Liu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Intelligent Systems and Technology, Patterns, Lecture notes in computer science and Information Technology Journal.
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.