S TAN
Impact in
- Artificial Intelligence top 2%
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Imbalanced Data Classification Techniques
- Information Systems top 5%
- Spam and Phishing Detection
- Web Data Mining and Analysis
Papers in
-
- Text and Document Classification Technologies 5
- Sentiment Analysis and Opinion Mining 1
- Privacy-Preserving Technologies in Data 1
- Adversarial Robustness in Machine Learning 1
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- Spam and Phishing Detection 3
- Web Data Mining and Analysis 2
- Co-authors
- Jianyun Zhang (1 shared paper)Long Li (1 shared paper)Tianlong Gu (2 shared papers)Yuanfeng Liu (1 shared paper)Xiaoli Liu (1 shared paper)
- Journals
- Expert Systems with Applications (4 papers)IEEE Transactions on Knowledge and Data Engineering (1 paper)IEEE Transactions on Industrial Informatics (1 paper)
- Partner nations
- China
In The Last Decade
S TAN
7 papers receiving 865 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 764
- Information Systems 283
- Computer Vision and Pattern Recognition 116
- Signal Processing 41
- Management Science and Operations Research 36
Countries citing papers authored by S TAN
This map shows the geographic impact of S TAN'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 S TAN with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S TAN more than expected).
Fields of papers citing papers by S TAN
This network shows the impact of papers produced by S TAN. 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 S TAN. The network helps show where S TAN may publish in the future.
Co-authors
The 5 scholars most cited alongside S TAN, 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 | 2007 | 352 | |
| 2 | 2005 | 287 | |
| 3 | 2005 | 228 | |
| 4 | 2007 | 54 | |
| 5 | 2023 | 9 | |
| 6 | 2006 | 6 | |
| 7 | 2025 | 1 |
About S TAN
S TAN is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 7 papers that have together received 937 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (5 papers), Spam and Phishing Detection (3 papers), Web Data Mining and Analysis (2 papers), Genomics and Phylogenetic Studies (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Face and Expression Recognition (1 paper), Privacy-Preserving Technologies in Data (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Artificial Intelligence (764 citations), Information Systems (283 citations), Computer Vision and Pattern Recognition (116 citations), Signal Processing (41 citations) and Management Science and Operations Research (36 citations). S TAN has collaborated with scholars based in China. Frequent co-authors include Jianyun Zhang, Long Li, Tianlong Gu, Yuanfeng Liu and Xiaoli Liu. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Industrial Informatics.
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.