Yafeng Ren
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Information Systems top 2%
- Spam and Phishing Detection
Papers in
-
- Topic Modeling 43
- Natural Language Processing Techniques 23
- Sentiment Analysis and Opinion Mining 20
- Advanced Text Analysis Techniques 18
- Text and Document Classification Technologies 5
- Text Readability and Simplification 4
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- Biomedical Text Mining and Ontologies 10
- Co-authors
- Donghong Ji (25 shared papers)Donghong Ji (23 shared papers)Hao Fei (26 shared papers)Yue Zhang (6 shared papers)Meishan Zhang (6 shared papers)Fei Hao (3 shared papers)Ruimin Wang (1 shared paper)Yue Zhang (1 shared paper)
In The Last Decade
Yafeng Ren
65 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 1.5k
- Information Systems 450
- Signal Processing 114
- Health Information Management 44
- Health Informatics 11
Countries citing papers authored by Yafeng Ren
This map shows the geographic impact of Yafeng Ren'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 Yafeng Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yafeng Ren more than expected).
Fields of papers citing papers by Yafeng Ren
This network shows the impact of papers produced by Yafeng Ren. 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 Yafeng Ren. The network helps show where Yafeng Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Yafeng Ren, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 173 | |
| 2 | 2016 | 102 | |
| 3 | 2016 | 99 | |
| 4 | 2017 | 88 | |
| 5 | 2020 | 86 | |
| 6 | 2018 | 59 | |
| 7 | 2014 | 58 | |
| 8 | 2020 | 57 | |
| 9 | 2019 | 56 | |
| 10 | 2020 | 56 | |
| 11 | 2016 | 55 | |
| 12 | Deceptive Opinion Spam Detection Using Neural Network | 2016 | 54 |
| 13 | 2018 | 49 | |
| 14 | 2019 | 48 | |
| 15 | 2021 | 48 | |
| 16 | 2021 | 43 | |
| 17 | 2021 | 38 | |
| 18 | 2020 | 36 | |
| 19 | 2020 | 36 | |
| 20 | 2019 | 35 |
About Yafeng Ren
Yafeng Ren is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (43 papers), Natural Language Processing Techniques (23 papers), Sentiment Analysis and Opinion Mining (20 papers), Advanced Text Analysis Techniques (18 papers), Biomedical Text Mining and Ontologies (10 papers), Spam and Phishing Detection (8 papers), Text and Document Classification Technologies (5 papers) and Text Readability and Simplification (4 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Information Systems (450 citations), Signal Processing (114 citations), Health Information Management (44 citations) and Health Informatics (11 citations). Yafeng Ren has collaborated with scholars based in China and Singapore. Frequent co-authors include Donghong Ji, Donghong Ji, Hao Fei, Yue Zhang, Meishan Zhang, Fei Hao, Ruimin Wang, Yue Zhang, Hongbin Zhang and Shengqiong Wu. Their work appears in journals such as Information Sciences, Information Processing & Management, IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing and Neurocomputing.
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.