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 41
- Natural Language Processing Techniques 22
- Sentiment Analysis and Opinion Mining 20
- Advanced Text Analysis Techniques 17
- Text and Document Classification Technologies 5
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- Biomedical Text Mining and Ontologies 9
- 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)Ruimin Wang (1 shared paper)Yue Zhang (1 shared paper)Hongbin Zhang (8 shared papers)
In The Last Decade
Yafeng Ren
65 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 1.4k
- Information Systems 458
- Signal Processing 117
- Management Science and Operations Research 102
- Health Information Management 35
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 | 174 | |
| 2 | 2016 | 102 | |
| 3 | 2016 | 99 | |
| 4 | 2017 | 92 | |
| 5 | 2020 | 88 | |
| 6 | 2018 | 61 | |
| 7 | 2020 | 59 | |
| 8 | 2014 | 59 | |
| 9 | 2020 | 59 | |
| 10 | 2019 | 57 | |
| 11 | 2016 | 55 | |
| 12 | Deceptive Opinion Spam Detection Using Neural Network | 2016 | 54 |
| 13 | 2018 | 51 | |
| 14 | 2021 | 49 | |
| 15 | 2019 | 49 | |
| 16 | 2021 | 43 | |
| 17 | 2021 | 38 | |
| 18 | 2020 | 37 | |
| 19 | 2020 | 37 | |
| 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 (41 papers), Natural Language Processing Techniques (22 papers), Sentiment Analysis and Opinion Mining (20 papers), Advanced Text Analysis Techniques (17 papers), Biomedical Text Mining and Ontologies (9 papers), Spam and Phishing Detection (8 papers), Text and Document Classification Technologies (5 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Information Systems (458 citations), Signal Processing (117 citations), Management Science and Operations Research (102 citations) and Health Information Management (35 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, Ruimin Wang, Yue Zhang, Hongbin Zhang, Shengqiong Wu and Fei Li. Their work appears in journals such as Information Sciences, Information Processing & Management, IEEE Access, Neurocomputing and IEEE/ACM Transactions on Audio Speech and Language Processing.
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.