Feifei Kou
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
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- Complex Network Analysis Techniques
Papers in
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- Topic Modeling 8
- Advanced Graph Neural Networks 6
- Advanced Text Analysis Techniques 4
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- Recommender Systems and Techniques 5
- Web Data Mining and Analysis 5
- Co-authors
- Junping Du (16 shared papers)Meiyu Liang (10 shared papers)Lei Shi (10 shared papers)Zhe Xue (9 shared papers)Haisheng Li (4 shared papers)Dawei Wang (1 shared paper)Gang Cheng (1 shared paper)Xia Liu (1 shared paper)
- Journals
- Information Fusion (3 papers)Neurocomputing (3 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)Electronics (1 paper)Journal of Computational Science (1 paper)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Feifei Kou
24 papers receiving 254 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 173
- Statistical and Nonlinear Physics 44
- Computer Vision and Pattern Recognition 71
- Information Systems 76
- General Social Sciences 11
Countries citing papers authored by Feifei Kou
This map shows the geographic impact of Feifei Kou'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 Feifei Kou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Kou more than expected).
Fields of papers citing papers by Feifei Kou
This network shows the impact of papers produced by Feifei Kou. 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 Feifei Kou. The network helps show where Feifei Kou may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei Kou, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 37 | |
| 2 | 2021 | 29 | |
| 3 | 2017 | 26 | |
| 4 | 2016 | 24 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 15 | |
| 7 | 2018 | 15 | |
| 8 | 2019 | 14 | |
| 9 | 2020 | 12 | |
| 10 | 2018 | 12 | |
| 11 | 2018 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2019 | 7 | |
| 15 | SRTM: A Sparse RNN-Topic Model for Discovering Bursty Topics in Big Data of Social Networks. | 2019 | 4 |
| 16 | 2024 | 4 | |
| 17 | 2025 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2020 | 2 |
About Feifei Kou
Feifei Kou is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 31 papers that have together received 262 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Topic Modeling (8 papers), Advanced Graph Neural Networks (6 papers), Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Recommender Systems and Techniques (5 papers), Web Data Mining and Analysis (5 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (173 citations), Statistical and Nonlinear Physics (44 citations), Computer Vision and Pattern Recognition (71 citations), Information Systems (76 citations) and General Social Sciences (11 citations). Feifei Kou has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Junping Du, Meiyu Liang, Lei Shi, Zhe Xue, Haisheng Li, Dawei Wang, Gang Cheng, Xia Liu, Jiannan Chen and Xu Wang. Their work appears in journals such as Information Fusion, Neurocomputing, ACM Transactions on Intelligent Systems and Technology, Electronics and Journal of Computational Science.
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.