Feifei Kou

503 citations
38 papers · 313 · h-index 10

Impact in

Papers in

Feifei Kou

32 papers receiving 305 citations

Peers

Feifei Kou
Comparison fields: 5 of 62
  • Artificial Intelligence 201
  • Statistical and Nonlinear Physics 51
  • Computer Vision and Pattern Recognition 80
  • General Social Sciences 12
  • Information Systems 85
Replace Wang Gao with:
Wang Gao China
Tianchi Yang China
Tribikram Pradhan India
Emaad Manzoor United States
Soheila Molaei Iran
Wen Xiao Canada
Steven Van Canneyt Belgium
Sérgio Canuto Brazil
Haoruo Peng United States
Liang Jiang China
Feifei Kou relative to Wang Gao China Wang Gao's profile →
Citations per field
00.5×3.3×
Wang Gao · 1×
Citations per year

Countries citing papers authored by Feifei Kou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Feifei Kou Line = papers co-authored together Feifei Kou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201845
2 202132
3 201632
4 201728
5 202222
6 202217
7 201815
8 201915
9 201813
10 202012
11 20189
12 20198
13 20197
14 20207
15 20197
16 20256
17 20246
18 20245
19
SRTM: A Sparse RNN-Topic Model for Discovering Bursty Topics in Big Data of Social Networks.
20194
20 20214

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 38 papers that have together received 313 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Complex Network Analysis Techniques (10 papers), Advanced Graph Neural Networks (8 papers), Advanced Text Analysis Techniques (7 papers), Web Data Mining and Analysis (6 papers), Recommender Systems and Techniques (6 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (201 citations), Statistical and Nonlinear Physics (51 citations), Computer Vision and Pattern Recognition (80 citations), General Social Sciences (12 citations) and Information Systems (85 citations). Feifei Kou has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Junping Du, Meiyu Liang, Zhe Xue, Lei Shi, Haisheng Li, Dawei Wang, Xia Liu, Gang Cheng, Yawen Li and Jiannan Chen. Their work appears in journals such as Information Fusion, Neurocomputing, ACM Transactions on Intelligent Systems and Technology, Wireless Communications and Mobile Computing and Frontiers of Computer 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.

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