Shikun Feng
- Artificial Intelligence top 2%
- Topic Modeling 9
- Natural Language Processing Techniques 6
- Advanced Graph Neural Networks 5
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- Multimodal Machine Learning Applications 7
- Advanced Image and Video Retrieval Techniques 6
- Video Analysis and Summarization 3
- Signal Processing top 10%
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- Aquaculture disease management and microbiota 8
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- Aquaculture Nutrition and Growth 6
Shikun Feng
32 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 670
- Computer Vision and Pattern Recognition 392
- Health Informatics 9
- Signal Processing 70
- Computer Graphics and Computer-Aided Design 21
Countries citing papers authored by Shikun Feng
This map shows the geographic impact of Shikun Feng'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 Shikun Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shikun Feng more than expected).
Fields of papers citing papers by Shikun Feng
This network shows the impact of papers produced by Shikun Feng. 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 Shikun Feng. The network helps show where Shikun Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shikun Feng, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 13 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 25 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 33 | |
| 15 | 2022 | 13 | |
| 16 | 2020 | 8 | |
| 17 | 2019 | 13 | |
| 18 | 2014 | 21 | |
| 19 | 2012 | 46 | |
| 20 | 2009 | 2 |
About Shikun Feng
Shikun Feng is a scholar working on Aquatic Science, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Aquaculture disease management and microbiota (8 papers), Multimodal Machine Learning Applications (7 papers), Aquaculture Nutrition and Growth (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Natural Language Processing Techniques (6 papers), Advanced Graph Neural Networks (5 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Artificial Intelligence (670 citations), Computer Vision and Pattern Recognition (392 citations) and Health Informatics (9 citations). Shikun Feng has collaborated with scholars based in China, Singapore and Egypt. Frequent co-authors include Yu Sun, Haifeng Wang, Zhengjie Huang, Shuohuan Wang, Hao Tian, Hua Wu, Yukun Li, Yunsheng Shi, Hui Zhong and Wenjing Wang. Their work appears in journals such as Aquaculture Reports, Ceramics International, Journal of the Science of Food and Agriculture, Aquaculture Nutrition and Nature Machine Intelligence.
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.