Kongfa Hu
Impact in
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- Traditional Chinese Medicine Studies
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- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
Papers in
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- Advanced Database Systems and Queries 10
- Energy Efficient Wireless Sensor Networks 3
- Co-authors
- Xichen Yang (7 shared papers)Jie Ding (1 shared paper)Xiaobin Zhang (1 shared paper)Xinshan Zhu (1 shared paper)Jiayu Lu (1 shared paper)Ling Chen (1 shared paper)Ling Chen (8 shared papers)Hui Yan (4 shared papers)
In The Last Decade
Kongfa Hu
46 papers receiving 227 citations
Peers
Comparison fields: 5 of 70
- Complementary and alternative medicine 20
- Computer Vision and Pattern Recognition 54
- Health Informatics 3
- Computer Networks and Communications 46
- Signal Processing 19
Countries citing papers authored by Kongfa Hu
This map shows the geographic impact of Kongfa Hu'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 Kongfa Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kongfa Hu more than expected).
Fields of papers citing papers by Kongfa Hu
This network shows the impact of papers produced by Kongfa Hu. 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 Kongfa Hu. The network helps show where Kongfa Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kongfa Hu, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 42 | |
| 2 | 2021 | 20 | |
| 3 | 2020 | 18 | |
| 4 | 2013 | 17 | |
| 5 | 2023 | 12 | |
| 6 | 2018 | 10 | |
| 7 | 2023 | 10 | |
| 8 | 2020 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2018 | 6 | |
| 11 | 2025 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2007 | 4 | |
| 17 | 2007 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2005 | 4 | |
| 20 | 2014 | 3 |
About Kongfa Hu
Kongfa Hu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Molecular Biology and Signal Processing, having authored 59 papers that have together received 240 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (10 papers), Data Mining Algorithms and Applications (10 papers), Data Management and Algorithms (8 papers), Traditional Chinese Medicine Studies (7 papers), Biomedical Text Mining and Ontologies (6 papers), Rough Sets and Fuzzy Logic (4 papers), Web Data Mining and Analysis (3 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Complementary and alternative medicine (20 citations), Computer Vision and Pattern Recognition (54 citations), Health Informatics (3 citations), Computer Networks and Communications (46 citations) and Signal Processing (19 citations). Kongfa Hu has collaborated with scholars based in China and Japan. Frequent co-authors include Xichen Yang, Jie Ding, Xiaobin Zhang, Xinshan Zhu, Jiayu Lu, Ling Chen, Ling Chen, Hui Yan, Long Li and Jin‐Ao Duan. Their work appears in journals such as Foods, Nucleic Acids Research, BMC Medical Informatics and Decision Making, IEEE Journal of Biomedical and Health Informatics and Journal of Affective Disorders.
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.