Kang Fu
- Mechanical Engineering
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Civil and Structural Engineering
- Biomedical Engineering
- Co-authors
- James T. P. YaoYunlong ZhouWen‐Feng LinZhongbin SuChunsheng LinJianjun ZhouGuangtao ZhaiZhenyu Liu
- Topics
- Image and Video Quality Assessment (3 papers)Image Enhancement Techniques (3 papers)Advanced Image Processing Techniques (3 papers)
- Journals
- Energy Conversion and ManagementJournal of Magnetism and Magnetic MaterialsIEEE Internet of Things Journal
- Partner nations
- ChinaNetherlandsUnited Kingdom
In The Last Decade
Kang Fu
21 papers receiving 181 citations
Peers
Comparison fields: 5 of 70
- Mechanical Engineering 35
- Computer Vision and Pattern Recognition 28
- Electrical and Electronic Engineering 25
- Civil and Structural Engineering 24
- Biomedical Engineering 24
Countries citing papers authored by Kang Fu
This map shows the geographic impact of Kang Fu'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 Kang Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang Fu more than expected).
Fields of papers citing papers by Kang Fu
This network shows the impact of papers produced by Kang Fu. 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 Kang Fu. The network helps show where Kang Fu may publish in the future.
Co-authorship network of co-authors of Kang Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Kang Fu. A scholar is included among the top collaborators of Kang Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kang Fu. Kang Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 35 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 13 | |
| 15 | 38 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 17 | |
| 20 | Research and Development of BRP Technology at Baosteel | 1 |
About Kang Fu
Kang Fu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Catalysis, having authored 25 papers that have together received 189 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (3 papers), Image Enhancement Techniques (3 papers) and Advanced Image Processing Techniques (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (7 citations), Catalysis (14 citations) and Computer Vision and Pattern Recognition (28 citations). Kang Fu has collaborated with scholars based in China, Netherlands and United Kingdom. Frequent co-authors include James T. P. Yao, Yunlong Zhou, Wen‐Feng Lin, Zhongbin Su, Chunsheng Lin, Jianjun Zhou, Guangtao Zhai, Zhenyu Liu, Jun Jia and Zicheng Zhang. Their work appears in journals such as Energy Conversion and Management, Journal of Magnetism and Magnetic Materials and IEEE Internet of Things Journal.
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.