Kai-Fu Yang

1.6k citations
46 papers · 1.0k · h-index 19

Impact in

Papers in

Kai-Fu Yang

45 papers receiving 996 citations

Peers

Kai-Fu Yang
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 731
  • Media Technology 227
  • Ophthalmology 98
  • Radiology, Nuclear Medicine and Imaging 213
  • Cognitive Neuroscience 167
Replace Yoichi Miyake with:
Yoichi Miyake Japan
Gareth Loy Australia
Meritxell Vilaseca Spain
Markku Hauta‐Kasari Finland
María Vanrell Spain
Jeffrey S. Perry United States
M.E. Jernigan Canada
Ke Yan Australia
Hiroharu Kawanaka Japan
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Citations per field
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Citations per year

Countries citing papers authored by Kai-Fu Yang

Since Specialization
Citations

This map shows the geographic impact of Kai-Fu Yang'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 Kai-Fu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Fu Yang more than expected).

Fields of papers citing papers by Kai-Fu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai-Fu Yang. 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 Kai-Fu Yang. The network helps show where Kai-Fu Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Kai-Fu Yang, 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 Kai-Fu Yang Line = papers co-authored together Kai-Fu Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201580
2 201578
3 201571
4 202269
5 201668
6 201466
7 201356
8 201954
9 201843
10 202041
11 202138
12 201334
13 201132
14 201727
15 202227
16 202326
17 202425
18 201822
19 202318
20 202113

About Kai-Fu Yang

Kai-Fu Yang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Media Technology, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Image Enhancement Techniques (14 papers), Visual Attention and Saliency Detection (13 papers), Visual perception and processing mechanisms (11 papers), Advanced Image Fusion Techniques (8 papers), Color Science and Applications (8 papers), Retinal Imaging and Analysis (7 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (731 citations), Media Technology (227 citations), Ophthalmology (98 citations), Radiology, Nuclear Medicine and Imaging (213 citations) and Cognitive Neuroscience (167 citations). Kai-Fu Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yongjie Li, Shaobing Gao, Chaoyi Li, Hongmei Yan, Chaoyi Li, Yubo Tan, Xian-Shi Zhang, Tao Deng, Hulin Kuang and Hui Li. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, Expert Systems with Applications and Optics Express.

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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