Yu Kong

10.1k total citations · 3 hit papers
106 papers, 6.5k citations indexed

About

Yu Kong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yu Kong has authored 106 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 16 papers in Molecular Biology. Recurrent topics in Yu Kong's work include Human Pose and Action Recognition (31 papers), Video Surveillance and Tracking Methods (20 papers) and Anomaly Detection Techniques and Applications (19 papers). Yu Kong is often cited by papers focused on Human Pose and Action Recognition (31 papers), Video Surveillance and Tracking Methods (20 papers) and Anomaly Detection Techniques and Applications (19 papers). Yu Kong collaborates with scholars based in United States, China and Germany. Yu Kong's co-authors include Yun Fu, Yulun Zhang, Bineng Zhong, Yapeng Tian, Yuangang Zu, Yujie Fu, Thomas Efferth, Zhiqiang Tao, Wei Liu and Yunde Jia and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Analytical Chemistry and Bioresource Technology.

In The Last Decade

Yu Kong

102 papers receiving 6.3k citations

Hit Papers

Residual Dense Network for Image Super-Resolution 2018 2026 2020 2023 2018 2020 2022 500 1000 1.5k 2.0k 2.5k

Peers

Yu Kong
Comparison fields: 5 of 174
  • Computer Vision and Pattern Recognition 4.0k
  • Media Technology 1.8k
  • Artificial Intelligence 758
  • Molecular Biology 677
  • Biomedical Engineering 598
Replace Changming Sun with:
Changming Sun Australia
Mohammad Shorif Uddin Bangladesh
Muhammad Hussain Saudi Arabia
Xiaofei He China
Chunyang Li China
Michael S. Brown United States
Xiaopeng Wei China
Xinxing Xu China
Fernando De la Torre United States
Domingo Mery Chile
Changming Sun Australia View profile →
Citations per field, relative to Yu Kong
Yu Kong · 1×
Citations per year, relative to Yu Kong
Yu Kong · 1×

Countries citing papers authored by Yu Kong

Since Specialization
Citations

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

Fields of papers citing papers by Yu Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu Kong. 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 Yu Kong. The network helps show where Yu Kong may publish in the future.

Co-authorship network of co-authors of Yu Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Kong. A scholar is included among the top collaborators of Yu Kong 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 Yu Kong. Yu Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 9
4 38
5
Using an iPad to measure Visual Fields in Children.
1
6 12
7 54
8
Sparse Subspace Clustering by Learning Approximation ℓ0 Codes
7
9 56
10
Clinical validation of a tablet perimeter
2
11 30
12 11
13 36
14 22
15 11
16 48
17 69
18 7
19 34
20 61

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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