Youyong Kong

2.9k citations
109 papers · 1.8k indexed · 2 hit papers · h-index 20
Topics
Functional Brain Connectivity Studies (27 papers)Mental Health Research Topics (14 papers)Medical Image Segmentation Techniques (14 papers)
Partner nations
ChinaFranceHong Kong

In The Last Decade

Youyong Kong

98 papers receiving 1.8k citations

Hit Papers

Deep Direct Reinforcement Learning for Financial Signal R...201620262019202220162016100200300400

Peers

Youyong Kong
Comparison fields: 5 of 147
  • Artificial Intelligence 521
  • Computer Vision and Pattern Recognition 395
  • Management Science and Operations Research 335
  • Radiology, Nuclear Medicine and Imaging 302
  • Cognitive Neuroscience 300
Replace Sonya Coleman with:
Sonya Coleman United Kingdom
Kuniaki Uehara Japan
Chiew Tong Lau Singapore
Šarūnas Raudys Lithuania
Soman K.P. India
Tingting Liu China
Daehan Won United States
Sohan Seth United States
Damodar Reddy Edla India
Mounir Boukadoum Canada
Youyong Kong relative to Sonya Coleman United Kingdom Sonya Coleman's profile →
Citations per field
00.5×1.5×2.3×
Sonya Coleman · 1×
Citations per year

Countries citing papers authored by Youyong Kong

Since Specialization
Citations

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

Fields of papers citing papers by Youyong Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youyong Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Youyong Kong. A scholar is included among the top collaborators of Youyong 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 Youyong Kong. Youyong 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
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 9
6 2
7 0
8 4
9 1
10 12
11 6
12 2
13 1
14 11
15 9
16 7
17 2
18 2
19 3
20 35

About Youyong Kong

Youyong Kong is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 109 papers that have together received 1.8k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (27 papers), Mental Health Research Topics (14 papers) and Medical Image Segmentation Techniques (14 papers). The work is most often cited by research in Management Science and Operations Research (335 citations), Computer Vision and Pattern Recognition (395 citations) and Finance (192 citations). Youyong Kong has collaborated with scholars based in China, France and Hong Kong. Frequent co-authors include Yue Deng, Feng Bao, Qionghai Dai, Zhiquan Ren, Huazhong Shu, Jiasong Wu, Yonggui Yuan, Guanyu Yang, Liudi Yuan and Lotfi Senhadji. Their work appears in journals such as PLoS ONE, Journal of Applied Physics and IEEE Transactions on Image Processing.

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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