Youyong Kong

2.9k total citations · 2 hit papers
109 papers, 1.8k citations indexed

About

Youyong Kong is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Youyong Kong has authored 109 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 29 papers in Cognitive Neuroscience and 27 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Youyong Kong's work include Functional Brain Connectivity Studies (27 papers), Mental Health Research Topics (14 papers) and Medical Image Segmentation Techniques (14 papers). Youyong Kong is often cited by papers focused on Functional Brain Connectivity Studies (27 papers), Mental Health Research Topics (14 papers) and Medical Image Segmentation Techniques (14 papers). Youyong Kong collaborates with scholars based in China, France and Hong Kong. Youyong Kong's co-authors include Yue Deng, Feng Bao, Qionghai Dai, Zhiquan Ren, Huazhong Shu, Jiasong Wu, Yonggui Yuan, Guanyu Yang, Liudi Yuan and Lotfi Senhadji and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and IEEE Transactions on Image Processing.

In The Last Decade

Youyong Kong

98 papers receiving 1.8k citations

Hit Papers

Deep Direct Reinforcement Learning for Financial Signal R... 2016 2026 2019 2022 2016 2016 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Youyong Kong China 20 521 395 335 302 300 109 1.8k
Sonya Coleman United Kingdom 22 410 0.8× 999 2.5× 418 1.2× 129 0.4× 367 1.2× 240 2.6k
Chiew Tong Lau Singapore 25 463 0.9× 479 1.2× 103 0.3× 126 0.4× 408 1.4× 119 2.7k
Kuniaki Uehara Japan 16 602 1.2× 499 1.3× 259 0.8× 82 0.3× 63 0.2× 124 1.5k
Šarūnas Raudys Lithuania 18 826 1.6× 658 1.7× 102 0.3× 86 0.3× 111 0.4× 50 1.9k
Sohan Seth United States 18 521 1.0× 335 0.8× 62 0.2× 107 0.4× 382 1.3× 72 1.9k
Soman K.P. India 19 567 1.1× 125 0.3× 330 1.0× 84 0.3× 64 0.2× 59 1.5k
Daehan Won United States 17 229 0.4× 159 0.4× 167 0.5× 142 0.5× 61 0.2× 78 1.1k
Damodar Reddy Edla India 29 959 1.8× 243 0.6× 29 0.1× 418 1.4× 371 1.2× 166 2.8k
Mounir Boukadoum Canada 23 434 0.8× 311 0.8× 45 0.1× 129 0.4× 398 1.3× 185 1.9k
Pavel Pudil Czechia 15 1.5k 2.8× 1.3k 3.2× 58 0.2× 170 0.6× 282 0.9× 63 3.5k

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
1.
Guan, Senlin, et al.. (2025). Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 1550–1561.
2.
Yuan, Yonggui, et al.. (2025). MSARAE: Multiscale adversarial regularized autoencoders for cortical network classification. Medical Image Analysis. 106. 103775–103775.
3.
Li, Mingying, et al.. (2025). Automatic x‐ray to CT registration using embedding reconstruction and lite cross‐attention. Medical Physics. 52(7). e17896–e17896.
5.
Chen, Xin, et al.. (2024). MGSN: Depression EEG lightweight detection based on multiscale DGCN and SNN for multichannel topology. Biomedical Signal Processing and Control. 92. 106051–106051. 9 indexed citations
6.
Kong, Youyong, et al.. (2024). Hydrogen leakage identification of hydrogen fuel cell vehicles in underground garages using Tikhonov regularization and Bayesian methods. International Journal of Hydrogen Energy. 98. 1478–1491. 2 indexed citations
7.
Wu, Jiasong, Xuan Li, Fanman Meng, et al.. (2024). CSLNSpeech: Solving the extended speech separation problem with the help of Chinese sign language. Speech Communication. 165. 103131–103131.
8.
Kong, Youyong, et al.. (2024). Multi-Scale Spatial-Temporal Attention Networks for Functional Connectome Classification. IEEE Transactions on Medical Imaging. 44(1). 475–488. 3 indexed citations
9.
Wu, Jiasong, Youyong Kong, Chunfeng Yang, et al.. (2024). Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5967–5975. 4 indexed citations
10.
Hu, Changchun, Wenhao Jiang, Mei Wang, et al.. (2023). Microstructural abnormalities of white matter in the cingulum bundle of adolescents with major depression and non-suicidal self-injury. Psychological Medicine. 54(6). 1113–1121. 7 indexed citations
11.
Shu, Huazhong, et al.. (2023). CMF-Net: craniomaxillofacial landmark localization on CBCT images using geometric constraint and transformer. Physics in Medicine and Biology. 68(9). 95020–95020. 12 indexed citations
12.
Duan, Jia, Pengfei Zhao, Jie Liu, et al.. (2023). Predicting treatment response in adolescents and young adults with major depressive episodes from fMRI using graph isomorphism network. NeuroImage Clinical. 40. 103534–103534. 1 indexed citations
13.
Jiang, Wenhao, Fan Li, Xiaoyun Liu, et al.. (2023). Linking individual variability in functional brain connectivity to polygenic risk in major depressive disorder. Journal of Affective Disorders. 329. 55–63. 11 indexed citations
14.
Zhou, Yue, et al.. (2023). Abnormal changes of dynamic topological characteristics in patients with major depressive disorder. Journal of Affective Disorders. 345. 349–357. 9 indexed citations
15.
Kong, Youyong, et al.. (2023). Locating Faulty Applications via Semantic and Topology Estimation. 528–532. 2 indexed citations
16.
Kong, Youyong, et al.. (2023). Multi-scale self-attention mixup for graph classification. Pattern Recognition Letters. 168. 100–106. 6 indexed citations
17.
Wang, Wenhan, Youyong Kong, Zhenghua Hou, Chunfeng Yang, & Yonggui Yuan. (2022). Spatio-Temporal Attention Graph Convolution Network for Functional Connectome Classification. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1486–1490. 5 indexed citations
18.
Zhang, Yuqun, Youyong Kong, Yuan Yang, et al.. (2021). Asthma-Specific Temporal Variability Reveals the Effect of Group Cognitive Behavior Therapy in Asthmatic Patients. Frontiers in Neurology. 12. 615820–615820. 2 indexed citations
19.
Zhang, Yan, Jiasong Wu, Youyong Kong, Gouenou Coatrieux, & Huazhong Shu. (2019). Image denoising via a non-local patch graph total variation. PLoS ONE. 14(12). e0226067–e0226067. 1 indexed citations
20.
Hou, Zhenghua, Youyong Kong, Xiaofu He, et al.. (2018). Increased temporal variability of striatum region facilitating the early antidepressant response in patients with major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 85. 39–45. 35 indexed citations

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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