Rui Yan

2.5k total citations · 1 hit paper
131 papers, 1.7k citations indexed

About

Rui Yan is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Rui Yan has authored 131 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Cognitive Neuroscience, 36 papers in Radiology, Nuclear Medicine and Imaging and 29 papers in Experimental and Cognitive Psychology. Recurrent topics in Rui Yan's work include Functional Brain Connectivity Studies (59 papers), Advanced MRI Techniques and Applications (24 papers) and Mental Health Research Topics (23 papers). Rui Yan is often cited by papers focused on Functional Brain Connectivity Studies (59 papers), Advanced MRI Techniques and Applications (24 papers) and Mental Health Research Topics (23 papers). Rui Yan collaborates with scholars based in China, United States and Netherlands. Rui Yan's co-authors include Zhijian Yao, Qing Lü, Maobin Wei, Jiaolong Qin, Hongliang Zhou, Jiabo Shi, Haowen Zou, Lingling Hua, Hao Tang and Jeffrey R. Fitzsimmons and has published in prestigious journals such as Journal of Applied Physics, NeuroImage and Neurology.

In The Last Decade

Rui Yan

118 papers receiving 1.6k citations

Hit Papers

Chronotype, circadian rhythm, and psychiatric disorders: ... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rui Yan China 24 761 448 397 195 133 131 1.7k
Tetsuhito Murata Japan 29 1.6k 2.1× 443 1.0× 413 1.0× 427 2.2× 386 2.9× 106 3.4k
Ye He China 16 1.4k 1.8× 291 0.6× 594 1.5× 111 0.6× 37 0.3× 36 1.9k
Kun‐Hsien Chou Taiwan 31 1.4k 1.9× 312 0.7× 1.0k 2.6× 975 5.0× 118 0.9× 94 3.4k
Bin Jing China 18 580 0.8× 131 0.3× 270 0.7× 196 1.0× 31 0.2× 66 1.1k
Ling Zeng China 16 1.1k 1.5× 469 1.0× 446 1.1× 173 0.9× 71 0.5× 34 1.5k
Guillaume Marrelec France 26 2.8k 3.6× 447 1.0× 1.2k 3.0× 298 1.5× 214 1.6× 59 3.4k
H. Donald Gage United States 26 576 0.8× 155 0.3× 327 0.8× 216 1.1× 216 1.6× 60 2.6k
Zhi Yang China 29 2.0k 2.7× 519 1.2× 805 2.0× 441 2.3× 223 1.7× 97 3.0k
Rongtao Jiang United States 23 1.0k 1.3× 329 0.7× 361 0.9× 295 1.5× 55 0.4× 67 1.7k
Chih‐Ming Cheng Taiwan 23 447 0.6× 161 0.4× 45 0.1× 372 1.9× 205 1.5× 102 1.8k

Countries citing papers authored by Rui Yan

Since Specialization
Citations

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

Fields of papers citing papers by Rui Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Yan. A scholar is included among the top collaborators of Rui Yan 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 Rui Yan. Rui Yan 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
3.
Shao, Junneng, Xinyi Wang, Xue Li, et al.. (2024). Individual suicide risk factors with resting-state brain functional connectivity patterns in bipolar disorder patients based on latent Dirichlet allocation model. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 135. 111117–111117. 1 indexed citations
4.
Hua, Lingling, Rui Yan, Zhongpeng Dai, et al.. (2024). Aberrant high-beta band functional connectivity during reward processing in melancholic major depressive disorder: An MEG study. NeuroImage Clinical. 43. 103666–103666. 3 indexed citations
5.
Gao, Tao, Rui Yan, Nan Fang, et al.. (2024). Alisol C 23-acetate might be a lead compound of potential lipase inhibitor from Alismatis Rhizoma: Screening, identification and molecular dynamics simulation. International Journal of Biological Macromolecules. 278(Pt 2). 134878–134878. 3 indexed citations
6.
Yan, Rui, et al.. (2024). A new integrated steganography scheme for quantum color images. The Journal of Supercomputing. 80(16). 24758–24780. 3 indexed citations
7.
Dong, Yumin, Rui Yan, Qiong Zhang, & Xuesong Wu. (2024). A Hybrid Domain Color Image Watermarking Scheme Based on Hyperchaotic Mapping. Mathematics. 12(12). 1859–1859. 4 indexed citations
8.
Dong, Yumin, et al.. (2024). An adaptive robust watermarking scheme based on chaotic mapping. Scientific Reports. 14(1). 24735–24735. 3 indexed citations
9.
Yan, Rui, Lingling Hua, Yi Xia, et al.. (2024). Based on white matter microstructure to early identify bipolar disorder from patients with depressive episode. Journal of Affective Disorders. 350. 428–434. 6 indexed citations
10.
Wang, Xinyi, Xue Li, Junneng Shao, et al.. (2024). Distinct MRI-based functional and structural connectivity for antidepressant response prediction in major depressive disorder. Clinical Neurophysiology. 160. 19–27. 2 indexed citations
11.
Yan, Rui & Milan Veljković. (2023). Component method for bolted SHS end plate splice joints loaded in tension. Structures. 59. 105704–105704.
12.
Yan, Rui, Haohui Xin, Milan Veljković, & Luís Simões da Silva. (2023). Tensile behaviour of asymmetric bolted square hollow section column splices. Thin-Walled Structures. 190. 111014–111014. 2 indexed citations
13.
Yan, Rui, et al.. (2023). A macro prediction model for butt-welded (U)HSS connections with softened HAZ. Journal of Constructional Steel Research. 211. 108153–108153. 5 indexed citations
14.
Zhao, Shuai, Yu Zhang, Xiaoqin Wang, et al.. (2023). Gray matter reduction is associated with cognitive dysfunction in depressed patients comorbid with subclinical hypothyroidism. Frontiers in Aging Neuroscience. 15. 1106792–1106792. 7 indexed citations
15.
Zhang, Zhe, Zhijin Zhang, Rui Yan, et al.. (2023). Microstructural and functional alterations of the ventral pallidum are associated with levodopa‐induced dyskinesia in Parkinson's disease. European Journal of Neurology. 31(2). e16147–e16147. 4 indexed citations
16.
Xia, Yi, Lingling Hua, Zhongpeng Dai, et al.. (2023). Attenuated post-movement beta rebound reflects psychomotor alterations in major depressive disorder during a simple visuomotor task: a MEG study. BMC Psychiatry. 23(1). 395–395. 8 indexed citations
17.
Yang, Feng, et al.. (2022). An improved bicubic imaging fitting algorithm for 3D radar detection target. Applied Geophysics. 19(4). 553–562. 1 indexed citations
18.
Dai, Zhongpeng, Shui Tian, Rui Yan, et al.. (2020). Gradually evaluating of suicidal risk in depression by semi-supervised cluster analysis on resting-state fMRI. Brain Imaging and Behavior. 15(4). 2149–2158. 14 indexed citations
19.
Yao, Zhijian, et al.. (2015). Relationship between regional homogeneity of male depressed patients and the severity of depression: a resting-state fMRI study. Zhonghua xingwei yixue yu naokexue zazhi. 24(5). 435–437. 1 indexed citations
20.

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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