Ru Kong

8.2k total citations · 3 hit papers
25 papers, 3.9k citations indexed

About

Ru Kong is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Ru Kong has authored 25 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 15 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Ru Kong's work include Functional Brain Connectivity Studies (23 papers), Neural dynamics and brain function (14 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). Ru Kong is often cited by papers focused on Functional Brain Connectivity Studies (23 papers), Neural dynamics and brain function (14 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). Ru Kong collaborates with scholars based in Singapore, United States and Germany. Ru Kong's co-authors include B.T. Thomas Yeo, Avram J. Holmes, Simon B. Eickhoff, Xi‐Nian Zuo, Alexander Schaefer, Evan M. Gordon, Timothy O. Laumann, Csaba Orbán, Jingwei Li and Mert R. Sabuncu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Ru Kong

25 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI

2017 1.9k citations Alexander Schaefer, Ru Kong et al. Cerebral Cortex profile →
Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion

2018 367 citations Ru Kong, Jingwei Li et al. Cerebral Cortex profile →
Global signal regression strengthens association between resting-state functional connectivity and behavior

2019 242 citations Jingwei Li, Ru Kong et al. NeuroImage profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ru Kong Singapore	18	3.4k	1.4k	797	367	183	25	3.9k
Caterina Gratton United States	26	3.6k 1.1×	1.2k 0.9×	674 0.8×	280 0.8×	260 1.4×	53	4.0k
Adrian W. Gilmore United States	22	4.2k 1.2×	1.2k 0.9×	827 1.0×	281 0.8×	168 0.9×	34	4.5k
Babatunde Adeyemo United States	18	2.9k 0.8×	1.3k 0.9×	572 0.7×	225 0.6×	153 0.8×	28	3.2k
Anish Mitra United States	22	4.1k 1.2×	1.6k 1.1×	666 0.8×	405 1.1×	172 0.9×	36	4.7k
Deanna J. Greene United States	28	3.3k 0.9×	1.2k 0.8×	626 0.8×	387 1.1×	178 1.0×	55	3.8k
Alecia C. Vogel United States	15	5.0k 1.4×	1.6k 1.1×	1.1k 1.4×	586 1.6×	156 0.9×	31	5.7k
Zhengjia Dai China	23	2.6k 0.8×	1.3k 0.9×	473 0.6×	511 1.4×	162 0.9×	56	3.1k
Emily S. Finn United States	29	5.2k 1.5×	1.6k 1.1×	1.4k 1.7×	558 1.5×	123 0.7×	53	5.9k
Yuhui Du China	35	3.2k 0.9×	1.4k 1.0×	779 1.0×	633 1.7×	261 1.4×	112	3.9k
Stan Colcombe United States	16	2.2k 0.7×	954 0.7×	466 0.6×	455 1.2×	208 1.1×	23	3.1k

Countries citing papers authored by Ru Kong

Since Specialization

Citations

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

Fields of papers citing papers by Ru Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ru Kong

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

An, Lijun, Ru Kong, Danilo Bzdok, et al.. (2024). Translating phenotypic prediction models from big to small anatomical MRI data using meta-matching. Imaging Neuroscience. 2. 3 indexed citations

Wang, Xiuyi, Katya Krieger‐Redwood, Guowei Wu, et al.. (2024). The Brain’s Topographical Organization Shapes Dynamic Interaction Patterns That Support Flexible Behavior Based on Rules and Long-Term Knowledge. Journal of Neuroscience. 44(22). e2223232024–e2223232024. 5 indexed citations

Yang, Siqi, Yimin Zhou, Chengzong Peng, et al.. (2024). Macroscale intrinsic dynamics are associated with microcircuit function in focal and generalized epilepsies. Communications Biology. 7(1). 145–145. 1 indexed citations

Kong, Ru, Aihuiping Xue, Qing Yang, et al.. (2023). Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity. NeuroImage. 273. 120010–120010. 34 indexed citations

Kong, Ru, Leon Qi Rong Ooi, Seyedeh-Rezvan Farahibozorg, et al.. (2023). Comparison between gradients and parcellations for functional connectivity prediction of behavior. NeuroImage. 273. 120044–120044. 23 indexed citations

Dhamala, Elvisha, Leon Qi Rong Ooi, Ru Kong, et al.. (2022). Proportional intracranial volume correction differentially biases behavioral predictions across neuroanatomical features, sexes, and development. NeuroImage. 260. 119485–119485. 21 indexed citations

Ooi, Leon Qi Rong, Jianzhong Chen, Shaoshi Zhang, et al.. (2022). Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI. NeuroImage. 263. 119636–119636. 62 indexed citations

Kong, Xiaolu, Ru Kong, Csaba Orbán, et al.. (2021). Sensory-motor cortices shape functional connectivity dynamics in the human brain. Nature Communications. 12(1). 6373–6373. 66 indexed citations

Anderson, Kevin, Tian Ge, Ru Kong, et al.. (2021). Heritability of individualized cortical network topography. Proceedings of the National Academy of Sciences. 118(9). 50 indexed citations

10.

Kong, Ru, Qing Yang, Evan M. Gordon, et al.. (2021). Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior. Cerebral Cortex. 31(10). 4477–4500. 123 indexed citations

11.

Xue, Aihuiping, Ru Kong, Qing Yang, et al.. (2020). The detailed organization of the human cerebellum estimated by intrinsic functional connectivity within the individual. Journal of Neurophysiology. 125(2). 358–384. 84 indexed citations

12.

Orbán, Csaba, Ru Kong, Jingwei Li, Michael W.L. Chee, & B.T. Thomas Yeo. (2020). Time of day is associated with paradoxical reductions in global signal fluctuation and functional connectivity. PLoS Biology. 18(2). e3000602–e3000602. 72 indexed citations

13.

Anderson, Kevin, Meghan A. Collins, Ru Kong, et al.. (2020). Convergent molecular, cellular, and cortical neuroimaging signatures of major depressive disorder. Proceedings of the National Academy of Sciences. 117(40). 25138–25149. 106 indexed citations

14.

He, Tong, Ru Kong, Avram J. Holmes, et al.. (2019). Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics. NeuroImage. 206. 116276–116276. 165 indexed citations

15.

Kashyap, Rajan, Ru Kong, Sagarika Bhattacharjee, et al.. (2019). Individual-specific fMRI-Subspaces improve functional connectivity prediction of behavior. NeuroImage. 189. 804–812. 45 indexed citations

16.

Li, Jingwei, Ru Kong, Raphaël Liégeois, et al.. (2019). Global signal regression strengthens association between resting-state functional connectivity and behavior. NeuroImage. 196. 126–141. 242 indexed citations breakdown →

17.

Kebets, Valeria, Avram J. Holmes, Csaba Orbán, et al.. (2019). Somatosensory-Motor Dysconnectivity Spans Multiple Transdiagnostic Dimensions of Psychopathology. Biological Psychiatry. 86(10). 779–791. 152 indexed citations

18.

Liégeois, Raphaël, Jingwei Li, Ru Kong, et al.. (2019). Resting brain dynamics at different timescales capture distinct aspects of human behavior. Nature Communications. 10(1). 2317–2317. 190 indexed citations

19.

Wang, Peng, Ru Kong, Xiaolu Kong, et al.. (2019). Inversion of a large-scale circuit model reveals a cortical hierarchy in the dynamic resting human brain. Science Advances. 5(1). eaat7854–eaat7854. 160 indexed citations

20.

Kong, Ru, Jingwei Li, Csaba Orbán, et al.. (2018). Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion. Cerebral Cortex. 29(6). 2533–2551. 367 indexed citations breakdown →

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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