Ruiwang Huang

5.7k total citations
154 papers, 4.0k citations indexed

About

Ruiwang Huang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Ruiwang Huang has authored 154 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Cognitive Neuroscience, 72 papers in Radiology, Nuclear Medicine and Imaging and 24 papers in Experimental and Cognitive Psychology. Recurrent topics in Ruiwang Huang's work include Functional Brain Connectivity Studies (97 papers), Advanced Neuroimaging Techniques and Applications (61 papers) and Neural dynamics and brain function (33 papers). Ruiwang Huang is often cited by papers focused on Functional Brain Connectivity Studies (97 papers), Advanced Neuroimaging Techniques and Applications (61 papers) and Neural dynamics and brain function (33 papers). Ruiwang Huang collaborates with scholars based in China, United States and Germany. Ruiwang Huang's co-authors include Junjing Wang, Ruibin Zhang, Huiyuan Huang, Li Huang, Ying Wang, Shuming Zhong, N. Jon Shah, Yong He, Xue Wen and Guanmao Chen and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ruiwang Huang

148 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruiwang Huang China 38 2.9k 1.3k 784 685 310 154 4.0k
Lingzhong Fan China 27 3.4k 1.2× 1.6k 1.2× 710 0.9× 668 1.0× 286 0.9× 86 4.5k
Ziad S. Saad United States 36 5.0k 1.7× 2.2k 1.7× 838 1.1× 537 0.8× 342 1.1× 65 6.2k
Xujun Duan China 42 4.1k 1.4× 1.4k 1.1× 1.0k 1.3× 922 1.3× 184 0.6× 107 4.8k
Franco Cauda Italy 38 3.5k 1.2× 955 0.7× 662 0.8× 987 1.4× 415 1.3× 106 5.0k
Aaron Alexander‐Bloch United States 32 4.2k 1.5× 2.1k 1.6× 883 1.1× 761 1.1× 197 0.6× 83 5.8k
Efstathios D. Gennatas United States 23 2.5k 0.9× 1.3k 1.0× 512 0.7× 861 1.3× 522 1.7× 42 3.9k
Sergio Duca Italy 33 2.7k 0.9× 767 0.6× 493 0.6× 804 1.2× 411 1.3× 93 4.0k
Felix Hoffstaedter Germany 34 2.9k 1.0× 874 0.7× 705 0.9× 677 1.0× 404 1.3× 113 3.9k
Håkon Grydeland Norway 29 2.5k 0.9× 1.6k 1.2× 427 0.5× 730 1.1× 148 0.5× 52 3.9k
Xindi Wang China 16 3.6k 1.3× 1.7k 1.3× 881 1.1× 704 1.0× 448 1.4× 38 4.8k

Countries citing papers authored by Ruiwang Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ruiwang Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiwang Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiwang Huang. A scholar is included among the top collaborators of Ruiwang Huang 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 Ruiwang Huang. Ruiwang Huang 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.
Guo, Yu, et al.. (2025). Dynamic reconfiguration of brain functional networks in world class gymnasts: a resting-state functional MRI study. Brain Communications. 7(2). fcaf083–fcaf083. 1 indexed citations
2.
Huang, Huiyuan, Shufei Zhang, Zezhi Li, et al.. (2025). Characterizing childhood trauma in individuals based on patterns of intrinsic brain connectivity. Journal of Affective Disorders. 375. 103–117. 1 indexed citations
3.
4.
Yang, Yuanyuan, et al.. (2025). Dynamic changes in orbitofrontal-hippocampal connectivity linked to cognitive map formation in humans. NeuroImage. 318. 121415–121415.
5.
Zhang, Yuting, et al.. (2024). Mapping the mentalizing brain: An ALE meta-analysis to differentiate the representation of social scenes and ages on theory of mind. Neuroscience & Biobehavioral Reviews. 167. 105918–105918. 3 indexed citations
6.
7.
Zhang, Shufei, Shenglin She, Zezhi Li, et al.. (2023). Multi-modal MRI measures reveal sensory abnormalities in major depressive disorder patients: A surface-based study. NeuroImage Clinical. 39. 103468–103468. 7 indexed citations
8.
Li, Jinhui, Xiaoyan Wu, Lu Zhang, et al.. (2023). Dissociable contributions of the hippocampus and orbitofrontal cortex to representing task space in a social context. Cerebral Cortex. 34(1). 2 indexed citations
9.
Liu, Xiaojin, Kai Han, Ling Zhao, et al.. (2023). Disrupted resting-state brain functional network properties in non-neuropsychiatric systemic lupus erythematosus patients. Lupus. 32(4). 538–548. 4 indexed citations
10.
Li, Jinhui, et al.. (2022). Dynamic Causal Modelling of Hierarchical Planning. NeuroImage. 258. 119384–119384. 4 indexed citations
11.
12.
Zhang, Yichen, Biao Huang, Lijuan Wang, et al.. (2021). Altered microstructural properties of superficial white matter in patients with Parkinson’s disease. Brain Imaging and Behavior. 16(1). 476–491. 10 indexed citations
13.
Liu, Xiaojin, et al.. (2021). Effect of AoA-L2 on L1 and L2 networks in early and late bilinguals. International Journal of Bilingualism. 25(6). 1616–1634. 7 indexed citations
14.
Liu, Xiaojin, Xiaoyan Wu, Miao Zhong, et al.. (2020). Dynamic Properties of Human Default Mode Network in Eyes-Closed and Eyes-Open. Brain Topography. 33(6). 720–732. 13 indexed citations
15.
Wang, Junjing, Ying Wang, Huiyuan Huang, et al.. (2019). Abnormal dynamic functional network connectivity in unmedicated bipolar and major depressive disorders based on the triple-network model. Psychological Medicine. 50(3). 465–474. 95 indexed citations
16.
Chen, Yan, Ronghao Yu, Lixiang Chen, et al.. (2019). Abnormal dynamic properties of functional connectivity in disorders of consciousness. NeuroImage Clinical. 24. 102071–102071. 40 indexed citations
17.
Zhang, Delong, Zhenni Gao, Bishan Liang, et al.. (2018). Eyes Closed Elevates Brain Intrinsic Activity of Sensory Dominance Networks: A Classifier Discrimination Analysis. Brain Connectivity. 9(2). 221–230. 11 indexed citations
18.
Gao, Zhenni, Delong Zhang, Bishan Liang, et al.. (2017). Exploring the Associations Between Intrinsic Brain Connectivity and Creative Ability Using Functional Connectivity Strength and Connectome Analysis. Brain Connectivity. 7(9). 590–601. 25 indexed citations
19.
Wang, Xiaoyun, Zengjian Wang, Jian Liu, et al.. (2016). Repeated acupuncture treatments modulate amygdala resting state functional connectivity of depressive patients. NeuroImage Clinical. 12. 746–752. 57 indexed citations
20.
Lin, Qixiang, Zhengjia Dai, Mingrui Xia, et al.. (2015). A connectivity-based test-retest dataset of multi-modal magnetic resonance imaging in young healthy adults. Scientific Data. 2(1). 150056–150056. 42 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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