Guofa Shou

914 total citations
52 papers, 665 citations indexed

About

Guofa Shou is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Guofa Shou has authored 52 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 17 papers in Cardiology and Cardiovascular Medicine and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Guofa Shou's work include EEG and Brain-Computer Interfaces (17 papers), Neural dynamics and brain function (13 papers) and Functional Brain Connectivity Studies (12 papers). Guofa Shou is often cited by papers focused on EEG and Brain-Computer Interfaces (17 papers), Neural dynamics and brain function (13 papers) and Functional Brain Connectivity Studies (12 papers). Guofa Shou collaborates with scholars based in United States, China and Australia. Guofa Shou's co-authors include Lei Ding, Ling Xia, Mingfeng Jiang, Feng Liu, ‪Stuart Crozier‬, Han Yuan, Yoon‐Hee Cha, Qing Wei, Diamond Gleghorn and John A. Sweeney and has published in prestigious journals such as NeuroImage, Scientific Reports and Neuropsychologia.

In The Last Decade

Guofa Shou

49 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guofa Shou United States	15	259	154	128	116	80	52	665
Sunanda Mitra United States	18	244 0.9×	41 0.3×	175 1.4×	83 0.7×	71 0.9×	118	1.1k
Gerald Cooray Sweden	19	383 1.5×	59 0.4×	56 0.4×	66 0.6×	111 1.4×	75	984
Yang Bai China	21	610 2.4×	86 0.6×	57 0.4×	349 3.0×	15 0.2×	66	1.2k
Zeynep Akalin Acar United States	10	831 3.2×	59 0.4×	99 0.8×	33 0.3×	48 0.6×	15	955
S.I. Gonçalves Netherlands	13	801 3.1×	73 0.5×	297 2.3×	58 0.5×	81 1.0×	31	1.1k
Junhai Xu China	17	422 1.6×	22 0.1×	165 1.3×	52 0.4×	35 0.4×	76	857
Mahmoud Hassan France	24	1.2k 4.5×	126 0.8×	133 1.0×	63 0.5×	82 1.0×	87	1.8k
Ünal Sakoğlu United States	15	751 2.9×	58 0.4×	336 2.6×	80 0.7×	89 1.1×	35	1.2k
Claudio M. Privitera United States	15	450 1.7×	45 0.3×	154 1.2×	15 0.1×	31 0.4×	45	1.2k

Countries citing papers authored by Guofa Shou

Since Specialization

Citations

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

Fields of papers citing papers by Guofa Shou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guofa Shou

This figure shows the co-authorship network connecting the top 25 collaborators of Guofa Shou. A scholar is included among the top collaborators of Guofa Shou 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 Guofa Shou. Guofa Shou 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

Khan, Ali Fahim, Fan Zhang, Guofa Shou, Han Yuan, & Lei Ding. (2022). Transient brain-wide coactivations and structured transitions revealed in hemodynamic imaging data. NeuroImage. 260. 119460–119460. 6 indexed citations

Ding, Lei, Guofa Shou, Yoon‐Hee Cha, John A. Sweeney, & Han Yuan. (2022). Brain-wide neural co-activations in resting human. NeuroImage. 260. 119461–119461. 5 indexed citations

Shou, Guofa, Han Yuan, Yoon‐Hee Cha, John A. Sweeney, & Lei Ding. (2022). Age-related changes of whole-brain dynamics in spontaneous neuronal coactivations. Scientific Reports. 12(1). 12140–12140. 5 indexed citations

Chen, Yafen, Yoon‐Hee Cha, Diamond Gleghorn, et al.. (2021). Brain network effects by continuous theta burst stimulation in mal de débarquement syndrome: simultaneous EEG and fMRI study. Journal of Neural Engineering. 18(6). 66025–66025. 3 indexed citations

Shou, Guofa, et al.. (2020). Whole-brain electrophysiological functional connectivity dynamics in resting-state EEG. Journal of Neural Engineering. 17(2). 26016–26016. 10 indexed citations

Chen, Yafen, Yoon‐Hee Cha, Guofa Shou, et al.. (2019). Multimodal Imaging of Repetitive Transcranial Magnetic Stimulation Effect on Brain Network: A Combined Electroencephalogram and Functional Magnetic Resonance Imaging Study. Brain Connectivity. 9(4). 311–321. 16 indexed citations

Cha, Yoon‐Hee, et al.. (2018). Electrophysiological Signatures of Intrinsic Functional Connectivity Related to rTMS Treatment for Mal de Debarquement Syndrome. Brain Topography. 31(6). 1047–1058. 13 indexed citations

Yuan, Han, Guofa Shou, Yoon‐Hee Cha, et al.. (2018). Cortical Statistical Correlation Tomography of EEG Resting State Networks. Frontiers in Neuroscience. 12. 365–365. 7 indexed citations

Shou, Guofa, Matthew W. Mosconi, Jun Wang, et al.. (2017). Electrophysiological signatures of atypical intrinsic brain connectivity networks in autism. Journal of Neural Engineering. 14(4). 46010–46010. 25 indexed citations

10.

Shou, Guofa, et al.. (2017). ICA-Derived EEG Correlates to Mental Fatigue, Effort, and Workload in a Realistically Simulated Air Traffic Control Task. Frontiers in Neuroscience. 11. 297–297. 53 indexed citations

11.

Shou, Guofa, et al.. (2015). Pre-stimulus alpha and post-stimulus N2 foreshadow imminent errors in a single task. Neuropsychologia. 77. 346–358. 8 indexed citations

12.

Shou, Guofa & Lei Ding. (2014). Detection of EEG Spatial–Spectral–Temporal Signatures of Errors: A Comparative Study of ICA-Based and Channel-Based Methods. Brain Topography. 28(1). 47–61. 24 indexed citations

13.

Xia, Ling, et al.. (2014). Fibroblast proliferation alters cardiac excitation conduction and contraction: a computational study. Journal of Zhejiang University SCIENCE B. 15(3). 225–242. 13 indexed citations

14.

Deng, Dongdong, et al.. (2012). Simulation of biatrial conduction via different pathways during sinus rhythm with a detailed human atrial model. Journal of Zhejiang University SCIENCE B. 13(9). 676–694. 9 indexed citations

15.

Jiang, Mingfeng, Yaming Wang, Ling Xia, et al.. (2011). Application of kernel principal component analysis and support vector regression for reconstruction of cardiac transmembrane potentials. Physics in Medicine and Biology. 56(6). 1727–1742. 16 indexed citations

16.

Jiang, Mingfeng, et al.. (2011). A hybrid model of Maximum Margin Clustering method and support vector regression for solving the inverse ECG problem. Computing in Cardiology. 457–460. 7 indexed citations

17.

Shou, Guofa, Ling Xia, Feng Liu, Mingfeng Jiang, & ‪Stuart Crozier‬. (2010). On epicardial potential reconstruction using regularization schemes with the L1-norm data term. Physics in Medicine and Biology. 56(1). 57–72. 26 indexed citations

18.

Shou, Guofa, Ling Xia, Mingfeng Jiang, et al.. (2008). Truncated Total Least Squares: A New Regularization Method for the Solution of ECG Inverse Problems. IEEE Transactions on Biomedical Engineering. 55(4). 1327–1335. 47 indexed citations

19.

Jiang, Mingfeng, Ling Xia, Guofa Shou, Feng Liu, & ‪Stuart Crozier‬. (2008). Two hybrid regularization frameworks for solving the electrocardiography inverse problem. Physics in Medicine and Biology. 53(18). 5151–5164. 13 indexed citations

20.

Jiang, Mingfeng, Ling Xia, & Guofa Shou. (2006). The Use of Genetic Algorithms for Solving the Inverse Problem of Electrocardiography. PubMed. 2006. 3907–3910. 9 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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