Shuo Wang

2.8k total citations
94 papers, 1.5k citations indexed

About

Shuo Wang is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Shuo Wang has authored 94 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cognitive Neuroscience, 19 papers in Computer Vision and Pattern Recognition and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Shuo Wang's work include Face Recognition and Perception (27 papers), Neural dynamics and brain function (21 papers) and Neural and Behavioral Psychology Studies (15 papers). Shuo Wang is often cited by papers focused on Face Recognition and Perception (27 papers), Neural dynamics and brain function (21 papers) and Neural and Behavioral Psychology Studies (15 papers). Shuo Wang collaborates with scholars based in United States, China and Japan. Shuo Wang's co-authors include Ralph Adolphs, Ueli Rutishauser, Ming Jiang, Adam N. Mamelak, Mohan Kankanhalli, Jinhong Xu, Qingjie Zhao, Xin Li, Ian B. Ross and Oana Tudusciuc and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Shuo Wang

79 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuo Wang United States	22	970	337	168	137	95	94	1.5k
Yoram Bonneh Israel	28	1.9k 2.0×	188 0.6×	261 1.6×	177 1.3×	121 1.3×	90	2.1k
Guillaume S. Masson France	28	1.8k 1.8×	240 0.7×	109 0.6×	109 0.8×	71 0.7×	95	2.2k
Francisco Pereira United States	14	1.6k 1.6×	191 0.6×	281 1.7×	218 1.6×	28 0.3×	41	2.2k
Michael Spratling United Kingdom	23	1.7k 1.8×	322 1.0×	237 1.4×	197 1.4×	40 0.4×	72	2.5k
Yoshihiro Miyake Japan	23	665 0.7×	215 0.6×	166 1.0×	351 2.6×	36 0.4×	252	2.3k
Rob van Lier Netherlands	23	1.1k 1.1×	287 0.9×	382 2.3×	428 3.1×	63 0.7×	90	1.6k
Stefanie I. Becker Australia	30	2.0k 2.0×	428 1.3×	435 2.6×	308 2.2×	166 1.7×	132	2.6k
Thomas A. Busey United States	19	1.1k 1.2×	194 0.6×	363 2.2×	222 1.6×	145 1.5×	62	1.5k
D. Samuel Schwarzkopf United Kingdom	30	2.2k 2.3×	179 0.5×	372 2.2×	219 1.6×	106 1.1×	101	2.6k
Dietmar Heinke United Kingdom	17	1.2k 1.2×	184 0.5×	235 1.4×	245 1.8×	49 0.5×	59	1.4k

Countries citing papers authored by Shuo Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shuo Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Wang

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

Wang, Shuo, et al.. (2025). Gaze dynamics during natural scene memorization and recognition. Cognition. 259. 106098–106098. 1 indexed citations

Pereira, Michael, Nathan Faivre, Fosco Bernasconi, et al.. (2025). Subcortical correlates of consciousness with human single neuron recordings. eLife. 13.

Zhang, Xiaodong, et al.. (2025). A frequency-guided underwater image restoration network via progressive contrastive learning. Displays. 90. 103102–103102.

Liu, Jiayi, et al.. (2024). Accuracy Evaluation of a Three-Dimensional Face Reconstruction Model Based on the Hifi3D Face Model and Clinical Two-Dimensional Images. Bioengineering. 11(12). 1174–1174.

Zhang, Na, Wenqi Li, Chuanbo Hu, et al.. (2024). Can micro-expressions be used as a biomarker for autism spectrum disorder?. Frontiers in Neuroinformatics. 18. 1435091–1435091. 1 indexed citations

Pereira, Michael, Nathan Faivre, Fosco Bernasconi, et al.. (2024). Subcortical correlates of consciousness with human single neuron recordings. eLife. 13.

Dubois, Julien, et al.. (2024). Domain-specific representation of social inference by neurons in the human amygdala and hippocampus. Science Advances. 10(49). eado6166–eado6166.

Zhang, J. X., Huihui Zhou, & Shuo Wang. (2024). Distinct visual processing networks for foveal and peripheral visual fields. Communications Biology. 7(1). 1259–1259. 3 indexed citations

Sun, Sai, Hongbo Yu, Rongjun Yu, & Shuo Wang. (2023). Functional connectivity between the amygdala and prefrontal cortex underlies processing of emotion ambiguity. Translational Psychiatry. 13(1). 334–334. 23 indexed citations

10.

Yu, Hongbo, et al.. (2023). Multimodal investigations of emotional face processing and social trait judgment of faces. Annals of the New York Academy of Sciences. 1531(1). 29–48. 6 indexed citations

11.

Sun, Sai, et al.. (2023). A uniform human multimodal dataset for emotion perception and judgment. Scientific Data. 10(1). 773–773. 3 indexed citations

12.

Zhang, Na, Hongbo Yu, Lynn K. Paul, et al.. (2023). Comprehensive Social Trait Judgments From Faces in Autism Spectrum Disorder. Psychological Science. 34(10). 1121–1145. 3 indexed citations

13.

Yang, Tao, Julie Ziobro, Nurun Nahar Borna, et al.. (2023). Sudden Unexpected Death in Epilepsy and Respiratory Defects in a Mouse Model of DEPDC5‐Related Epilepsy. Annals of Neurology. 94(5). 812–824. 7 indexed citations

14.

Zhang, Na, et al.. (2022). Discriminative Few Shot Learning of Facial Dynamics in Interview Videos for Autism Trait Classification. IEEE Transactions on Affective Computing. 14(2). 1110–1124. 24 indexed citations

15.

Lin, Chujun, et al.. (2022). A human single-neuron dataset for face perception. Scientific Data. 9(1). 365–365. 8 indexed citations

16.

Pereira, Michael, Pierre Mégevand, Wenwen Chang, et al.. (2021). Evidence accumulation relates to perceptual consciousness and monitoring. Nature Communications. 12(1). 3261–3261. 29 indexed citations

17.

Wang, Shuo & Zhi Zong. (2019). Optimizing of trimaran motion response based on Monto Carlo method. SHILAP Revista de lepidopterología. 1 indexed citations

18.

Wang, Shuo, et al.. (2019). Application of Integrated Geophysical Technologies to the Exploration of Polymetal Deposits: Case study in Fufang, Jiangxi, China. Journal of Engineering Science and Technology Review. 12(4). 78–85. 1 indexed citations

19.

Wang, Shuo, Rongjun Yu, J. Michael Tyszka, et al.. (2017). The human amygdala parametrically encodes the intensity of specific facial emotions and their categorical ambiguity. Nature Communications. 8(1). 14821–14821. 106 indexed citations

20.

Zhou, Nan, Xiaoyi Lin, Shuo Wang, et al.. (2015). A waterborne norovirus gastroenteritis outbreak in a school, eastern China. Epidemiology and Infection. 144(6). 1212–1219. 16 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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