Shi Gu

3.8k total citations · 1 hit paper
42 papers, 1.6k citations indexed

About

Shi Gu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Shi Gu has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 16 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Artificial Intelligence. Recurrent topics in Shi Gu's work include Functional Brain Connectivity Studies (18 papers), Neural dynamics and brain function (13 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). Shi Gu is often cited by papers focused on Functional Brain Connectivity Studies (18 papers), Neural dynamics and brain function (13 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). Shi Gu collaborates with scholars based in United States, China and Singapore. Shi Gu's co-authors include Danielle S. Bassett, John D. Medaglia, Fabio Pasqualetti, Matthew Cieslak, Scott T. Grafton, Qawi K. Telesford, Ari E. Kahn, Jean M. Vettel, Michael B. Miller and Alfred B. Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Shi Gu

37 papers receiving 1.5k 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.

Controllability of structural brain networks

2015 536 citations Shi Gu, Fabio Pasqualetti et al. Nature Communications profile →

Peers

Countries citing papers authored by Shi Gu

Since Specialization

Citations

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

Fields of papers citing papers by Shi Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Gu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Enhancing source-free domain adaptation in Medical Image Segmentation via regulated model self-training 2025 ·Medical Image Analysis ·Tianwei Zhang, Kang Li, Shi Gu, Pheng‐Ann Heng	2
2	A concept-based interpretable model for the diagnosis of choroid neoplasias using multimodal data 2025 ·Nature Communications ·Yifan Wu, (unknown), (unknown), (unknown), (unknown), (unknown), Lihong Yang, Dongjun Li, (unknown), Shiyi Yin, Chunyan Lei, Meixia Zhang, James C. Gee, (unknown), Wenbin Wei, Shi Gu	3
3	Hybrid Concept Bottleneck Models 2025 ·Yang Liu, Tianwei Zhang, Shi Gu	0
4	Error-Aware Conversion from ANN to SNN via Post-training Parameter Calibration 2024 ·International Journal of Computer Vision ·(unknown), Shikuang Deng, Xin Dong, Shi Gu	3
5	Choroid plexus volume enlargement in first-episode antipsychotic-naïve schizophrenia 2024 ·SHILAP Revista de lepidopterología ·Jiaxin Zeng, Tianwei Zhang, Biqiu Tang, Siyi Li, Yao Li, Jeffrey R. Bishop, John A. Sweeney, Zhenlin Li, Changjian Qiu, Shi Gu, Qiyong Gong, Wenjing Zhang, Su Lui	12
6	Enhancing neural encoding models for naturalistic perception with a multi-level integration of deep neural networks and cortical networks 2024 ·Science Bulletin ·Yuanning Li, (unknown), Shi Gu	3
7	Transdiagnostic white matter controllability deficits across patients with affective and anxiety spectrum disorders 2024 ·Journal of Affective Disorders ·Biqiu Tang, Hengyi Cao, Shikuang Deng, Wenjing Zhang, Youjin Zhao, Qiyong Gong, Shi Gu, Su Lui	0
8	Network controllability of structural connectomes in the neonatal brain 2023 ·Nature Communications ·(unknown), Rongtao Jiang, (unknown), Alexander J. Dufford, Stephanie Noble, Marisa N. Spann, Shi Gu, Dustin Scheinost	10
9	Altered controllability of white matter networks and related brain function changes in first-episode drug-naive schizophrenia 2022 ·Cerebral Cortex ·Biqiu Tang, Wenjing Zhang, (unknown), Shikuang Deng, Na Hu, Siyi Li, Youjin Zhao, (unknown), Jiaxin Zeng, Hengyi Cao, John A. Sweeney, Qiyong Gong, Shi Gu, Su Lui	6
10	Network controllability mediates the relationship between rigid structure and flexible dynamics 2021 ·Network Neuroscience ·Shi Gu, Panagiotis Fotiadis, Linden Parkes, Cedric Huchuan Xia, Ruben C. Gur, Raquel E. Gur, David R. Roalf, Theodore D. Satterthwaite, Dani S. Bassett	8
11	Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks 2021 ·Neural Information Processing Systems ·Yuhang Li, Yufei Guo, (unknown), Shikuang Deng, (unknown), Shi Gu	86
12	Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states 2021 ·Communications Biology ·Arian Ashourvan, Preya Shah, Adam Pines, Shi Gu, Christopher W. Lynn, Danielle S. Bassett, Kathryn A. Davis, Brian Litt	14
13	Detecting brain lesions in suspected acute ischemic stroke with CT-based synthetic MRI using generative adversarial networks 2021 ·Annals of Translational Medicine ·Na Hu, Tianwei Zhang, Yifan Wu, Biqiu Tang, (unknown), Bin Song, Qiyong Gong, Min Wu, Shi Gu, Su Lui	12
14	Measurement reliability for individual differences in multilayer network dynamics: Cautions and considerations 2020 ·NeuroImage ·Zhen Yang, Qawi K. Telesford, Alexandre R. Franco, (unknown), Shi Gu, Ting Xu, Lei Ai, F. Xavier Castellanos, Chao‐Gan Yan, Stan Colcombe, Michael P. Milham	25
15	Unifying the Notions of Modularity and Core–Periphery Structure in Functional Brain Networks during Youth 2019 ·Cerebral Cortex ·Shi Gu, Cedric Huchuan Xia, Rastko Ćirić, Tyler M. Moore, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Danielle S. Bassett	15
16	Network changes associated with transdiagnostic depressive symptom improvement following cognitive behavioral therapy in MDD and PTSD 2018 ·Molecular Psychiatry ·Zhen Yang, Shi Gu, Nicolas Honnorat, Kristin A. Linn, Russell T. Shinohara, Irem Aselcioglu, Steven E. Bruce, Desmond J. Oathes, Christos Davatzikos, Theodore D. Satterthwaite, Danielle S. Bassett, Yvette I. Sheline	34
17	The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure 2018 ·Scientific Reports ·Shi Gu, Matthew Cieslak, Benjamin Baird, Sarah F. Muldoon, Scott T. Grafton, Fabio Pasqualetti, Danielle S. Bassett	76
18	Optimal trajectories of brain state transitions 2017 ·NeuroImage ·Shi Gu, Richard F. Betzel, Marcelo G. Mattar, Matthew Cieslak, (unknown), Scott T. Grafton, Fabio Pasqualetti, Danielle S. Bassett	113
19	Controllability of structural brain networks breakdown → 2015 ·Nature Communications ·Shi Gu, Fabio Pasqualetti, Matthew Cieslak, Qawi K. Telesford, Alfred B. Yu, Ari E. Kahn, John D. Medaglia, Jean M. Vettel, Michael B. Miller, Scott T. Grafton, Danielle S. Bassett	536
20	A neurophysiological study among Chinese CS2-exposed workers. 1985 ·PubMed ·Miyuki Hirata, Keiko Sugimoto, (unknown), Shoji Goto, (unknown), (unknown), (unknown), Shi Gu, (unknown), (unknown)	9

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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