Junming Shao

4.1k total citations · 2 hit papers
93 papers, 2.8k citations indexed

About

Junming Shao is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Junming Shao has authored 93 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 21 papers in Statistical and Nonlinear Physics and 15 papers in Cognitive Neuroscience. Recurrent topics in Junming Shao's work include Complex Network Analysis Techniques (21 papers), Functional Brain Connectivity Studies (15 papers) and Advanced Neuroimaging Techniques and Applications (15 papers). Junming Shao is often cited by papers focused on Complex Network Analysis Techniques (21 papers), Functional Brain Connectivity Studies (15 papers) and Advanced Neuroimaging Techniques and Applications (15 papers). Junming Shao collaborates with scholars based in China, Germany and United Kingdom. Junming Shao's co-authors include Qinli Yang, Zhitong Zhao, Zhao Kang, Meng Han, Zenglin Xu, Wang-Tao Zhou, Claudia Plant, Guoqing Wang, Salah Ud Din and Christian Böhm and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Brain.

In The Last Decade

Junming Shao

92 papers receiving 2.8k citations

Hit Papers

Large-Scale Multi-View Subspace Clustering in Linear Time 2020 2026 2022 2024 2020 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junming Shao China 31 963 518 464 430 252 93 2.8k
Harald Stögbauer Germany 5 846 0.9× 307 0.6× 623 1.3× 312 0.7× 115 0.5× 6 3.0k
Gérard Dreyfus France 31 1.5k 1.5× 399 0.8× 688 1.5× 152 0.4× 148 0.6× 144 4.2k
Babak Nadjar Araabi Iran 33 1.1k 1.2× 816 1.6× 442 1.0× 94 0.2× 161 0.6× 276 3.8k
Peter Tiňo United Kingdom 32 2.3k 2.4× 542 1.0× 522 1.1× 197 0.5× 128 0.5× 201 4.2k
Hua‐Liang Wei United Kingdom 37 959 1.0× 361 0.7× 530 1.1× 132 0.3× 114 0.5× 161 4.1k
Qinli Yang China 26 447 0.5× 114 0.2× 119 0.3× 295 0.7× 357 1.4× 77 1.7k
Muhammad Arif Pakistan 26 571 0.6× 426 0.8× 297 0.6× 51 0.1× 173 0.7× 150 2.5k
Martin F. Møller Denmark 5 1.1k 1.2× 507 1.0× 204 0.4× 70 0.2× 262 1.0× 6 3.5k
A. Sherstinsky United States 6 1.1k 1.1× 436 0.8× 105 0.2× 65 0.2× 304 1.2× 10 3.3k
Jianbo Gao United States 35 399 0.4× 193 0.4× 887 1.9× 1.7k 3.9× 103 0.4× 127 4.3k

Countries citing papers authored by Junming Shao

Since Specialization
Citations

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

Fields of papers citing papers by Junming Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junming Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Junming Shao. A scholar is included among the top collaborators of Junming Shao 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 Junming Shao. Junming Shao 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.
Shao, Junming, et al.. (2025). Collaborate for Real-Time Gain: Semantic-Based Robotic Communication in 3D Object Tracking. IEEE Transactions on Mobile Computing. 24(9). 8899–8912. 1 indexed citations
2.
Yang, Qinli, et al.. (2025). An adaptive rainfall-runoff model for daily runoff prediction under the changing environment: Stream-LSTM. Environmental Modelling & Software. 191. 106524–106524. 2 indexed citations
3.
Shao, Junming, et al.. (2025). An Interpretable framework of Soil moisture estimation based on Mixture-of-Experts (ISMoE): a case study on the Tibetan Plateau. Journal of Hydrology. 661. 133763–133763. 1 indexed citations
4.
Shao, Junming, et al.. (2024). A climate-adaptive transfer learning framework for improving soil moisture estimation in the Qinghai-Tibet Plateau. Journal of Hydrology. 630. 130717–130717. 9 indexed citations
5.
Chen, Hao, et al.. (2024). Attribute enhanced random walk for community detection in attributed networks. Neurocomputing. 615. 128826–128826. 1 indexed citations
6.
Zhang, Zhong, Bang Liu, & Junming Shao. (2023). Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models. 1701–1713. 1 indexed citations
7.
Liu, Jiaming, et al.. (2023). Learning multiple gaussian prototypes for open-set recognition. Information Sciences. 626. 738–753. 20 indexed citations
8.
Ren, Xinyi, Xuning Li, Junming Shao, et al.. (2023). In-situ spectroscopic probe of the intrinsic structure feature of single-atom center in electrochemical CO/CO2 reduction to methanol. Nature Communications. 14(1). 3401–3401. 157 indexed citations breakdown →
9.
Liu, Hongyuan, et al.. (2023). An attention-mechanism-based deep fusion model for improving quantitative precipitation estimation in a sparsely-gauged basin. Journal of Hydrology. 628. 130568–130568. 7 indexed citations
10.
Liu, Jiaming, et al.. (2023). Open-world Semi-supervised Novel Class Discovery. 4002–4010. 9 indexed citations
11.
Sorg, Christian, et al.. (2022). Reducing variations in multi-center Alzheimer’s disease classification with convolutional adversarial autoencoder. Medical Image Analysis. 82. 102585–102585. 26 indexed citations
12.
Zhou, Yan, Yanxi Li, Qing Zhu, et al.. (2019). A reliable traffic prediction approach for bike‐sharing system by exploiting rich information with temporal link prediction strategy. Transactions in GIS. 23(5). 1125–1151. 13 indexed citations
13.
Liang, Sugai, Qiang Wang, Xiangzhen Kong, et al.. (2019). White Matter Abnormalities in Major Depression Biotypes Identified by Diffusion Tensor Imaging. Neuroscience Bulletin. 35(5). 867–876. 27 indexed citations
14.
Sorg, Christian, Changgang Zheng, Qinli Yang, et al.. (2019). Low-rank network signatures in the triple network separate schizophrenia and major depressive disorder. NeuroImage Clinical. 22. 101725–101725. 22 indexed citations
15.
Shao, Junming, Chun Meng, Masoud Tahmasian, et al.. (2018). Common and distinct changes of default mode and salience network in schizophrenia and major depression. Brain Imaging and Behavior. 12(6). 1708–1719. 57 indexed citations
16.
Yang, Qinli, et al.. (2018). Assessing climate impact on forest cover in areas undergoing substantial land cover change using Landsat imagery. The Science of The Total Environment. 659. 732–745. 30 indexed citations
17.
Peters, Henning, Junming Shao, Martin Scherr, et al.. (2016). More Consistently Altered Connectivity Patterns for Cerebellum and Medial Temporal Lobes than for Amygdala and Striatum in Schizophrenia. Frontiers in Human Neuroscience. 10. 55–55. 19 indexed citations
18.
Wohlschläger, Afra M., et al.. (2016). Ongoing Slow Fluctuations in V1 Impact on Visual Perception. Frontiers in Human Neuroscience. 10. 411–411. 7 indexed citations
19.
Tahmasian, Masoud, David C. Knight, Andrei Manoliu, et al.. (2013). Aberrant Intrinsic Connectivity of Hippocampus and Amygdala Overlap in the Fronto-Insular and Dorsomedial-Prefrontal Cortex in Major Depressive Disorder. Frontiers in Human Neuroscience. 7. 639–639. 97 indexed citations
20.
Meng, Chun, Felix Brandl, Masoud Tahmasian, et al.. (2013). Aberrant topology of striatum’s connectivity is associated with the number of episodes in depression. Brain. 137(2). 598–609. 146 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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