Shilin Sun

1.1k total citations · 2 hit papers
42 papers, 726 citations indexed

About

Shilin Sun is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Shilin Sun has authored 42 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 8 papers in Control and Systems Engineering and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Shilin Sun's work include Advanced Fiber Optic Sensors (9 papers), Photonic and Optical Devices (8 papers) and Advanced Fiber Laser Technologies (8 papers). Shilin Sun is often cited by papers focused on Advanced Fiber Optic Sensors (9 papers), Photonic and Optical Devices (8 papers) and Advanced Fiber Laser Technologies (8 papers). Shilin Sun collaborates with scholars based in China, Hong Kong and Germany. Shilin Sun's co-authors include Fulei Chu, Tianyang Wang, Hongxing Yang, Yuekai Liu, Qi Li, Xinyue Tang, Ying Wang, Li Huang, Zixuan Guo and Shu Xiao and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Water Resources Research and IEEE Transactions on Industrial Electronics.

In The Last Decade

Shilin Sun

40 papers receiving 691 citations

Hit Papers

Short-term multi-step wind power forecasting based on spa... 2023 2026 2024 2025 2023 2024 40 80 120
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.

  1. Short-term multi-step wind power forecasting based on spatio-temporal correlations and transformer neural networks
    2023 128 citations Shilin Sun, Yuekai Liu et al. Energy Conversion and Management profile →
  2. Systematic review and meta-analysis: multimodal functional and anatomical neural alterations in autism spectrum disorder
    2024 45 citations Zixuan Guo, Xinyue Tang et al. Molecular Autism profile →

Peers

Shilin Sun
Ali Chaibakhsh Iran
Hongquan Qu China
Zechao Wang China
Pedro Rosas Brazil
Sandra Dudley United Kingdom
Sunil L. Kukreja United States
Zhiqiang Liu China
Xu Wang China
Wenqiang Xu China
Jaeyong Sung South Korea
Ali Chaibakhsh Iran
Shilin Sun
Citations per year, relative to Shilin Sun Shilin Sun (= 1×) peers Ali Chaibakhsh

Countries citing papers authored by Shilin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Shilin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shilin Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Shilin Sun. A scholar is included among the top collaborators of Shilin Sun 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 Shilin Sun. Shilin Sun 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, Zixuan, Shu Xiao, Shilin Sun, et al.. (2025). Neural Activity Alterations and Their Association With Neurotransmitter and Genetic Profiles in Schizophrenia: Evidence From Clinical Patients and Unaffected Relatives. CNS Neuroscience & Therapeutics. 31(2). e70218–e70218. 2 indexed citations
2.
Guo, Zixuan, Shilin Sun, Shu Xiao, et al.. (2024). COVID-19 is associated with changes in brain function and structure: A multimodal meta-analysis of neuroimaging studies. Neuroscience & Biobehavioral Reviews. 164. 105792–105792. 14 indexed citations
3.
Li, Qi, et al.. (2024). Transparent Operator Network: A Fully Interpretable Network Incorporating Learnable Wavelet Operator for Intelligent Fault Diagnosis. IEEE Transactions on Industrial Informatics. 20(6). 8628–8638. 34 indexed citations
4.
Tang, Xinyue, Zixuan Guo, Guanmao Chen, et al.. (2024). A Multimodal Meta-Analytical Evidence of Functional and Structural Brain Abnormalities Across Alzheimer's Disease Spectrum. Ageing Research Reviews. 95. 102240–102240. 27 indexed citations
5.
Guo, Zixuan, Shu Xiao, Shuming Zhong, et al.. (2024). Disruption of the gut microbiota-inflammation-brain axis in unmedicated bipolar disorder II depression. Translational Psychiatry. 14(1). 495–495. 9 indexed citations
6.
Guo, Zixuan, Xinyue Tang, Shu Xiao, et al.. (2024). Systematic review and meta-analysis: multimodal functional and anatomical neural alterations in autism spectrum disorder. Molecular Autism. 15(1). 16–16. 45 indexed citations breakdown →
7.
Chen, Chao, Shilin Sun, Zixuan Guo, et al.. (2024). A multimodal neuroimaging meta-analysis of functional and structural brain abnormalities in attention-deficit/hyperactivity disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 136. 111199–111199. 4 indexed citations
8.
Sun, Shilin, Tianyang Wang, & Fulei Chu. (2023). A multi-learner neural network approach to wind turbine fault diagnosis with imbalanced data. Renewable Energy. 208. 420–430. 36 indexed citations
9.
Sun, Shilin, et al.. (2023). Wind turbine blade breakage detection based on environment-adapted contrastive learning. Renewable Energy. 219. 119487–119487. 5 indexed citations
10.
Liu, Yuekai, Tianyang Wang, Shilin Sun, Qi Li, & Fulei Chu. (2023). Physics-Informed Scaling Evolutionary Transformer for In-Situ Tool Condition Monitoring. IEEE/ASME Transactions on Mechatronics. 29(1). 647–658. 4 indexed citations
11.
Sun, Shilin, Yuekai Liu, Qi Li, Tianyang Wang, & Fulei Chu. (2023). Short-term multi-step wind power forecasting based on spatio-temporal correlations and transformer neural networks. Energy Conversion and Management. 283. 116916–116916. 128 indexed citations breakdown →
12.
Sun, Shilin, et al.. (2023). Matching contrastive learning: An effective and intelligent method for wind turbine fault diagnosis with imbalanced SCADA data. Expert Systems with Applications. 223. 119891–119891. 38 indexed citations
13.
Sun, Shilin, et al.. (2023). Optimization of W-DCGAN Fault Diagnosis Method Based on Self-attention Mechanism. Journal of Physics Conference Series. 2503(1). 12050–12050. 1 indexed citations
14.
Sun, Shilin, et al.. (2023). Study on mechanism of hepatoprotective effect of Chrysanthemum morifolium Ramat. based on metabolomics with network analysis and network pharmacology. Journal of Chromatography B. 1222. 123711–123711. 3 indexed citations
15.
Sun, Shilin, Shu Xiao, Zixuan Guo, et al.. (2023). Meta-analysis of cortical thickness reduction in adult schizophrenia. Journal of Psychiatry and Neuroscience. 48(6). E461–E470. 4 indexed citations
16.
Sun, Shilin, Tianyang Wang, Hongxing Yang, & Fulei Chu. (2022). An Environmentally Adaptive and Contrastive Representation Learning Method for Condition Monitoring of Industrial Assets. IEEE Transactions on Cybernetics. 54(3). 1484–1496. 10 indexed citations
17.
Sun, Shilin, Tianyang Wang, & Fulei Chu. (2022). In-situ condition monitoring of wind turbine blades: A critical and systematic review of techniques, challenges, and futures. Renewable and Sustainable Energy Reviews. 160. 112326–112326. 59 indexed citations
18.
Sun, Shilin, Tianyang Wang, Hongxing Yang, & Fulei Chu. (2022). Damage identification of wind turbine blades using the microphone array under different parametric and measuring conditions: A prototype study with laboratory-scale models. Structural Health Monitoring. 22(1). 201–215. 8 indexed citations
19.
Sun, Shilin, Tianyang Wang, Hongxing Yang, & Fulei Chu. (2022). Adversarial Representation Learning for Intelligent Condition Monitoring of Complex Machinery. IEEE Transactions on Industrial Electronics. 70(5). 5255–5265. 5 indexed citations
20.
Chen, Wei, et al.. (2017). The effect of modulation instability on the interferometric fiber sensing systems. 8794. 1–2. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ali Chaibakhsh Breakdown of academic impact, for papers by Hongquan Qu Breakdown of academic impact, for papers by Zechao Wang Breakdown of academic impact, for papers by Pedro Rosas Breakdown of academic impact, for papers by Sandra Dudley Breakdown of academic impact, for papers by Sunil L. Kukreja Breakdown of academic impact, for papers by Zhiqiang Liu Breakdown of academic impact, for papers by Xu Wang Breakdown of academic impact, for papers by Wenqiang Xu Breakdown of academic impact, for papers by Jaeyong Sung
Rankless by CCL
2026