Xiaocai Shan

673 total citations
18 papers, 447 citations indexed

About

Xiaocai Shan is a scholar working on Mechanics of Materials, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Xiaocai Shan has authored 18 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanics of Materials, 6 papers in Artificial Intelligence and 5 papers in Cognitive Neuroscience. Recurrent topics in Xiaocai Shan's work include Hydrocarbon exploration and reservoir analysis (6 papers), EEG and Brain-Computer Interfaces (5 papers) and Functional Brain Connectivity Studies (5 papers). Xiaocai Shan is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (6 papers), EEG and Brain-Computer Interfaces (5 papers) and Functional Brain Connectivity Studies (5 papers). Xiaocai Shan collaborates with scholars based in China, United Kingdom and Azerbaijan. Xiaocai Shan's co-authors include Yifan Zhao, Liangyu Chen, Ptolemaios G. Sarrigiannis, Jun Cao, John Ahmet Erkoyuncu, Hua‐Liang Wei, Yuzhu Guo, Xuejun Yan, Shoudong Huo and Fuqi Cheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Industrial Electronics and Geophysics.

In The Last Decade

Xiaocai Shan

17 papers receiving 439 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xiaocai Shan 183 61 59 55 48 18 447
Huaibo Song 43 0.2× 121 2.0× 7 0.1× 125 2.3× 34 0.7× 34 544
Pere Martí-Puig 20 0.1× 8 0.1× 22 0.4× 38 0.7× 58 1.2× 55 560
Iván G. Torre 27 0.1× 3 0.0× 42 0.7× 6 0.1× 99 2.1× 20 456
Daniel R. Raichel 96 0.5× 2 0.0× 35 0.6× 6 0.1× 6 0.1× 19 314
Hui-Rang Hou 124 0.7× 45 0.8× 15 0.3× 32 0.7× 46 409
Tuomas Eerola 23 0.1× 5 0.1× 13 0.2× 8 0.1× 36 0.8× 35 363
Gordon Z. Greenberg 391 2.1× 6 0.1× 4 0.1× 24 0.4× 55 1.1× 13 640
Aleksandr Sinitca 20 0.1× 26 0.4× 4 0.1× 6 0.1× 134 2.8× 39 398
Maria Sandsten 52 0.3× 1 0.0× 15 0.3× 2 0.0× 25 0.5× 47 369

Countries citing papers authored by Xiaocai Shan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaocai Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaocai Shan

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

All Works

18 of 18 papers shown
1.
Zhang, Jiangyun, Xiaocai Shan, Shoudong Huo, et al.. (2025). Deep learning-driven multi-frequency seismic inversion for enhanced thin-layer stratigraphic characterization. Journal of Applied Geophysics. 239. 105749–105749.
2.
Zou, Xinyu, Ross N. Mitchell, Yigang Zhang, et al.. (2024). Sediment subduction in Hadean revealed by machine learning. Proceedings of the National Academy of Sciences. 121(30). e2405160121–e2405160121. 10 indexed citations
3.
Shan, Xiaocai, et al.. (2023). Predicting total organic carbon from well logs based on deep spatial-sequential graph convolutional network. Geophysics. 88(3). D193–D206. 5 indexed citations
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Shan, Xiaocai, Jun Cao, Shoudong Huo, et al.. (2022). Spatial–temporal graph convolutional network for Alzheimer classification based on brain functional connectivity imaging of electroencephalogram. Human Brain Mapping. 43(17). 5194–5209. 43 indexed citations
6.
Cao, Jun, Yifan Zhao, Xiaocai Shan, et al.. (2022). Ultra-high-resolution time-frequency analysis of EEG to characterise brain functional connectivity with the application in Alzheimer’s disease. Journal of Neural Engineering. 19(4). 46034–46034. 11 indexed citations
7.
Zhang, Wang, Zhijun Jin, Quanyou Liu, et al.. (2022). The C–S–Fe system evolution reveals organic matter preservation in lacustrine shales of Yanchang Formation, Ordos Basin, China. Marine and Petroleum Geology. 142. 105734–105734. 10 indexed citations
8.
Zhang, Wang, et al.. (2022). A deep encoder-decoder neural network model for total organic carbon content prediction from well logs. Journal of Asian Earth Sciences. 240. 105437–105437. 10 indexed citations
9.
Shan, Xiaocai, Shoudong Huo, Lichao Yang, et al.. (2021). A Revised Hilbert-Huang Transformation to Track Non-Stationary Association of Electroencephalography Signals. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 841–851. 11 indexed citations
10.
Cao, Jun, Xiaocai Shan, Yifan Zhao, et al.. (2021). Using interictal seizure-free EEG data to recognise patients with epilepsy based on machine learning of brain functional connectivity. Biomedical Signal Processing and Control. 67. 102554–102554. 20 indexed citations
11.
Cao, Jun, Yifan Zhao, Xiaocai Shan, et al.. (2021). Brain functional and effective connectivity based on electroencephalography recordings: A review. Human Brain Mapping. 43(2). 860–879. 131 indexed citations
12.
Yang, Lichao, Xiaocai Shan, Chen Lv, James Brighton, & Yifan Zhao. (2021). Learning Spatio-Temporal Representations With a Dual-Stream 3-D Residual Network for Nondriving Activity Recognition. IEEE Transactions on Industrial Electronics. 69(7). 7405–7414. 7 indexed citations
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Yang, Lichao, Tingyu Yang, Haochen Liu, et al.. (2020). A Refined Non-Driving Activity Classification Using a Two-Stream Convolutional Neural Network. IEEE Sensors Journal. 21(14). 15574–15583. 14 indexed citations
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Shan, Xiaocai, et al.. (2020). An adaptive pig face recognition approach using Convolutional Neural Networks. Computers and Electronics in Agriculture. 173. 105386–105386. 112 indexed citations
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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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