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 Singapore. Xiaocai Shan's co-authors include Yifan Zhao, Liangyu Chen, Ptolemaios G. Sarrigiannis, Jun Cao, John Ahmet Erkoyuncu, Yuzhu Guo, Hua‐Liang Wei, 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

Peers

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

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18 of 18 papers shown

#	Work	Indexed citations
1	Deep learning-driven multi-frequency seismic inversion for enhanced thin-layer stratigraphic characterization 2025 ·Journal of Applied Geophysics ·Jiangyun Zhang, Xiaocai Shan, Shoudong Huo, (unknown), Wenhao Zheng, Xuhui Zhou, Enwu Liu	0
2	Sediment subduction in Hadean revealed by machine learning 2024 ·Proceedings of the National Academy of Sciences ·(unknown), Xinyu Zou, Ross N. Mitchell, Yigang Zhang, Yong Zhao, Qing‐Zhu Yin, Wei Yang, (unknown), Hao Wang, Christopher J. Spencer, Xiaocai Shan, Shitou Wu, Guangming Li, Kezhang Qin, Xian‐Hua Li	10
3	Predicting total organic carbon from well logs based on deep spatial-sequential graph convolutional network 2023 ·Geophysics ·Xiaocai Shan, Zhangxin Chen, (unknown), Wang Zhang, Jing Li, Keliu Wu	5
4	Using Multi-Modal MRI Data for Parkinson's Disease Diagnosis based on 3D Convolutional Neural Network 2023 ·(unknown), (unknown), Xin Wei, Xiaocai Shan, Peiyao Zhang, Yingying Hu, Yuan Luo	1
5	Spatial–temporal graph convolutional network for Alzheimer classification based on brain functional connectivity imaging of electroencephalogram 2022 ·Human Brain Mapping ·Xiaocai Shan, Jun Cao, Shoudong Huo, Liangyu Chen, Ptolemaios G. Sarrigiannis, Yifan Zhao	43
6	Ultra-high-resolution time-frequency analysis of EEG to characterise brain functional connectivity with the application in Alzheimer’s disease 2022 ·Journal of Neural Engineering ·Jun Cao, Yifan Zhao, Xiaocai Shan, D. Blackburn, (unknown), John Ahmet Erkoyuncu, Liangyu Chen, Ptolemaios G. Sarrigiannis	11
7	The C–S–Fe system evolution reveals organic matter preservation in lacustrine shales of Yanchang Formation, Ordos Basin, China 2022 ·Marine and Petroleum Geology ·Wang Zhang, Zhijun Jin, Quanyou Liu, Xiaocai Shan, Peng Li, Xinping Liang	10
8	A deep encoder-decoder neural network model for total organic carbon content prediction from well logs 2022 ·Journal of Asian Earth Sciences ·Wang Zhang, Xiaocai Shan, (unknown), Xinyu Zou, Li‐Yun Fu	10
9	A Revised Hilbert-Huang Transformation to Track Non-Stationary Association of Electroencephalography Signals 2021 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·Xiaocai Shan, Shoudong Huo, Lichao Yang, Jun Cao, (unknown), Liangyu Chen, Ptolemaios G. Sarrigiannis, Yifan Zhao	11
10	Using interictal seizure-free EEG data to recognise patients with epilepsy based on machine learning of brain functional connectivity 2021 ·Biomedical Signal Processing and Control ·Jun Cao, (unknown), Xiaocai Shan, Yifan Zhao, (unknown), Liangyu Chen, Zhiqing Li, Richard A. Grünewald, Panagiotis Zis, Matteo De Marco, Zoe Unwin, D. Blackburn, Ptolemaios G. Sarrigiannis	20
11	Brain functional and effective connectivity based on electroencephalography recordings: A review 2021 ·Human Brain Mapping ·Jun Cao, Yifan Zhao, Xiaocai Shan, Hua‐Liang Wei, Yuzhu Guo, Liangyu Chen, John Ahmet Erkoyuncu, Ptolemaios G. Sarrigiannis	131
12	Learning Spatio-Temporal Representations With a Dual-Stream 3-D Residual Network for Nondriving Activity Recognition 2021 ·IEEE Transactions on Industrial Electronics ·Lichao Yang, Xiaocai Shan, Chen Lv, James Brighton, Yifan Zhao	7
13	Application of Geologically Constrained Machine Learning Method in Characterizing Paleokarst Reservoirs of Tarim Basin, China 2020 ·Water ·(unknown), Fei Tian, Xiaocai Shan, Y.H. Zhou, (unknown), Changchun Yang	6
14	Electrofacies classification of deeply buried carbonate strata using machine learning methods: A case study on ordovician paleokarst reservoirs in Tarim Basin 2020 ·Marine and Petroleum Geology ·(unknown), Fei Tian, Qingyun Di, (unknown), Fuqi Cheng, Xiaocai Shan	33
15	An adaptive pig face recognition approach using Convolutional Neural Networks 2020 ·Computers and Electronics in Agriculture ·(unknown), (unknown), Xiaocai Shan, (unknown), (unknown), Xuejun Yan, (unknown), Yifan Zhao	112
16	A Refined Non-Driving Activity Classification Using a Two-Stream Convolutional Neural Network 2020 ·IEEE Sensors Journal ·Lichao Yang, Tingyu Yang, Haochen Liu, Xiaocai Shan, James Brighton, Lee Skrypchuk, Alexandros Mouzakitis, Yifan Zhao	14
17	Spectral Decomposition and a Waveform Cluster to Characterize Strongly Heterogeneous Paleokarst Reservoirs in the Tarim Basin, China 2019 ·Water ·Xiaocai Shan, Fei Tian, Fuqi Cheng, Changchun Yang, (unknown)	10
18	Three-Dimensional Geophysical Characterization of Deeply Buried Paleokarst System in the Tahe Oilfield, Tarim Basin, China 2019 ·Water ·Fei Tian, Zhongxing Wang, Fuqi Cheng, (unknown), (unknown), Wang Zhang, Xiaocai Shan	13

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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