Tao Shan

998 total citations
40 papers, 651 citations indexed

About

Tao Shan is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Aerospace Engineering. According to data from OpenAlex, Tao Shan has authored 40 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 11 papers in Atomic and Molecular Physics, and Optics and 10 papers in Aerospace Engineering. Recurrent topics in Tao Shan's work include Electromagnetic Scattering and Analysis (10 papers), Microwave Imaging and Scattering Analysis (8 papers) and Electromagnetic Simulation and Numerical Methods (6 papers). Tao Shan is often cited by papers focused on Electromagnetic Scattering and Analysis (10 papers), Microwave Imaging and Scattering Analysis (8 papers) and Electromagnetic Simulation and Numerical Methods (6 papers). Tao Shan collaborates with scholars based in China, United States and United Kingdom. Tao Shan's co-authors include Maokun Li, Shenheng Xu, Fan Yang, Xiaotian Pan, Rui Guo, Ji Wu, Xiaoqian Song, W. Tang, Manuel Arrebola and Marco Salucci and has published in prestigious journals such as Journal of Applied Physics, Applied Catalysis B: Environmental and Chemical Engineering Journal.

In The Last Decade

Tao Shan

37 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tao Shan China 15 229 169 142 140 127 40 651
Huan Huan Zhang China 17 382 1.7× 227 1.3× 179 1.3× 76 0.5× 46 0.4× 56 746
He Ming Yao Hong Kong 15 285 1.2× 153 0.9× 302 2.1× 295 2.1× 48 0.4× 39 758
Naixing Feng China 20 722 3.2× 303 1.8× 279 2.0× 65 0.5× 334 2.6× 92 1.3k
Fei Xing China 18 311 1.4× 621 3.7× 61 0.4× 128 0.9× 44 0.3× 82 989
S. Berge Norway 14 139 0.6× 190 1.1× 71 0.5× 220 1.6× 22 0.2× 29 1.1k
José Torres Spain 14 192 0.8× 211 1.2× 65 0.5× 41 0.3× 74 0.6× 68 556
Chunlin Ji China 16 266 1.2× 158 0.9× 84 0.6× 24 0.2× 108 0.9× 74 777
Guanghui Hu China 19 296 1.3× 28 0.2× 417 2.9× 96 0.7× 46 0.4× 119 1.1k

Countries citing papers authored by Tao Shan

Since Specialization
Citations

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

Fields of papers citing papers by Tao Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Shan. A scholar is included among the top collaborators of Tao 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 Tao Shan. Tao Shan 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.
Shan, Tao, et al.. (2025). Interpretable DWT-1DCNN-LSTM Network for Power Quality Disturbance Classification. Energies. 18(2). 231–231. 2 indexed citations
2.
Xu, Ye, Zeyu Zhang, Xiaoling Peng, et al.. (2025). Optimization of electromagnetic wave absorption properties in Ag/Fe3O4/SBA-15. Ceramics International. 51(10). 13226–13236. 2 indexed citations
3.
Xu, Ye, Zeyu Zhang, Xiaoling Peng, et al.. (2025). Optimized electromagnetic wave absorption properties of Ag/Fe3O4/SBA-15. Colloids and Surfaces A Physicochemical and Engineering Aspects. 711. 136337–136337. 2 indexed citations
4.
Shan, Tao, Xin Yang, Xuhui Yang, et al.. (2024). Efficient hole extraction to reactive oxidation sites over a Co3O4/Cs3Sb2Br9 p-n heterojunction for enhanced benzylic C(sp3)-H bond oxidation. Applied Catalysis B: Environmental. 361. 124602–124602. 10 indexed citations
5.
Xu, Ye, Xiaoling Peng, Jing Li, et al.. (2024). Optimized electromagnetic wave absorption of Ag/Fe3O4/SiO2 via magnetic field-induced synthesis. Ceramics International. 50(22). 46579–46588. 9 indexed citations
6.
Shan, Tao, et al.. (2024). Coherent integration for passive radar based on sparse representation and atomic norm minimization. IET conference proceedings.. 2023(47). 1777–1783. 1 indexed citations
7.
Shan, Tao, Xiaoqian Song, Rui Guo, et al.. (2023). Physics-Informed Supervised Residual Learning for Electromagnetic Modeling. IEEE Transactions on Antennas and Propagation. 71(4). 3393–3407. 21 indexed citations
8.
9.
Shan, Tao, Maokun Li, Fan Yang, & Shenheng Xu. (2023). Solving Combined Field Integral Equations With Physics-Informed Graph Residual Learning for EM Scattering of 3-D PEC Targets. IEEE Transactions on Antennas and Propagation. 72(1). 733–744. 6 indexed citations
10.
Salucci, Marco, Manuel Arrebola, Tao Shan, & Maokun Li. (2022). Artificial Intelligence: New Frontiers in Real-Time Inverse Scattering and Electromagnetic Imaging. IEEE Transactions on Antennas and Propagation. 70(8). 6349–6364. 61 indexed citations
11.
12.
Shan, Tao, Zhichao Lin, Xiaoqian Song, et al.. (2022). A New Approach for Solving Inverse Scattering Problems Based on Physics-informed Supervised Residual Learning. 2022 16th European Conference on Antennas and Propagation (EuCAP). 3 indexed citations
13.
Shan, Tao, Rui Guo, Maokun Li, et al.. (2021). Application of Multitask Learning for 2-D Modeling of Magnetotelluric Surveys: TE Case. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–9. 18 indexed citations
14.
Guo, Rui, Tao Shan, Xiaoqian Song, et al.. (2021). Physics Embedded Deep Neural Network for Solving Volume Integral Equation: 2-D Case. IEEE Transactions on Antennas and Propagation. 70(8). 6135–6147. 32 indexed citations
15.
Guo, Rui, Zhichao Lin, Tao Shan, et al.. (2021). Physics Embedded Deep Neural Network for Solving Full-Wave Inverse Scattering Problems. IEEE Transactions on Antennas and Propagation. 70(8). 6148–6159. 42 indexed citations
16.
Shan, Tao, et al.. (2021). A Novel Prediction Method Based on Artificial Intelligence and Internet of Things for Detecting Coronavirus Disease (COVID-19). Security and Communication Networks. 2021. 1–11. 4 indexed citations
17.
Shan, Tao, W. Tang, Maokun Li, et al.. (2020). Study on a Fast Solver for Poisson’s Equation Based on Deep Learning Technique. IEEE Transactions on Antennas and Propagation. 68(9). 6725–6733. 55 indexed citations
18.
Li, Maokun, Tao Shan, Fan Yang, & Shenheng Xu. (2019). Some Investigations on Applying Deep Learning Techniques to Solve Partial Differential Equations. 879–879. 1 indexed citations
19.
Shan, Tao, Debbie L. Sparkes, Lili Xu, et al.. (2012). Wheat lines derived from trigeneric hybrids of wheat-rye-Psathyrostachys huashanica , the potential resources for grain weight improvement. Australian Journal of Crop Science. 6(11). 1550–1557. 6 indexed citations
20.
Ma, Tianyu, Changsheng Zhang, Jingjing Zhang, Tao Shan, & Mi Yan. (2010). Magnetic force microscopy study of magnetically annealed Tb0.36Dy0.64(Fe0.85Co0.15)2 polycrystals. Journal of Applied Physics. 107(9). 14 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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