Ping Sun

1.5k total citations
44 papers, 1.1k citations indexed

About

Ping Sun is a scholar working on Artificial Intelligence, Computational Mechanics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ping Sun has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Computational Mechanics and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ping Sun's work include Machine Learning and ELM (8 papers), Physics of Superconductivity and Magnetism (8 papers) and Advanced Numerical Methods in Computational Mathematics (6 papers). Ping Sun is often cited by papers focused on Machine Learning and ELM (8 papers), Physics of Superconductivity and Magnetism (8 papers) and Advanced Numerical Methods in Computational Mathematics (6 papers). Ping Sun collaborates with scholars based in China, United States and United Kingdom. Ping Sun's co-authors include Gabriel Kotliar, Shuihua Wang‎, Yudong Zhang, Zhendong Luo, Preetha Phillips, Jianfei Yang, Yanjie Zhou, Hong Li, Xin Yao and Zhengchao Dong and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Physical Review B.

In The Last Decade

Ping Sun

43 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Sun China 18 294 221 220 201 180 44 1.1k
Peter Oswald Germany 24 114 0.4× 151 0.7× 184 0.8× 121 0.6× 6 0.0× 80 2.0k
Harald Köstler Germany 19 24 0.1× 60 0.3× 156 0.7× 84 0.4× 9 0.1× 86 1.2k
Pablo Padilla Spain 25 8 0.0× 85 0.4× 239 1.1× 221 1.1× 260 1.4× 174 2.1k
Braxton Osting United States 15 35 0.1× 64 0.3× 66 0.3× 42 0.2× 10 0.1× 55 540
Yun Zhang China 17 142 0.5× 352 1.6× 90 0.4× 297 1.5× 4 0.0× 134 1.2k
Panagiotis Kosmas United Kingdom 25 43 0.1× 163 0.7× 33 0.1× 29 0.1× 15 0.1× 143 2.6k
Hong Zhao China 23 84 0.3× 558 2.5× 44 0.2× 125 0.6× 5 0.0× 141 2.1k
J. Hérault France 15 40 0.1× 154 0.7× 523 2.4× 352 1.8× 4 0.0× 37 1.3k
Soumyajit Mandal United States 16 18 0.1× 159 0.7× 58 0.3× 109 0.5× 6 0.0× 155 2.6k
James L. Blue United States 16 109 0.4× 387 1.8× 137 0.6× 99 0.5× 2 0.0× 50 948

Countries citing papers authored by Ping Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ping Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Sun. A scholar is included among the top collaborators of Ping 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 Ping Sun. Ping 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.
Gu, Jinan, et al.. (2025). The end-to-end chip surface defect segmentation method based on the diffusion model and attention mechanism. Engineering Applications of Artificial Intelligence. 155. 111131–111131. 2 indexed citations
2.
Sun, Ping & Liming Yang. (2021). Low-rank supervised and semi-supervised multi-metric learning for classification. Knowledge-Based Systems. 236. 107787–107787. 11 indexed citations
3.
Zhang, Yudong, Genlin Ji, Jiquan Yang, et al.. (2016). Preliminary research on abnormal brain detection by wavelet-energy and quantum- behaved PSO. Technology and Health Care. 24(2_suppl). S641–9. 38 indexed citations
4.
Zhang, Yudong, Jiquan Yang, Jianfei Yang, Aijun Liu, & Ping Sun. (2016). A Novel Compressed Sensing Method for Magnetic Resonance Imaging: Exponential Wavelet Iterative Shrinkage-Thresholding Algorithm with Random Shift. International Journal of Biomedical Imaging. 2016. 1–10. 21 indexed citations
5.
Zhang, Yudong, Shuihua Wang‎, Ping Sun, & Preetha Phillips. (2015). Pathological brain detection based on wavelet entropy and Hu moment invariants. Bio-Medical Materials and Engineering. 26(1_suppl). S1283–90. 118 indexed citations
6.
Wang‎, Shuihua, Yi Chen, Xingxing Zhou, et al.. (2015). Pathological Brain Detection by Wavelet-Energy and Fuzzy Support Vector Machine. 13. 409–412. 4 indexed citations
7.
An, Jing, Zhendong Luo, Hong Li, & Ping Sun. (2015). Reduced-order extrapolation spectral-finite difference scheme based on POD method and error estimation for three-dimensional parabolic equation. Frontiers of Mathematics in China. 10(5). 1025–1040. 25 indexed citations
8.
Luo, Zhendong, Hong Li, & Ping Sun. (2013). A fully discrete stabilized mixed finite volume element formulation for the non-stationary conduction–convection problem. Journal of Mathematical Analysis and Applications. 404(1). 71–85. 16 indexed citations
9.
10.
Li, Hong, Ping Sun, Yueqiang Shang, & Zhendong Luo. (2012). A FULLY DISCRETE FINITE VOLUME ELEMENT FORMULATION AND NUMERICAL SIMULATIONS FOR VISCOELASTIC EQUATIONS. 34(4). 413–424. 2 indexed citations
11.
Sun, Ping & Andrew J. Schofield. (2012). Two operational modes in the perception of shape from shading revealed by the effects of edge information in slant settings. Journal of Vision. 12(1). 12–12. 21 indexed citations
12.
Li, Hong, Zhendong Luo, Ping Sun, & Jing An. (2012). A finite volume element formulation and error analysis for the non-stationary conduction–convection problem. Journal of Mathematical Analysis and Applications. 396(2). 864–879. 8 indexed citations
13.
Luo, Zhendong, Hong Li, Ping Sun, & Junqiang Gao. (2012). A reduced-order finite difference extrapolation algorithm based on POD technique for the non-stationary Navier–Stokes equations. Applied Mathematical Modelling. 37(7). 5464–5473. 29 indexed citations
14.
Sun, Ping & Xin Yao. (2010). Sparse Approximation Through Boosting for Learning Large Scale Kernel Machines. IEEE Transactions on Neural Networks. 21(6). 883–894. 26 indexed citations
15.
Schofield, Andrew J., et al.. (2010). What is second-order vision for? Discriminating illumination versus material changes. Journal of Vision. 10(9). 2–2. 27 indexed citations
16.
Sun, Ping & Gabriel Kotliar. (2005). Understanding the Heavy Fermion Phenomenology from a Microscopic Model. Physical Review Letters. 95(1). 16402–16402. 30 indexed citations
17.
Sun, Ping & Gabriel Kotliar. (2004). Many-Body Approximation Scheme beyond GW. Physical Review Letters. 92(19). 196402–196402. 58 indexed citations
18.
Sun, Ping & Gabriel Kotliar. (2003). Extended Dynamical Mean Field Theory Study of the Periodic Anderson Model. Physical Review Letters. 91(3). 37209–37209. 44 indexed citations
19.
Sun, Ping & X. B. Yang. (2000). Dynamic behaviors of the Ricker population model under a set of randomized perturbations. Mathematical Biosciences. 164(2). 147–159. 12 indexed citations
20.
Sun, Ping & L. V. Madden. (1997). Using a Normal Approximation to Test for the Binomial Distribution. Biometrical Journal. 39(5). 533–544. 2 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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