Shaohua Pan

1.5k total citations
102 papers, 1.0k citations indexed

About

Shaohua Pan is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Shaohua Pan has authored 102 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Numerical Analysis, 62 papers in Computational Theory and Mathematics and 31 papers in Computational Mechanics. Recurrent topics in Shaohua Pan's work include Advanced Optimization Algorithms Research (67 papers), Optimization and Variational Analysis (45 papers) and Sparse and Compressive Sensing Techniques (29 papers). Shaohua Pan is often cited by papers focused on Advanced Optimization Algorithms Research (67 papers), Optimization and Variational Analysis (45 papers) and Sparse and Compressive Sensing Techniques (29 papers). Shaohua Pan collaborates with scholars based in China, Taiwan and Canada. Shaohua Pan's co-authors include Jein-Shan Chen, Barry C. Sanders, Chun-Hsu Ko, Defeng Sun, Yulan Liu, K. T. Lu, Xingsi Li, Rongping Wang, Xiaoguang Wang and Xiaolan Liu and has published in prestigious journals such as Journal of Applied Physics, Computer Methods in Applied Mechanics and Engineering and Mathematics of Computation.

In The Last Decade

Shaohua Pan

97 papers receiving 971 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaohua Pan China 18 537 499 192 172 143 102 1.0k
Bing Zheng China 18 324 0.6× 582 1.2× 250 1.3× 149 0.9× 212 1.5× 106 978
Zlatko Drmač Croatia 16 251 0.5× 515 1.0× 121 0.6× 247 1.4× 139 1.0× 41 1.1k
Michiel E. Hochstenbach Netherlands 17 280 0.5× 487 1.0× 182 0.9× 58 0.3× 145 1.0× 69 1.0k
Yuji Nakatsukasa United Kingdom 17 195 0.4× 376 0.8× 144 0.8× 170 1.0× 109 0.8× 73 748
Jérôme Malick France 17 451 0.8× 482 1.0× 378 2.0× 152 0.9× 29 0.2× 46 1.0k
Marko D. Petković Serbia 21 288 0.5× 391 0.8× 100 0.5× 278 1.6× 171 1.2× 96 1.7k
Benedetta Morini Italy 19 612 1.1× 538 1.1× 331 1.7× 98 0.6× 115 0.8× 56 916
Krešimir Veselić Germany 16 419 0.8× 757 1.5× 131 0.7× 83 0.5× 213 1.5× 56 1.2k
Linzhang Lu China 17 494 0.9× 793 1.6× 289 1.5× 36 0.2× 303 2.1× 98 1.1k

Countries citing papers authored by Shaohua Pan

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohua Pan. A scholar is included among the top collaborators of Shaohua Pan 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 Shaohua Pan. Shaohua Pan 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.
Pan, Shaohua, et al.. (2025). DiffCap: Diffusion-Based Real-Time Human Motion Capture Using Sparse IMUs and a Monocular Camera. IEEE Transactions on Visualization and Computer Graphics. 31(12). 10272–10283.
2.
Pan, Shaohua, et al.. (2025). Improving Global Motion Estimation in Sparse IMU-based Motion Capture with Physics. ACM Transactions on Graphics. 44(4). 1–16.
3.
Pan, Shaohua, et al.. (2025). Factorization model with total variation regularizer for image reconstruction and subgradient algorithm. Pattern Recognition. 170. 112038–112038. 1 indexed citations
4.
Pan, Shaohua, et al.. (2024). Twice epi-differentiablity and parabolic regularity of a class of non-amenable functions. Optimization. 75(1). 1–34.
5.
Chang, Yu-Lin, Jein-Shan Chen, & Shaohua Pan. (2016). Symmetric cone monotone functions and symmetric cone convex functions. 17(3). 499–512. 1 indexed citations
6.
Chang, Yu-Lin, Jein-Shan Chen, & Shaohua Pan. (2012). Strong semismoothness of fischer-burmeister complementarity function associated with symmetric cones. 13(4). 799–806. 1 indexed citations
7.
Chen, Jein-Shan & Shaohua Pan. (2012). A survey on SOC complementarity functions and solution methods for SOCPs and SOCCPs. 8(1). 33–74. 43 indexed citations
8.
Pan, Shaohua, et al.. (2012). SOC-monotone and SOC-convex functions vs. matrix-monotone and matrix-convex functions. Linear Algebra and its Applications. 437(5). 1264–1284. 4 indexed citations
9.
Chen, Jein-Shan, et al.. (2012). Using schur complement theorem to prove convexity of some SOC-functions. 13(3). 421–431. 5 indexed citations
10.
Pan, Shaohua, et al.. (2011). A merit function method for infinite-dimensional SOCCPs. Journal of Mathematical Analysis and Applications. 383(1). 159–178. 5 indexed citations
11.
Chen, Jein-Shan, et al.. (2010). Numerical comparisons of two effective methods for mixed complementarity problems. Journal of Computational and Applied Mathematics. 234(3). 667–683. 6 indexed citations
12.
Pan, Shaohua & Jein-Shan Chen. (2010). A proximal gradient descent method for the extended second-order cone linear complementarity problem. Journal of Mathematical Analysis and Applications. 366(1). 164–180. 8 indexed citations
13.
Pan, Shaohua & Jein-Shan Chen. (2009). A least-square semismooth Newton method for the second-order cone complementarity problem. Optimization methods & software. 26(1). 1–22. 3 indexed citations
14.
Chen, Jein-Shan, et al.. (2009). An R-linearly convergent derivative-free algorithm for nonlinear complementarity problems based on the generalized Fischer–Burmeister merit function. Journal of Computational and Applied Mathematics. 232(2). 455–471. 22 indexed citations
15.
Pan, Shaohua & Jein-Shan Chen. (2009). A one-parametric class of merit functions for the symmetric cone complementarity problem. Journal of Mathematical Analysis and Applications. 355(1). 195–215. 28 indexed citations
16.
Pan, Shaohua, et al.. (2009). The penalized Fischer-Burmeister SOC complementarity function. Computational Optimization and Applications. 49(3). 457–491. 4 indexed citations
17.
Chen, Jein-Shan & Shaohua Pan. (2008). A proximal-like algorithm for a class of nonconvex programming. 4(2). 319–333. 7 indexed citations
18.
Chen, Jein-Shan & Shaohua Pan. (2007). A regularization semismooth Newton method based on the generalized Fischer–Burmeister function for P0-NCPs. Journal of Computational and Applied Mathematics. 220(1-2). 464–479. 18 indexed citations
19.
Pan, Shaohua & Jein-Shan Chen. (2007). Entropy-like proximal algorithms based on a second-order homogeneous distance function for quasi-convex programming. Journal of Global Optimization. 39(4). 555–575. 13 indexed citations
20.
Wang, Rongping, Shaohua Pan, Hao Zhang, et al.. (1998). Structural characteristics of CeO2 films grown on biaxially textured nickel (001). Journal of Applied Physics. 84(4). 1994–1997. 12 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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