Jiming Peng

1.9k total citations
63 papers, 1.3k citations indexed

About

Jiming Peng is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Jiming Peng has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Numerical Analysis, 23 papers in Computational Theory and Mathematics and 14 papers in Computational Mechanics. Recurrent topics in Jiming Peng's work include Advanced Optimization Algorithms Research (26 papers), Sparse and Compressive Sensing Techniques (13 papers) and Optimization and Variational Analysis (11 papers). Jiming Peng is often cited by papers focused on Advanced Optimization Algorithms Research (26 papers), Sparse and Compressive Sensing Techniques (13 papers) and Optimization and Variational Analysis (11 papers). Jiming Peng collaborates with scholars based in United States, China and Canada. Jiming Peng's co-authors include Tamás Terlaky, C. Roos, Lopamudra Mukherjee, Wei Yu, Vikas Singh, Ya-xiang Yuan, Masao Fukushima, Jinhui Xu, Hezhi Luo and Hans D. Mittelmann and has published in prestigious journals such as European Journal of Operational Research, International Journal of Radiation Oncology*Biology*Physics and Geophysics.

In The Last Decade

Jiming Peng

61 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiming Peng United States	19	714	700	229	220	201	63	1.3k
Houduo Qi United Kingdom	23	737 1.0×	698 1.0×	130 0.6×	431 2.0×	218 1.1×	69	1.4k
Jérôme Malick France	17	451 0.6×	482 0.7×	111 0.5×	378 1.7×	152 0.8×	46	1.0k
Yanqin Bai China	23	998 1.4×	973 1.4×	158 0.7×	493 2.2×	182 0.9×	108	1.8k
Naihua Xiu China	24	1.1k 1.6×	1.2k 1.8×	182 0.8×	558 2.5×	136 0.7×	124	2.0k
Wenyu Sun China	14	870 1.2×	669 1.0×	81 0.4×	422 1.9×	212 1.1×	69	1.4k
Daniel P. Robinson United States	18	487 0.7×	380 0.5×	430 1.9×	472 2.1×	393 2.0×	66	1.3k
Ting Kei Pong Hong Kong	18	539 0.8×	522 0.7×	228 1.0×	806 3.7×	203 1.0×	54	1.4k
Guanglu Zhou Australia	21	836 1.2×	1.1k 1.6×	76 0.3×	321 1.5×	73 0.4×	68	1.8k
I. D. Coope New Zealand	13	343 0.5×	312 0.4×	110 0.5×	113 0.5×	145 0.7×	33	773
Fazlollah Soleymani Iran	27	1.9k 2.7×	1.2k 1.8×	103 0.4×	202 0.9×	139 0.7×	177	2.6k

Countries citing papers authored by Jiming Peng

Since Specialization

Citations

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

Fields of papers citing papers by Jiming Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiming Peng

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

All Works

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20 of 20 papers shown

Peng, Jiming, et al.. (2025). New biconvex optimization for planning of battery energy storage systems. Computational Optimization and Applications. 92(3). 863–887.

Li, Ang, Jiming Peng, & Lei Fan. (2023). Decentralized Optimal Operations of Power Distribution System with Networked Microgrids. 1–5. 2 indexed citations

Li, Ang, et al.. (2022). A Multi-Period Curve Fitting Model for Short-Term Prediction of the COVID-19 Spread in the U.S. Metropolitans. Frontiers in Public Health. 9. 809877–809877. 2 indexed citations

Peng, Jiming, Moira Rushton, Christopher Johnson, et al.. (2019). An international survey of healthcare providers’ knowledge of cardiac complications of cancer treatments. Cardio-Oncology. 5(1). 12–12. 26 indexed citations

Luo, Hezhi, et al.. (2018). New global algorithms for quadratic programming with a few negative eigenvalues based on alternative direction method and convex relaxation. Mathematical Programming Computation. 11(1). 119–171. 23 indexed citations

Chen, Xin, Jiming Peng, & Shuzhong Zhang. (2012). Sparse solutions to random standard quadratic optimization problems. Mathematical Programming. 141(1-2). 273–293. 17 indexed citations

Mukherjee, Lopamudra, Vikas Singh, & Jiming Peng. (2011). Scale invariant cosegmentation for image groups. PubMed. 1881–1888. 92 indexed citations

Peng, Jiming. (2010). Evaluation on Cancer Registry in Shenzhen,Guangdong Province. 2 indexed citations

Peng, Jiming, et al.. (2010). Noise reduction and drift removal using least-squares support vector regression with the implicit bias term. Geophysics. 75(6). V119–V127. 14 indexed citations

10.

Mukherjee, Lopamudra, Vikas Singh, Jiming Peng, & Chris Hinrichs. (2010). Learning kernels for variants of normalized cuts: Convex relaxations and applications. PubMed. 7. 3145–3152. 7 indexed citations

11.

Peng, Jiming, C. Roos, & Tamás Terlaky. (2009). Self-Regularity. Princeton University Press eBooks. 2 indexed citations

12.

Singh, Vikas Pratap, Lopamudra Mukherjee, Jiming Peng, & Jinhui Xu. (2009). Ensemble clustering using semidefinite programming with applications. Machine Learning. 79(1-2). 177–200. 44 indexed citations

13.

Peng, Jiming, C. Roos, & Tamás Terlaky. (2009). Self-Regularity. Princeton University Press eBooks. 4 indexed citations

14.

Peng, Jiming, et al.. (2008). A confidence voting process for ranking problems based on support vector machines. Annals of Operations Research. 166(1). 23–38. 7 indexed citations

15.

Du, Peng, Jiming Peng, & Tamás Terlaky. (2008). Self-adaptive support vector machines: modelling and experiments. Computational Management Science. 6(1). 41–51. 6 indexed citations

16.

Peng, Jiming & Wei Yu. (2007). Approximating K‐means‐type Clustering via Semidefinite Programming. SIAM Journal on Optimization. 18(1). 186–205. 89 indexed citations

17.

Peng, Jiming, C. Roos, & Tamás Terlaky. (2002). Self-regular functions and new search directions for linear and semidefinite optimization. Mathematical Programming. 93(1). 129–171. 165 indexed citations

18.

Peng, Jiming, C. Roos, & Tamás Terlaky. (2002). A new class of polynomial primal–dual methods for linear and semidefinite optimization. European Journal of Operational Research. 143(2). 234–256. 38 indexed citations

19.

Peng, Jiming, et al.. (1999). A non-interior continuation method for generalized linear complementarity problems. Mathematical Programming. 86(3). 533–563. 62 indexed citations

20.

Peng, Jiming. (1997). Equivalence of variational inequality problems to unconstrained minimization. Mathematical Programming. 78(3). 347–355. 81 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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