M. Li

12 total papers · 448 total citations
11 papers, 363 citations indexed

About

M. Li is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, M. Li has authored 11 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 7 papers in Statistics, Probability and Uncertainty and 6 papers in Management Science and Operations Research. Recurrent topics in M. Li's work include Advanced Multi-Objective Optimization Algorithms (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Optimal Experimental Design Methods (5 papers). M. Li is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Optimal Experimental Design Methods (5 papers). M. Li collaborates with scholars based in United States and Netherlands. M. Li's co-authors include Shapour Azarm, Saleh Al Hashimi, N. Williams, Jeffrey Rambo, Yogendra Joshi, Carol Smidts, George W. Mulholland, Ali Almansoori, Michael R. Zachariah and Suvajyoti Guha and has published in prestigious journals such as Analytical Chemistry, Structural and Multidisciplinary Optimization and Journal of Mechanical Design.

In The Last Decade

M. Li

11 papers receiving 353 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. Li	229	187	135	66	49	11	363
Dipankar Ghosh	232 1.0×	129 0.7×	111 0.8×	68 1.0×	72 1.5×	10	383
Jiaxiang Yi	208 0.9×	220 1.2×	90 0.7×	34 0.5×	95 1.9×	15	342
Glynn J. Sundararaj	219 1.0×	119 0.6×	93 0.7×	52 0.8×	56 1.1×	11	326
P. W. Aitchison	156 0.7×	82 0.4×	79 0.6×	58 0.9×	59 1.2×	23	371
Jin Wu	238 1.0×	91 0.5×	89 0.7×	61 0.9×	32 0.7×	11	360
Kurt Hacker	151 0.7×	83 0.4×	74 0.5×	69 1.0×	35 0.7×	24	366
Philipp Limbourg	127 0.6×	178 1.0×	48 0.4×	20 0.3×	60 1.2×	14	390
Kais Zaman	164 0.7×	257 1.4×	125 0.9×	30 0.5×	70 1.4×	22	358
Rémi Lafage	124 0.5×	75 0.4×	41 0.3×	40 0.6×	19 0.4×	10	322
Parviz Mohammad Zadeh	127 0.6×	73 0.4×	31 0.2×	97 1.5×	51 1.0×	18	381

Countries citing papers authored by M. Li

Since Specialization

Citations

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

Fields of papers citing papers by M. Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Li

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

All Works

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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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