Sai-Ming Li

25 total papers · 1.4k total citations
21 papers, 1.0k citations indexed

About

Sai-Ming Li is a scholar working on Control and Systems Engineering, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Sai-Ming Li has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 12 papers in Aerospace Engineering and 4 papers in Computer Networks and Communications. Recurrent topics in Sai-Ming Li's work include Adaptive Control of Nonlinear Systems (12 papers), Advanced Control Systems Optimization (6 papers) and Fault Detection and Control Systems (5 papers). Sai-Ming Li is often cited by papers focused on Adaptive Control of Nonlinear Systems (12 papers), Advanced Control Systems Optimization (6 papers) and Fault Detection and Control Systems (5 papers). Sai-Ming Li collaborates with scholars based in United States. Sai-Ming Li's co-authors include Raman K. Mehra, Jovan Boskovic, R.К. Mehra, Randal W. Beard, Timothy W. McLain, David W. Casbeer, R. Prasanth, S. Seereeram and Kumpati S. Narendra and has published in prestigious journals such as Journal of Guidance Control and Dynamics, AIAA Guidance, Navigation, and Control Conference and Exhibit and Guidance, Navigation, and Control Conference and Exhibit.

In The Last Decade

Sai-Ming Li

21 papers receiving 977 citations

Author Peers

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

Author Last Decade Papers Cites
Sai-Ming Li 663 537 230 151 59 21 1.0k
Morten Bisgaard 505 0.8× 598 1.1× 145 0.6× 229 1.5× 56 0.9× 31 999
Fulvia Quagliotti 355 0.5× 530 1.0× 119 0.5× 278 1.8× 46 0.8× 72 824
Guillaume Ducard 905 1.4× 556 1.0× 101 0.4× 207 1.4× 201 3.4× 41 1.2k
Jianfa Wu 305 0.5× 543 1.0× 190 0.8× 334 2.2× 157 2.7× 37 898
Stefan Bieniawski 209 0.3× 465 0.9× 354 1.5× 193 1.3× 168 2.8× 40 874
Yuesong Mei 360 0.5× 554 1.0× 206 0.9× 539 3.6× 109 1.8× 18 904
Nicolas Guénard 473 0.7× 657 1.2× 145 0.6× 559 3.7× 47 0.8× 15 1.0k
Fan Zhang 287 0.4× 548 1.0× 228 1.0× 59 0.4× 38 0.6× 53 948
Patricio J. Cruz 722 1.1× 420 0.8× 334 1.5× 441 2.9× 93 1.6× 42 1.1k
Brad Seanor 560 0.8× 619 1.2× 222 1.0× 180 1.2× 247 4.2× 49 1.1k

Countries citing papers authored by Sai-Ming Li

Since Specialization
Citations

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

Fields of papers citing papers by Sai-Ming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sai-Ming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Sai-Ming Li. A scholar is included among the top collaborators of Sai-Ming 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 Sai-Ming Li. Sai-Ming 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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