Ming Li

465 papers receiving 8.5k citations

Ming Li's Hit Papers

Variational mode decomposition denoising combined the detrended fluctuation analysis 2016 · 286 citations
2860+11+22Years since publication100200300400500

Peers

Ming Li
Comparison fields: 5 of 202
  • Modeling and Simulation 588
  • Statistical and Nonlinear Physics 872
  • Computer Vision and Pattern Recognition 1.3k
  • Signal Processing 664
  • Computational Theory and Mathematics 955
Replace Dirk P. Kroese with:
Dirk P. Kroese Australia
Layne T. Watson United States
Jeffrey C. Lagarias United States
Luigi Fortuna Italy
Sean Meyn United States
Irwin W. Sandberg United States
J.B. Moore Australia
George Cybenko United States
Fuad E. Alsaadi Saudi Arabia
Hong Wang China
Ming Li relative to Dirk P. Kroese Australia Dirk P. Kroese's profile →
Citations per field
00.5×6.4×
Dirk P. Kroese · 1×
Citations per year

Countries citing papers authored by Ming Li

Since Specialization
Citations

This map shows the geographic impact of 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 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 Ming Li more than expected).

Fields of papers citing papers by Ming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming Li Line = papers co-authored together Ming Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 494 papers — load more, or switch the sort, to bring in the rest.

#Work
1
2D-LDA: A statistical linear discriminant analysis for image matrix
Hit paper breakdown →
2004544
2
An Introduction to Kolmogorov Complexity and Its Applications
Hit paper breakdown →
1993527
3 2007364
4 1998346
5 2018309
6
Variational mode decomposition denoising combined the detrended fluctuation analysis
Hit paper breakdown →
2016286
7 2009208
8 2017137
9 2002135
10 2008133
11 2018125
12 1987102
13 201793
14 200984
15 199081
16 200680
17 200379
18 200876
19 201571
20 201068

About Ming Li

Ming Li is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Mechanics of Materials, having authored 494 papers that have together received 8.9k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (37 papers), Network Traffic and Congestion Control (32 papers), Fractional Differential Equations Solutions (31 papers), Blind Source Separation Techniques (20 papers), Complex Network Analysis Techniques (19 papers), Network Security and Intrusion Detection (18 papers), Computability, Logic, AI Algorithms (18 papers) and Topology Optimization in Engineering (16 papers). The work is most often cited by research in Modeling and Simulation (588 citations), Statistical and Nonlinear Physics (872 citations), Computer Vision and Pattern Recognition (1.3k citations), Signal Processing (664 citations) and Computational Theory and Mathematics (955 citations). Ming Li has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Paul Vitányi, Baozong Yuan, Wei Zhao, Sungbin Lim, Yang Shen, Yuanhua Lin, Ce‐Wen Nan, Charles H. Bennett, Wojciech H. Zurek and Péter Gács. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Computer-Aided Design, Symmetry, IEEE Access and Mathematical Problems in Engineering.

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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