Ming Li

10.8k total citations · 2 hit papers
450 papers, 7.9k citations indexed

About

Ming Li is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Ming Li has authored 450 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Networks and Communications, 63 papers in Electrical and Electronic Engineering and 61 papers in Artificial Intelligence. Recurrent topics in Ming Li's work include Complex Systems and Time Series Analysis (33 papers), Fractional Differential Equations Solutions (31 papers) and Network Traffic and Congestion Control (29 papers). Ming Li is often cited by papers focused on Complex Systems and Time Series Analysis (33 papers), Fractional Differential Equations Solutions (31 papers) and Network Traffic and Congestion Control (29 papers). Ming Li collaborates with scholars based in China, United States and Macao. Ming Li's co-authors include Paul Vitányi, Baozong Yuan, Wei Zhao, Sungbin Lim, Ce‐Wen Nan, Yuanhua Lin, Yang Shen, Gongliu Yang, Yuanyuan Liu and Hongliang Yin and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Ming Li

425 papers receiving 7.6k citations

Hit Papers

2D-LDA: A statistical linear discriminant analysis for im... 2004 2026 2011 2018 2004 2016 100 200 300 400

Peers

Ming Li
Comparison fields: 5 of 203
  • Artificial Intelligence 1.2k
  • Computer Vision and Pattern Recognition 1.1k
  • Electrical and Electronic Engineering 1.0k
  • Computer Networks and Communications 941
  • Control and Systems Engineering 888
Replace Dirk P. Kroese with:
Dirk P. Kroese Australia
Shuang Li China
Reuven Y. Rubinstein Israel
Jeffrey C. Lagarias United States
Zenghui Wang South Africa
Mohammad Bagher Menhaj Iran
Timothy A. Davis United States
K.F. Man Hong Kong
Layne T. Watson United States
Thomas F. Coleman United States
Dirk P. Kroese Australia View profile →
Citations per field, relative to Ming Li
Ming Li · 1×
Citations per year, relative to Ming Li
Ming Li · 1×

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-authorship network of co-authors of Ming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Li. A scholar is included among the top collaborators of 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 Ming Li. Ming Li 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
# Work Indexed citations
1 4
2 0
3 0
4 6
5 1
6 3
7 4
8 1
9 6
10 23
11 10
12 10
13 57
14 13
15 14
16
Hand Vein Images Enhancement Based on Local Gray-level Information Histogram
4
17 66
18 10
19 15
20 4

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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