Mingzhe Li

654 citations
43 papers · 409 indexed · h-index 11
Topics
Topic Modeling (16 papers)Natural Language Processing Techniques (10 papers)Parallel Computing and Optimization Techniques (8 papers)

In The Last Decade

Mingzhe Li

38 papers receiving 387 citations

Peers

Mingzhe Li
Comparison fields: 5 of 54
  • Computer Networks and Communications 229
  • Artificial Intelligence 133
  • Computer Vision and Pattern Recognition 81
  • Electrical and Electronic Engineering 79
  • Information Systems 69
Replace Kaoutar El Maghraoui with:
Kaoutar El Maghraoui United States
Sandra Dominikus Austria
Zheguang Zhao United States
Matt Calder United States
Xuezeng Pan China
Makoto Amamiya Japan
Vibhaalakshmi Sivaraman United States
Ke Zhai China
Nam-Su Jho South Korea
Samee U. Khan United States
Mingzhe Li relative to Kaoutar El Maghraoui United States Kaoutar El Maghraoui's profile →
Citations per field
00.5×3.8×
Kaoutar El Maghraoui · 1×
Citations per year

Countries citing papers authored by Mingzhe Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingzhe Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingzhe Li

This figure shows the co-authorship network connecting the top 25 collaborators of Mingzhe Li. A scholar is included among the top collaborators of Mingzhe 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 Mingzhe Li. Mingzhe 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
#WorkIndexed citations
1 2
2 0
3 0
4 1
5 3
6 5
7 3
8 3
9 5
10 4
11 2
12 19
13 46
14 3
15 7
16 10
17 17
18 13
19 15
20 61

About Mingzhe Li

Mingzhe Li is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, having authored 43 papers that have together received 409 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (10 papers) and Parallel Computing and Optimization Techniques (8 papers). The work is most often cited by research in Computer Networks and Communications (229 citations), Hardware and Architecture (66 citations) and Artificial Intelligence (133 citations). Mingzhe Li has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Mark Claypool, Robert Kinicki, Dhabaleswar K. Panda, Rui Yan, Xiuying Chen, Shen Gao, Xiaoyi Lu, James H. Nichols, Dongyan Zhao and Jithin Jose. Their work appears in journals such as Electrochimica Acta, Physics in Medicine and Biology and Measurement.

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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