Mingzhe Li

864 citations
49 papers · 519 indexed · h-index 13
Topics
Tea Polyphenols and Effects (8 papers)Fermentation and Sensory Analysis (6 papers)Blockchain Technology Applications and Security (5 papers)

In The Last Decade

Mingzhe Li

44 papers receiving 495 citations

Peers

Mingzhe Li
Comparison fields: 5 of 72
  • Computer Networks and Communications 240
  • Information Systems 121
  • Electrical and Electronic Engineering 120
  • Computer Vision and Pattern Recognition 104
  • Artificial Intelligence 53
Replace Masato Uchida with:
Masato Uchida Japan
Haifeng Qian China
Javed Ferzund Pakistan
Xing Gao United States
Zhiyan Chen Canada
G. Santhosh Kumar India
Fábio Diniz Rossi Brazil
Hamid Mala Iran
Priyadarshini Patil India
Chunlai Du China
Mingzhe Li relative to Masato Uchida Japan Masato Uchida's profile →
Citations per field
00.5×10×16.2×
Masato Uchida · 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 0
2 0
3 1
4 2
5 1
6 3
7 0
8 4
9 35
10 13
11 7
12 29
13 13
14 10
15 13
16 1
17 14
18 4
19
Design of SIP security mechanism on application-layer
2
20
Measuring the Queue Sizes of IEEE 802.11 Wireless Access Points
0

About Mingzhe Li

Mingzhe Li is a scholar working on Computer Networks and Communications, Computer Science Applications and Signal Processing, having authored 49 papers that have together received 519 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (8 papers), Fermentation and Sensory Analysis (6 papers) and Blockchain Technology Applications and Security (5 papers). The work is most often cited by research in Computer Networks and Communications (240 citations), Information Systems (121 citations) and Computer Vision and Pattern Recognition (104 citations). Mingzhe Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mark Claypool, Robert Kinicki, Jin Zhang, Wei Wang, Yuxing Mao, Siyu He, Yongzhong He, Hao Su, Jun Zhang and Xiaoyi Lu. Their work appears in journals such as Scientific Reports, IEEE Access and Frontiers in Plant Science.

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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