Yang Ming

1.1k citations
64 papers · 807 · h-index 15

Impact in

Papers in

    • Cryptography and Data Security 42
    • Privacy-Preserving Technologies in Data 18
    • Cloud Data Security Solutions 16
    • Blockchain Technology Applications and Security 10
    • Cryptography and Residue Arithmetic 7

Yang Ming

60 papers receiving 768 citations

Peers

Yang Ming
Comparison fields: 5 of 61
  • Information Systems 376
  • Artificial Intelligence 491
  • Computer Networks and Communications 334
  • Electrical and Electronic Engineering 210
  • Computer Vision and Pattern Recognition 79
Replace Yanan Zhao with:
Yanan Zhao China
Lewis Tseng United States
Ruitao Xie China
Biwen Chen China
Mojtaba Bisheh-Niasar United States
Liang Xue Canada
Aldar C.-F. Chan Singapore
Xiao Tan China
Yang Ming relative to Yanan Zhao China Yanan Zhao's profile →
Citations per field
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Yanan Zhao · 1×
Citations per year

Countries citing papers authored by Yang Ming

Since Specialization
Citations

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

Fields of papers citing papers by Yang Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yang Ming, 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 Yang Ming Line = papers co-authored together Yang Ming links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020163
2 201957
3 201851
4 201946
5 201831
6 201927
7 202227
8 202123
9 200421
10 202019
11 201918
12 202418
13 201117
14 202416
15 202215
16 202114
17 200912
18 200812
19 201412
20 200711

About Yang Ming

Yang Ming is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 807 indexed citations. Recurring topics across this work include Cryptography and Data Security (42 papers), Privacy-Preserving Technologies in Data (18 papers), Cloud Data Security Solutions (16 papers), Complexity and Algorithms in Graphs (11 papers), Blockchain Technology Applications and Security (10 papers), Advanced Authentication Protocols Security (10 papers), Vehicular Ad Hoc Networks (VANETs) (9 papers) and Cryptography and Residue Arithmetic (7 papers). The work is most often cited by research in Information Systems (376 citations), Artificial Intelligence (491 citations), Computer Networks and Communications (334 citations), Electrical and Electronic Engineering (210 citations) and Computer Vision and Pattern Recognition (79 citations). Yang Ming has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xiaoqin Shen, Yumin Wang, Jie Feng, Bodong Shang, Hang Liu, Mianxiong Dong, Lei Liu, Chen Chen, Qingqi Pei and Xuan‐Yi Zhang. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, Sensors, IEEE Transactions on Dependable and Secure Computing and IEEE Transactions on Information Forensics and Security.

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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