Yang Ming

970 citations
59 papers · 695 · h-index 13

Impact in

Papers in

    • Cryptography and Data Security 39
    • Privacy-Preserving Technologies in Data 16
    • Cloud Data Security Solutions 14
    • Blockchain Technology Applications and Security 10
    • Cryptography and Residue Arithmetic 6

Yang Ming

55 papers receiving 658 citations

Peers

Yang Ming
Comparison fields: 5 of 62
  • Information Systems 336
  • Artificial Intelligence 439
  • Computer Networks and Communications 293
  • Computer Vision and Pattern Recognition 69
  • Electrical and Electronic Engineering 190
Replace Yanan Zhao with:
Yanan Zhao China
Atef Ibrahim Saudi Arabia
Lukáš Malina Czechia
Liang Xue Canada
Ruitao Xie China
Xiang Cheng China
Hassan Charaf Hungary
Ibrahim Attiya Egypt
Biwen Chen China
Yang Ming relative to Yanan Zhao China Yanan Zhao's profile →
Citations per field
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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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020150
2 201954
3 201846
4 201944
5 202227
6 201825
7 201925
8 202120
9 202017
10 201917
11 200416
12 201116
13 202113
14 202412
15 201412
16 201711
17 202410
18 200910
19 202210
20 202010

About Yang Ming

Yang Ming is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 59 papers that have together received 695 indexed citations. Recurring topics across this work include Cryptography and Data Security (39 papers), Privacy-Preserving Technologies in Data (16 papers), Cloud Data Security Solutions (14 papers), Blockchain Technology Applications and Security (10 papers), Complexity and Algorithms in Graphs (10 papers), Advanced Authentication Protocols Security (9 papers), Vehicular Ad Hoc Networks (VANETs) (8 papers) and Cryptography and Residue Arithmetic (6 papers). The work is most often cited by research in Information Systems (336 citations), Artificial Intelligence (439 citations), Computer Networks and Communications (293 citations), Computer Vision and Pattern Recognition (69 citations) and Electrical and Electronic Engineering (190 citations). Yang Ming has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xiaoqin Shen, Yumin Wang, Jie Feng, Chen Chen, Lei Liu, Bodong Shang, Qingqi Pei, Mianxiong Dong, Hang Liu and Xuan‐Yi Zhang. Their work appears in journals such as IEEE Access, Sensors, IEEE Internet of Things Journal, IEEE Transactions on Dependable and Secure Computing and IEEE Transactions on Services Computing.

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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