Yunming Liao

434 citations
21 papers · 258 indexed · h-index 10
Topics
Privacy-Preserving Technologies in Data (18 papers)Stochastic Gradient Optimization Techniques (12 papers)Cryptography and Data Security (5 papers)
Partner nations
ChinaUnited States

In The Last Decade

Yunming Liao

15 papers receiving 257 citations

Peers

Yunming Liao
Comparison fields: 5 of 32
  • Artificial Intelligence 224
  • Computer Networks and Communications 64
  • Information Systems 38
  • Electrical and Electronic Engineering 29
  • Computer Vision and Pattern Recognition 25
Replace Mayank Rathee with:
Mayank Rathee India
Jinhyun So United States
Thibault Gisselbrecht France
David Leroy France
Si‐Ahmed Naas Finland
Chengfang Fang Singapore
Giulio Zhou United States
Fabian Boemer United States
Fernando Sáenz-Pérez Spain
Amir Kantor Israel
Yunming Liao relative to Mayank Rathee India Mayank Rathee's profile →
Citations per field
00.5×1.5×2.3×
Mayank Rathee · 1×
Citations per year

Countries citing papers authored by Yunming Liao

Since Specialization
Citations

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

Fields of papers citing papers by Yunming Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunming Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Yunming Liao. A scholar is included among the top collaborators of Yunming Liao 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 Yunming Liao. Yunming Liao 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 0
4 0
5 0
6 0
7 9
8 1
9 2
10 6
11 10
12 9
13 15
14 9
15 20
16 3
17 8
18 37
19 70
20 18

About Yunming Liao

Yunming Liao is a scholar working on Artificial Intelligence, Computer Science Applications and Building and Construction, having authored 21 papers that have together received 258 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (18 papers), Stochastic Gradient Optimization Techniques (12 papers) and Cryptography and Data Security (5 papers). The work is most often cited by research in Artificial Intelligence (224 citations), Computer Science Applications (21 citations) and Computer Networks and Communications (64 citations). Yunming Liao has collaborated with scholars based in China and United States. Frequent co-authors include Lun Wang, Hongli Xu, Yang Xu, Jianchun Liu, Chunming Qiao, Qian Chen, Yang Xu, Zhiyuan Wang, Chen Qian and Hongli Xu. Their work appears in journals such as IEEE/ACM Transactions on Networking, Computer Networks and IEEE Transactions on Mobile 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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