Y. A. Tang

434 citations
25 papers · 223 indexed · h-index 9

Y. A. Tang

24 papers receiving 210 citations

Peers

Y. A. Tang
Comparison fields: 5 of 68
  • Computer Networks and Communications 91
  • Computer Vision and Pattern Recognition 57
  • Information Systems 60
  • Artificial Intelligence 57
  • Computer Science Applications 7
Replace Jisu Kim with:
Jisu Kim South Korea
Rosario Culmone Italy
Óscar Cánovas Spain
Zhuang Li China
Kuanishbay Sadatdiynov China
Robert Győrödi Romania
Haolong Xiang China
Minyong Shi China
Chandana Gamage Sri Lanka
Y. A. Tang relative to Jisu Kim South Korea Jisu Kim's profile →
Citations per field
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Jisu Kim · 1×
Citations per year

Countries citing papers authored by Y. A. Tang

Since Specialization
Citations

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

Fields of papers citing papers by Y. A. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. A. Tang. 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 Y. A. Tang. The network helps show where Y. A. Tang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20243
4 20241
5 202310
6 20233
7 20231
8 20214
9 202125
10 20212
11
Privacy Preserving Friend Discovery of Matrix Confusion Encryption in Mobile Social Networks
20191
12 201812
13 201838
14 20187
15 20178
16 20171
17 201730
18 201727
19 201618
20
Research of papers automatically generated system based on Ontology
20091

About Y. A. Tang

Y. A. Tang is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 25 papers that have together received 223 indexed citations. Recurring topics across this work include Caching and Content Delivery (5 papers), Peer-to-Peer Network Technologies (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Cloud Computing and Remote Desktop Technologies (2 papers), Privacy, Security, and Data Protection (2 papers), Cryptography and Data Security (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Computer Networks and Communications (91 citations), Computer Vision and Pattern Recognition (57 citations) and Information Systems (60 citations). Y. A. Tang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Kehua Guo, Tao Chi, Jianhua Ma, Peiyun Zhang, Ruifang Zhang, Hao Wang, Li Kuang, Wenping Song, E.Z. Luo and Sheng Ren. Their work appears in journals such as IEEE Access, Future Generation Computer Systems, Computer Modeling in Engineering & Sciences, Information Sciences and Journal of Computational 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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