Yan Kang

2.0k total citations · 2 hit papers
28 papers, 995 citations indexed

About

Yan Kang is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yan Kang has authored 28 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 3 papers in Sociology and Political Science and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yan Kang's work include Privacy-Preserving Technologies in Data (15 papers), Cryptography and Data Security (7 papers) and Stochastic Gradient Optimization Techniques (6 papers). Yan Kang is often cited by papers focused on Privacy-Preserving Technologies in Data (15 papers), Cryptography and Data Security (7 papers) and Stochastic Gradient Optimization Techniques (6 papers). Yan Kang collaborates with scholars based in China, Hong Kong and United States. Yan Kang's co-authors include Qiang Yang, Tianjian Chen, Yang Liu, Chaoping Xing, Yang Liu, Yong Cheng, Han Yu, Yuanqin He, Xiaozhou Ye and Ya-Qin Zhang and has published in prestigious journals such as Energy & Environmental Science, IEEE Transactions on Signal Processing and Optics Letters.

In The Last Decade

Yan Kang

23 papers receiving 976 citations

Hit Papers

A Secure Federated Transfer Learning Framework 2020 2026 2022 2024 2020 2024 100 200 300

Peers

Yan Kang
Comparison fields: 5 of 88
  • Artificial Intelligence 819
  • Information Systems 146
  • Computer Networks and Communications 145
  • Electrical and Electronic Engineering 117
  • Computer Science Applications 95
Replace Hakima Ould‐Slimane with:
Hakima Ould‐Slimane Canada
Sawsan AbdulRahman Lebanon
Yoshinori Aono Japan
Le Trieu Phong Japan
Chandra Thapa Australia
Mehmet Emre Gürsoy United States
Chaoyang He United States
Linshan Jiang Singapore
Hakima Ould‐Slimane Canada View profile →
Citations per field, relative to Yan Kang
Yan Kang · 1×
Citations per year, relative to Yan Kang
Yan Kang · 1×

Countries citing papers authored by Yan Kang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Kang. A scholar is included among the top collaborators of Yan Kang 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 Yan Kang. Yan Kang 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
# Work Indexed citations
1 16
2 0
3 0
4 0
5 0
6 4
7 7
8 7
9 32
10 23
11 36
12 66
13 24
14 4
15 3
16 0
17 208
18
Analysis of the generation amount and the metal stock of obsolete computers in China.
1
19 9
20 2

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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