Yang Chen

2.8k citations
107 papers · 2.1k · 1 hit paper · h-index 20

Impact in

Papers in

Yang Chen

96 papers receiving 2.0k citations

Yang Chen's Hit Papers

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation 2019 · 460 citations
4600+2+4Years since publication100200300400

Peers

Yang Chen
Comparison fields: 5 of 131
  • Artificial Intelligence 810
  • Control and Systems Engineering 383
  • Computer Networks and Communications 361
  • Computer Science Applications 83
  • Information Systems 332
Replace Paul Rad with:
Paul Rad United States
Teddy Surya Gunawan Malaysia
Sung-Bae Cho South Korea
Chong Zhang China
Eduardo F. Morales Mexico
Cecilio Ángulo Spain
Denis Gračanin United States
Jiehan Zhou Finland
Pankaj Dadheech India
Zhiwen Xiao China
Yang Chen relative to Paul Rad United States Paul Rad's profile →
Citations per field
00.5×2×3.1×
Paul Rad · 1×
Citations per year

Countries citing papers authored by Yang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation
Hit paper breakdown →
2019460
2 2018181
3 2019112
4 2022106
5 202193
6 201982
7 200870
8 202069
9 201966
10 202260
11 202355
12 200944
13 202143
14 201739
15 202237
16 202030
17 201127
18 202326
19 202026
20 202320

About Yang Chen

Yang Chen is a scholar working on Artificial Intelligence, Control and Systems Engineering, Signal Processing, Information Systems and Computer Networks and Communications, having authored 107 papers that have together received 2.1k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (11 papers), Network Security and Intrusion Detection (11 papers), Smart Grid Security and Resilience (7 papers), Video Analysis and Summarization (6 papers), Privacy-Preserving Technologies in Data (6 papers), Recommender Systems and Techniques (6 papers), Microgrid Control and Optimization (6 papers) and Advanced Algorithms and Applications (4 papers). The work is most often cited by research in Artificial Intelligence (810 citations), Control and Systems Engineering (383 citations), Computer Networks and Communications (361 citations), Computer Science Applications (83 citations) and Information Systems (332 citations). Yang Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yaochu Jin, Xiaoyan Sun, Wanzeng Kong, Guojun Dai, Chunyu Chen, Hong Zeng, Keyue Ma Smedley, Feiwei Qin, Jianhai Zhang and Bixing Ren. Their work appears in journals such as Knowledge-Based Systems, IEEE Transactions on Industrial Informatics, Information Sciences, IEEE Transactions on Neural Networks and Learning Systems and IEEE Journal of Emerging and Selected Topics in Power Electronics.

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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