Chaoyang He

21 papers receiving 695 citations

Hit Papers

Federated Learning for the Internet of Things: Applicatio...20222026202320242022202350100150200

Peers

Chaoyang He
Comparison fields: 5 of 79
  • Artificial Intelligence 516
  • Computer Vision and Pattern Recognition 110
  • Information Systems 107
  • Computer Networks and Communications 106
  • Electrical and Electronic Engineering 64
Replace Yan Kang with:
Yan Kang China
Hangyu Zhu China
Chandra Thapa Australia
Zuobin Xiong United States
Yoshinori Aono Japan
Le Trieu Phong Japan
Gaoyang Liu China
Yanming Zhu Australia
Jie Wen China
Chaoyang He relative to Yan Kang China Yan Kang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chaoyang He

Since Specialization
Citations

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

Fields of papers citing papers by Chaoyang He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoyang He

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoyang He. A scholar is included among the top collaborators of Chaoyang He 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 Chaoyang He. Chaoyang He 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
FairFed: Enabling Group Fairness in Federated Learningbreakdown →
95
2 0
3 10
4 62
5 8
6 11
7 5
8 21
9
Federated Learning for the Internet of Things: Applications, Challenges, and Opportunitiesbreakdown →
226
10
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models
8
11 44
12
FedNLP: A Research Platform for Federated Learning in Natural Language Processing.
23
13
FedGraphNN: A Federated Learning Benchmark System for Graph Neural Networks
6
14
Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge.
10
15
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
9
16
FedNAS: Federated Deep Learning via Neural Architecture Search
37
17 68
18 20
19
Adversarial Representation Learning on Large-Scale Bipartite Graphs.
2
20 7

About Chaoyang He

Chaoyang He is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 711 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (10 papers), Topic Modeling (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Health Informatics (26 citations), Artificial Intelligence (516 citations) and Computer Science Applications (61 citations). Chaoyang He has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include A. Salman Avestimehr, Salman Avestimehr, Mi Zhang, Bhaskar Krishnamachari, Tuo Zhang, Lei Gao, Murali Annavaram, Li Shen, Emilio Ferrara and Shen Yan. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and Neural Networks.

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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