Yiqun Diao

1.1k citations
5 papers · 566 indexed · 1 hit paper · h-index 2
Topics
Privacy-Preserving Technologies in Data (2 papers)Cancer, Lipids, and Metabolism (1 paper)Cryptography and Data Security (1 paper)
Journals
Proceedings of the VLDB EndowmentPubMedProceedings of the AAAI Conference on Artificial Intelligence

In The Last Decade

Yiqun Diao

4 papers receiving 558 citations

Hit Papers

Federated Learning on Non-IID Data Silos: An Experimental...20222026202320242022100200300400500

Peers

Yiqun Diao
Comparison fields: 5 of 55
  • Artificial Intelligence 503
  • Computer Networks and Communications 85
  • Computer Science Applications 69
  • Computer Vision and Pattern Recognition 57
  • Electrical and Electronic Engineering 53
Replace Moming Duan with:
Moming Duan China
Yongheng Deng China
Briland Hitaj United States
Yuang Jiang United States
Renping Liu China
Lichuan Ma China
Hyesung Kim South Korea
Yan Qiang China
Chenyuan Feng China
Hengrui Jia China
Yiqun Diao relative to Moming Duan China Moming Duan's profile →
Citations per field
00.5×1.6×
Moming Duan · 1×
Citations per year

Countries citing papers authored by Yiqun Diao

Since Specialization
Citations

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

Fields of papers citing papers by Yiqun Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiqun Diao

This figure shows the co-authorship network connecting the top 25 collaborators of Yiqun Diao. A scholar is included among the top collaborators of Yiqun Diao 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 Yiqun Diao. Yiqun Diao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 7
2 1
3 0
4
Federated Learning on Non-IID Data Silos: An Experimental Studybreakdown →
557
5 1

About Yiqun Diao

Yiqun Diao is a scholar working on Neurology, Artificial Intelligence and Building and Construction, having authored 5 papers that have together received 566 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (2 papers), Cancer, Lipids, and Metabolism (1 paper) and Cryptography and Data Security (1 paper). The work is most often cited by research in Artificial Intelligence (503 citations), Computer Science Applications (69 citations) and Health Informatics (13 citations). Yiqun Diao has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Qinbin Li, Bingsheng He, Quan Chen, Ran Sun, Mian Lu and Yuehong Zheng. Their work appears in journals such as Proceedings of the VLDB Endowment, PubMed and Proceedings of the AAAI Conference on Artificial Intelligence.

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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