Dong Yuan

4.5k total citations
194 papers, 3.0k citations indexed

About

Dong Yuan is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Dong Yuan has authored 194 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Computer Networks and Communications, 70 papers in Information Systems and 47 papers in Artificial Intelligence. Recurrent topics in Dong Yuan's work include Cloud Computing and Resource Management (50 papers), Distributed and Parallel Computing Systems (30 papers) and Scientific Computing and Data Management (26 papers). Dong Yuan is often cited by papers focused on Cloud Computing and Resource Management (50 papers), Distributed and Parallel Computing Systems (30 papers) and Scientific Computing and Data Management (26 papers). Dong Yuan collaborates with scholars based in Australia, China and United States. Dong Yuan's co-authors include Yun Yang, Xiao Liu, Jinjun Chen, Wenhao Li, Wei Bao, Jiong Jin, Zhangjun Wu, Zhiwei Ni, Abubakar Sadiq Sani and Jianhua Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Chemical Engineering Journal.

In The Last Decade

Dong Yuan

184 papers receiving 2.8k citations

Peers

Dong Yuan
Hong‐Linh Truong Austria
Jia Zhang United States
Luis Rodero‐Merino Spain
Edmundo R. M. Madeira Brazil
Cees de Laat Netherlands
Dick Epema Netherlands
Yogesh Simmhan United States
Chee Shin Yeo Australia
James Broberg Australia
Inderveer Chana India
Hong‐Linh Truong Austria
Dong Yuan
Citations per year, relative to Dong Yuan Dong Yuan (= 1×) peers Hong‐Linh Truong

Countries citing papers authored by Dong Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Dong Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Yuan. A scholar is included among the top collaborators of Dong Yuan 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 Dong Yuan. Dong Yuan 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
1.
Yuan, Dong, et al.. (2025). A simulation optimization method for Verilog-AMS IBIS model under overclocking. Integration. 102. 102364–102364. 1 indexed citations
2.
Jiang, Bo, Honglong Ning, Rihui Yao, et al.. (2025). Predictive modeling of electrochromic performance in ammonium metatungstate solutions using machine learning algorithms. AIP Advances. 15(2). 1 indexed citations
3.
Chen, Huaming, et al.. (2025). Threats and Defenses in the Federated Learning Life Cycle: A Comprehensive Survey and Challenges. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 15643–15663. 1 indexed citations
4.
Yuan, Dong, et al.. (2025). Accelerated discovery of compounds with erosion resistance to Nd-Fe-B melt by machine learning. Corrosion Science. 250. 112875–112875. 1 indexed citations
5.
Li, Huan, Dong Yuan, Chong Wang, et al.. (2024). Zwitterionic peptide pendant as a homing agent to achieve lymphatic targeting antigen-specific immunotherapy of allergenic protein. Chemical Engineering Journal. 485. 149315–149315. 3 indexed citations
6.
Ding, Weiping, et al.. (2024). Contribution-wise Byzantine-robust aggregation for Class-Balanced Federated Learning. Information Sciences. 667. 120475–120475. 3 indexed citations
7.
Chen, Huaming, et al.. (2024). On Security Weaknesses and Vulnerabilities in Deep Learning Systems. IEEE Transactions on Dependable and Secure Computing. 22(3). 2243–2257. 1 indexed citations
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Yuan, Dong, et al.. (2024). Edge-LLM: A Collaborative Framework for Large Language Model Serving in Edge Computing. 799–809. 18 indexed citations
10.
Yang, Geng, et al.. (2023). VPPFL: A verifiable privacy-preserving federated learning scheme against poisoning attacks. Computers & Security. 136. 103562–103562. 7 indexed citations
11.
Yuan, Dong, et al.. (2023). S2Former: Parallel Spectral–Spatial Transformer for Hyperspectral Image Classification. Electronics. 12(18). 3937–3937. 5 indexed citations
12.
Yuan, Dong, et al.. (2023). ICB FL: Implicit Class Balancing Towards Fairness in Federated Learning. 135–142. 1 indexed citations
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16.
Gong, Xiuwen, Dong Yuan, & Wei Bao. (2021). Understanding Partial Multi-Label Learning via Mutual Information. Neural Information Processing Systems. 34. 6 indexed citations
17.
Li, Qi, et al.. (2019). ServeDB: Secure, Verifiable, and Efficient Range Queries on Outsourced Database. 626–637. 48 indexed citations
18.
Yuan, Dong. (2011). Nonlinearity Characteristics and Its Control Strategies of All-electric Tank Gun Control System. 2 indexed citations
19.
He, Saike, et al.. (2010). Apply Normalized Accessor Variety in Chinese Word Segmentation. Zhongwen xinxi xuebao. 24(1). 1 indexed citations
20.
He, Saike, et al.. (2009). Multi-Task Learning in Conditional Random Fields for Chunking in Shallow Semantic Parsing. Pacific Asia Conference on Language, Information, and Computation. 180–189. 1 indexed citations

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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