Yuanyuan He

1.4k total citations · 1 hit paper
44 papers, 1.0k citations indexed

About

Yuanyuan He is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Yuanyuan He has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 9 papers in Sociology and Political Science and 7 papers in Information Systems. Recurrent topics in Yuanyuan He's work include Privacy-Preserving Technologies in Data (23 papers), Privacy, Security, and Data Protection (8 papers) and Cryptography and Data Security (8 papers). Yuanyuan He is often cited by papers focused on Privacy-Preserving Technologies in Data (23 papers), Privacy, Security, and Data Protection (8 papers) and Cryptography and Data Security (8 papers). Yuanyuan He collaborates with scholars based in China, Canada and Australia. Yuanyuan He's co-authors include Guo‐Qiang Bi, Huaqiang Wu, Yijun Li, Bin Gao, Xinke Shen, He Qian, Fang Yuan, Xinyi Li, Mingyi Rao and Zhongrui Wang and has published in prestigious journals such as Advanced Materials, Nature Communications and Analytica Chimica Acta.

In The Last Decade

Yuanyuan He

37 papers receiving 1.0k citations

Hit Papers

Bridging Biological and A... 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yuanyuan He China 12 663 308 281 133 103 44 1.0k
Wen Zhou China 15 597 0.9× 310 1.0× 235 0.8× 113 0.8× 101 1.0× 49 1.1k
Yuhan Shi China 15 506 0.8× 202 0.7× 222 0.8× 89 0.7× 121 1.2× 56 873
Zhiwei Li China 13 575 0.9× 191 0.6× 147 0.5× 36 0.3× 105 1.0× 85 841
Ziyu Wang China 18 578 0.9× 87 0.3× 216 0.8× 176 1.3× 35 0.3× 99 1.1k
Junjie Wang China 21 1.4k 2.0× 465 1.5× 246 0.9× 228 1.7× 184 1.8× 82 1.7k
Tony F. Wu United States 21 1.2k 1.8× 154 0.5× 186 0.7× 47 0.4× 65 0.6× 38 1.5k
Lele Wang United States 13 687 1.0× 483 1.6× 57 0.2× 88 0.7× 98 1.0× 76 1.1k
Chih-Chieh Hsu Taiwan 18 689 1.0× 187 0.6× 87 0.3× 217 1.6× 85 0.8× 81 862
Zhengwu Liu China 16 860 1.3× 284 0.9× 350 1.2× 68 0.5× 244 2.4× 45 1.1k
Jason K. Eshraghian United States 20 1.2k 1.8× 474 1.5× 377 1.3× 60 0.5× 527 5.1× 97 1.7k

Countries citing papers authored by Yuanyuan He

Since Specialization
Citations

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

Fields of papers citing papers by Yuanyuan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanyuan He

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanyuan He. A scholar is included among the top collaborators of Yuanyuan 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 Yuanyuan He. Yuanyuan 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
1.
Zhang, Junhui, et al.. (2025). Weld TOFD defect classification method based on multi-scale CNN and cascaded focused attention. Journal of Manufacturing Processes. 138. 157–168. 6 indexed citations
2.
He, Shanshan, Xiaoyang Li, Yuanyuan He, et al.. (2025). High-density lipoprotein nanoparticles spontaneously target to damaged renal tubules and alleviate renal fibrosis by remodeling the fibrotic niches. Nature Communications. 16(1). 1061–1061. 10 indexed citations
3.
Wang, Lin, Yuanyuan He, Lu Wang, et al.. (2025). A novel de novo IL2RG nonsense mutation in a pediatric patient with X-linked severe combined immunodeficiency. Frontiers in Genetics. 16. 1641956–1641956.
4.
Deng, Xianjun, et al.. (2025). Blockchain-Enhanced Federated Learning for Secure and Intelligent Consumer Electronics: An Overview. IEEE Consumer Electronics Magazine. 15(1). 64–76. 2 indexed citations
5.
He, Yuanyuan, Jie Zhang, Peng Yang, Zhe Sun, & Xuemin Shen. (2025). PPBR: Privacy-Preserving and Byzantine-Robust Edge-Assisted Hierarchical Federated Learning in Mobile Networks. IEEE Transactions on Mobile Computing. 25(2). 1595–1612.
6.
He, Yuanyuan, et al.. (2024). Contrastive Learning-Based Speech Spoofing Detection for Multimedia Security in Edge Intelligence. ACM Transactions on Multimedia Computing Communications and Applications. 21(8). 1–21.
7.
Qin, Shuqi, et al.. (2024). A Partially Labeled Anomaly Data Detection Approach Based on Prioritized Deep Reinforcement Learning for Consumer Electronics Security. IEEE Transactions on Consumer Electronics. 70(4). 6452–6462. 3 indexed citations
8.
He, Yuanyuan, Tao Jin, Qi Liu, et al.. (2023). Dose-Dependent Effects in Plasma Oncotherapy: Critical In Vivo Immune Responses Missed by In Vitro Studies. Biomolecules. 13(4). 707–707. 10 indexed citations
9.
He, Yuanyuan, et al.. (2022). Ordinal Data Stream Collection with Condensed Local Differential Privacy. 562–569. 2 indexed citations
10.
Ni, Jianbing, et al.. (2022). Securing E-Petition: A Privacy-Preserving Fine-Grained Electronic Petition System for Health and Political Petitions. ICC 2022 - IEEE International Conference on Communications. 3862–3867.
11.
He, Yuanyuan, Xinyu Tan, Jianbing Ni, Laurence T. Yang, & Xianjun Deng. (2022). Differentially Private Set Intersection for Asymmetrical ID Alignment. IEEE Transactions on Information Forensics and Security. 17. 3479–3494. 12 indexed citations
12.
Gao, Xue, et al.. (2022). Valproic Acid Inhibits Glial Scar Formation after Ischemic Stroke. Pharmacology. 107(5-6). 263–280. 13 indexed citations
13.
Sun, Zhe, et al.. (2021). An Ownership Verification Mechanism Against Encrypted Forwarding Attacks in Data-Driven Social Computing. Frontiers in Physics. 9. 1 indexed citations
14.
He, Yuanyuan, et al.. (2019). Glial Scar—a Promising Target for Improving Outcomes After CNS Injury. Journal of Molecular Neuroscience. 70(3). 340–352. 30 indexed citations
15.
Li, Fenghua, et al.. (2018). Achieving Personalized k-Anonymity against Long-Term Observation in Location-Based Services. 37. 1–6. 8 indexed citations
16.
Fan, Jinbo, et al.. (2018). Single-molecule catalytic hairpin assembly for rapid and direct quantification of circulating miRNA biomarkers. Analytica Chimica Acta. 1042. 109–115. 32 indexed citations
17.
He, Yuanyuan, et al.. (2017). Impact factor-based group recommendation scheme with privacy preservation in MSNs. 24. 1–6. 1 indexed citations
18.
Ye, Junliang, Yuanyuan He, Xiaohu Ge, & Min Chen. (2016). Energy efficiency analysis of 5G Ultra-dense networks based on random way point mobility models. Wireless Personal Multimedia Communications. 177–182. 8 indexed citations
20.
Xiao, Hongjun, Chen Yang, Yuanyuan He, & Na Zheng. (2010). Neurotoxicity of quinolinic acid to spiral ganglion cells in rats. Journal of Huazhong University of Science and Technology [Medical Sciences]. 30(3). 397–402. 2 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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