Yue Ning

2.1k total citations · 1 hit paper
91 papers, 1.3k citations indexed

About

Yue Ning is a scholar working on Artificial Intelligence, Molecular Biology and Genetics. According to data from OpenAlex, Yue Ning has authored 91 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 26 papers in Molecular Biology and 23 papers in Genetics. Recurrent topics in Yue Ning's work include Genetic diversity and population structure (15 papers), Identification and Quantification in Food (11 papers) and Advanced Graph Neural Networks (10 papers). Yue Ning is often cited by papers focused on Genetic diversity and population structure (15 papers), Identification and Quantification in Food (11 papers) and Advanced Graph Neural Networks (10 papers). Yue Ning collaborates with scholars based in China, United States and Germany. Yue Ning's co-authors include Huzefa Rangwala, Yujing Chen, Martin Slawski, Hui Wang, Chandan K. Reddy, Chang Lü, Linsen Zan, Xiande Liu, Naren Ramakrishnan and Yiyun Li and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Yue Ning

84 papers receiving 1.2k citations

Hit Papers

Asynchronous Online Federated Learning for Edge Devices w... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yue Ning China 18 649 209 158 126 97 91 1.3k
Haohan Wang United States 17 299 0.5× 244 1.2× 91 0.6× 59 0.5× 39 0.4× 82 1.1k
Gaurav Gupta India 19 376 0.6× 110 0.5× 44 0.3× 139 1.1× 148 1.5× 88 1.4k
Junming Xu China 14 445 0.7× 75 0.4× 34 0.2× 110 0.9× 15 0.2× 34 884
Kun He China 23 644 1.0× 255 1.2× 48 0.3× 559 4.4× 322 3.3× 117 1.6k
Ling Luo China 22 912 1.4× 872 4.2× 71 0.4× 84 0.7× 43 0.4× 105 1.7k
Veronica Vinciotti United Kingdom 18 236 0.4× 437 2.1× 105 0.7× 58 0.5× 28 0.3× 56 1.2k
Carlos Eduardo Ferreira Brazil 17 104 0.2× 522 2.5× 87 0.6× 20 0.2× 98 1.0× 69 1.2k
Vaibhav Rajan Singapore 15 270 0.4× 209 1.0× 88 0.6× 109 0.9× 57 0.6× 62 741
Randal S. Olson United States 13 391 0.6× 141 0.7× 110 0.7× 57 0.5× 56 0.6× 29 1.1k

Countries citing papers authored by Yue Ning

Since Specialization
Citations

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

Fields of papers citing papers by Yue Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Ning. A scholar is included among the top collaborators of Yue Ning 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 Yue Ning. Yue Ning 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.
Ning, Yue, Dan Li, Liting Chen, et al.. (2025). Structure, transduction pathway, behavior and toxicity of fish olfactory in aquatic environments. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 294. 110195–110195. 3 indexed citations
2.
Wang, Juan, Yu Xi, Qin Fang, et al.. (2025). Integrated physiological and metabolomic analysis reveals effects of plant growth regulators on peach fruits. Plant Physiology and Biochemistry. 230. 110835–110835.
3.
Rijke, Maarten de, et al.. (2024). Advances in Human Event Modeling: From Graph Neural Networks to Language Models. 6459–6469. 3 indexed citations
4.
5.
Zhong, Qinghua, et al.. (2024). Metabolomic profiling of human feces and plasma from extrauterine growth restriction infants. Pediatric Research. 97(6). 2097–2105.
6.
Li, Peiwei, Chugang Mei, Sayed Haidar Abbas Raza, et al.. (2024). Arginine (315) is required for the PLIN2-CGI-58 interface and plays a functional role in regulating nascent LDs formation in bovine adipocytes. Genomics. 116(2). 110817–110817. 1 indexed citations
7.
Chen, Jing, Germán G. Creamer, Yue Ning, & Tal Ben-Zvi. (2023). Healthcare Sustainability: Hospitalization Rate Forecasting with Transfer Learning and Location-Aware News Analysis. Sustainability. 15(22). 15840–15840. 3 indexed citations
8.
Lü, Chang, Chandan K. Reddy, Ping Wang, Dong Nie, & Yue Ning. (2023). Multi-Label Clinical Time-Series Generation via Conditional GAN. IEEE Transactions on Knowledge and Data Engineering. 36(4). 1728–1740. 16 indexed citations
9.
Ning, Yue, et al.. (2023). Certified Edge Unlearning for Graph Neural Networks. 2606–2617. 14 indexed citations
10.
Xu, Jie, Yunyu Xiao, Hui Wang, et al.. (2022). Algorithmic fairness in computational medicine. EBioMedicine. 84. 104250–104250. 92 indexed citations
11.
Yang, Xinran, Yue Ning, Sayed Haidar Abbas Raza, Chugang Mei, & Linsen Zan. (2022). MEF2C Expression Is Regulated by the Post-transcriptional Activation of the METTL3-m6A-YTHDF1 Axis in Myoblast Differentiation. Frontiers in Veterinary Science. 9. 900924–900924. 13 indexed citations
12.
Feng, Ya‐Long, Wenbo Wang, Yue Ning, Hua Chen, & Pei Liu. (2021). Small molecules against the origin and activation of myofibroblast for renal interstitial fibrosis therapy. Biomedicine & Pharmacotherapy. 139. 111386–111386. 18 indexed citations
13.
Chen, Yujing, Yue Ning, & Huzefa Rangwala. (2019). Asynchronous Online Federated Learning for Edge Devices.. arXiv (Cornell University). 34 indexed citations
14.
Zhang, Le, Yue Ning, Peiwei Li, & Linsen Zan. (2019). Smad3 influences Smad2 expression via the transcription factor C/EBPα and C/EBPβ during bovine myoblast differentiation. Archives of Biochemistry and Biophysics. 671. 235–244. 8 indexed citations
15.
Wei, Dawei, Xiaoxing Ma, Gong Cheng, et al.. (2018). Characterization of the promoter region of bovine SIX4: Roles of E-box and MyoD in the regulation of basal transcription. Biochemical and Biophysical Research Communications. 496(1). 44–50. 6 indexed citations
16.
Ning, Yue, et al.. (2015). Isolation of new polymorphic microsatellite markers from the marbled rockfish Sebastiscus marmoratus. Genetics and Molecular Research. 14(1). 758–762. 3 indexed citations
17.
Li, Zhongbao, et al.. (2015). Short Communication Development and characterization of new microsatellite markers of Fenneropenaeus penicillatus. Genetics and Molecular Research. 14(2). 6679–6682. 1 indexed citations
18.
Ning, Yue & Caixia Zheng. (2010). Electrophoresis Analysis on the Protein Expression in Heteromorphic Leaves of Populus euphratica Oliv.. Agricultural Science and Technology Hunan. 11(5). 41–45. 1 indexed citations
19.
Ning, Yue, et al.. (2009). Proteomics Analysis of Heteromorphic Leaves of Populus euphratica Oliv. Zhongguo shengwu gongcheng zazhi. 29(9). 40–44. 5 indexed citations
20.
Zheng, Caixia, et al.. (2007). Comparison of stomatal characteristics and photosynthesis of polymorphic Populus euphratica leaves. Frontiers of Forestry in China. 2(1). 87–93. 12 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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