Yu‐Ling Yu

4.2k total citations
79 papers, 950 citations indexed

About

Yu‐Ling Yu is a scholar working on Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yu‐Ling Yu has authored 79 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cardiology and Cardiovascular Medicine, 12 papers in Health, Toxicology and Mutagenesis and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yu‐Ling Yu's work include Blood Pressure and Hypertension Studies (15 papers), Advanced MIMO Systems Optimization (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). Yu‐Ling Yu is often cited by papers focused on Blood Pressure and Hypertension Studies (15 papers), Advanced MIMO Systems Optimization (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). Yu‐Ling Yu collaborates with scholars based in China, United States and Belgium. Yu‐Ling Yu's co-authors include Mugen Peng, Chaolei Chen, Yingqing Feng, Yuqing Huang, Kenneth Lo, Jian Li, Jiayi Huang, Hongyu Xiang, H. Vincent Poor and Xiaolan Zhang and has published in prestigious journals such as Journal of Clinical Oncology, The Science of The Total Environment and Environmental Health Perspectives.

In The Last Decade

Yu‐Ling Yu

70 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Ling Yu China 15 239 180 174 169 121 79 950
Xiuquan Lin China 11 243 1.0× 19 0.1× 283 1.6× 34 0.2× 22 0.2× 41 568
Zhengyi Zhu China 16 87 0.4× 22 0.1× 21 0.1× 14 0.1× 12 0.1× 65 662
Vaibhav Shukla India 10 65 0.3× 24 0.1× 25 0.1× 23 0.1× 43 0.4× 47 319
Yousun Ko South Korea 19 8 0.0× 46 0.3× 50 0.3× 62 0.4× 13 0.1× 103 1.2k
Xiaoyan Li China 17 10 0.0× 15 0.1× 56 0.3× 570 3.4× 39 0.3× 59 1.2k
Zhuo Ma China 17 19 0.1× 41 0.2× 10 0.1× 63 0.4× 17 0.1× 52 718
Chien‐Hsing Wu Taiwan 19 6 0.0× 33 0.2× 13 0.1× 62 0.4× 43 0.4× 94 951
John H. Reed United States 16 162 0.7× 10 0.1× 18 0.1× 334 2.0× 666 5.5× 58 1.4k
Ting Yin China 18 73 0.3× 129 0.7× 85 0.5× 25 0.2× 62 935
Ali Ghasemi Iran 14 76 0.3× 48 0.3× 6 0.0× 4 0.0× 17 0.1× 59 719

Countries citing papers authored by Yu‐Ling Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Ling Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Ling Yu. 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 Yu‐Ling Yu. The network helps show where Yu‐Ling Yu may publish in the future.

Co-authorship network of co-authors of Yu‐Ling Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Ling Yu. A scholar is included among the top collaborators of Yu‐Ling Yu 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 Yu‐Ling Yu. Yu‐Ling Yu 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.
Meng, Xin-You, Long Li, Yaoke Shi, et al.. (2025). Store-and-forward with graph attention: Enhanced multi-agent reinforcement learning for emergency-responsive traffic signal control. Engineering Applications of Artificial Intelligence. 159. 111602–111602.
2.
Norton, Gavin R., Lucas S. Aparicio, Yu‐Ling Yu, et al.. (2024). Mortality and Cardiovascular End Points In Relation to the Aortic Pulse Wave Components: An Individual-Participant Meta-Analysis. Hypertension. 81(5). 1065–1075. 3 indexed citations
3.
Yu, Yu‐Ling, Dries S. Martens, Agnieszka Latosińska, et al.. (2024). Osteoporosis in Relation to a Bone-Related Aging Biomarker Derived from the Urinary Proteomic Profile: A Population Study. Aging and Disease. 1 indexed citations
4.
Yu, Yu‐Ling, Qi‐Fang Huang, Julia Raad, et al.. (2024). OSTEO18, a novel urinary proteomic signature, associated with osteoporosis in heart transplant recipients. Heliyon. 10(2). e24867–e24867. 1 indexed citations
5.
Yu, Yu‐Ling, et al.. (2023). Blood pressure and hypertension in relation to lead exposure updated according to present-day blood lead levels. Kardiologia Polska. 81(7-8). 675–683. 2 indexed citations
6.
Yu, Yu‐Ling, Wen‐Yi Yang, Peter Verhamme, et al.. (2023). Blood pressure and renal function responses in workers exposed to lead for up to six years. Journal of Clinical Hypertension. 25(12). 1086–1095. 1 indexed citations
7.
Jacobs, J., Yu‐Ling Yu, Caroline Weltens, et al.. (2023). Mortality and Major Adverse Cardiac Events in Patients With Breast Cancer Receiving Radiotherapy: The First Decade. Journal of the American Heart Association. 12(8). e027855–e027855. 13 indexed citations
8.
Turkson‐Ocran, Ruth‐Alma, Jan A. Staessen, Yu‐Ling Yu, et al.. (2023). Body Position and Orthostatic Hypotension in Hypertensive Adults: Results from the Syst-Eur Trial. Hypertension. 80(4). 820–827. 6 indexed citations
9.
Yu, Yu‐Ling, Anke Raaijmakers, Dries S. Martens, et al.. (2023). Blood pressure and cardiovascular risk in relation to birth weight and urinary sodium: an individual-participant meta-analysis of European family-based population studies. Journal of Hypertension. 41(7). 1175–1183.
10.
He, Guodong, Xiaocong Liu, Lin Liu, et al.. (2021). A nonlinear association of total cholesterol with all-cause and cause-specific mortality. Nutrition & Metabolism. 18(1). 25–25. 21 indexed citations
11.
Salaets, Thomas, Anke Raaijmakers, Zhen‐Yu Zhang, et al.. (2021). QTc intervals are not prolonged in former ELBW infants at pre-adolescent age. Pediatric Research. 92(3). 848–852.
12.
Yu, Yu‐Ling, Lutgarde Thijs, Cai‐Guo Yu, et al.. (2021). Two-Year Responses of Heart Rate and Heart Rate Variability to First Occupational Lead Exposure. Hypertension. 77(5). 1775–1786. 6 indexed citations
13.
Huang, Yuqing, Lin Liu, Kenneth Lo, et al.. (2021). The relationship between famine exposure during early life and ascending aorta dilatation in adults. British Journal Of Nutrition. 127(3). 431–438. 3 indexed citations
14.
Zhang, Xiaolan, et al.. (2020). Insight into the transplacental transport mechanism of methoxylated polybrominated diphenyl ethers using a BeWo cell monolayer model. Environmental Pollution. 265(Pt A). 114836–114836. 11 indexed citations
15.
Liu, Lin, Yu‐Ling Yu, Chaolei Chen, et al.. (2020). A nonlinear relationship between low-density-lipoprotein cholesterol levels and atrial fibrillation among patients with hypertension in China. Annals of Palliative Medicine. 9(5). 2953–2961. 6 indexed citations
16.
Huang, Yuqing, Geng Shen, Kenneth Lo, et al.. (2019). Association of circulating selenium concentration with dyslipidemia: Results from the NHANES. Journal of Trace Elements in Medicine and Biology. 58. 126438–126438. 27 indexed citations
17.
18.
Li, Jian, Mugen Peng, Yu‐Ling Yu, & Zhiguo Ding. (2016). Energy-Efficient Joint Congestion Control and Resource Optimization in Heterogeneous Cloud Radio Access Networks. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
19.
Xiang, Hongyu, Yu‐Ling Yu, Zhongyuan Zhao, Yong Li, & Mugen Peng. (2015). Tradeoff between energy efficiency and queues delay in heterogeneous cloud radio access networks. 2727–2731. 8 indexed citations
20.
Zhang, Xiu-Jun, Qiong Shen, Yu‐Ling Yu, et al.. (2008). [Health seeking behavior and related influential factors on rural reproductive tract infections among rural women at reproductive age].. PubMed. 29(12). 1185–8. 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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