Yu‐Ling Yu

4.7k citations
81 papers · 1.0k · h-index 16

Impact in

Papers in

Yu‐Ling Yu

75 papers receiving 990 citations

Peers

Yu‐Ling Yu
Comparison fields: 5 of 111
  • Health, Toxicology and Mutagenesis 185
  • Computer Networks and Communications 174
  • Pollution 79
  • Drug Discovery 1
  • Endocrinology, Diabetes and Metabolism 82
Replace Xiuquan Lin with:
Xiuquan Lin China
Zhengyi Zhu China
Fangfang Yu China
Dan Mei China
Yousun Ko South Korea
Chien‐Hsing Wu Taiwan
Xinxin Chen China
Vaibhav Shukla India
Jie Hou China
Fu‐Jen Cheng Taiwan
Yu‐Ling Yu relative to Xiuquan Lin China Xiuquan Lin's profile →
Citations per field
00.5×10.9×
Xiuquan Lin · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Yu‐Ling Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu‐Ling Yu Line = papers co-authored together Yu‐Ling Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017114
2 201693
3 202276
4 201665
5 201455
6 202053
7 202036
8 202231
9 200930
10 201927
11 201725
12 202023
13 202121
14 201920
15 202316
16 202115
17 202114
18 201414
19 202013
20 202013

About Yu‐Ling Yu

Yu‐Ling Yu is a scholar working on Cardiology and Cardiovascular Medicine, Computer Networks and Communications, Health, Toxicology and Mutagenesis, Electrical and Electronic Engineering and Molecular Biology, having authored 81 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (10 papers), Cooperative Communication and Network Coding (8 papers), Heavy Metal Exposure and Toxicity (7 papers), Advanced Wireless Network Optimization (7 papers), Blood Pressure and Hypertension Studies (6 papers), Air Quality and Health Impacts (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Gout, Hyperuricemia, Uric Acid (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (185 citations), Computer Networks and Communications (174 citations), Pollution (79 citations), Drug Discovery (1 citation) and Endocrinology, Diabetes and Metabolism (82 citations). Yu‐Ling Yu has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Mugen Peng, Yuqing Huang, Yingqing Feng, Chaolei Chen, Kenneth Lo, Jian Li, Jiayi Huang, Hongyu Xiang, H. Vincent Poor and Xiaolan Zhang. Their work appears in journals such as Postgraduate Medical Journal, Hypertension, Journal of Hypertension, Diabetes Metabolic Syndrome and Obesity and Risk Management and Healthcare Policy.

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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