Hung‐Ju Lin

3.1k citations
80 papers · 1.8k · h-index 22

Impact in

Papers in

Hung‐Ju Lin

75 papers receiving 1.8k citations

Peers

Hung‐Ju Lin
Comparison fields: 5 of 127
  • Cardiology and Cardiovascular Medicine 360
  • Nephrology 111
  • Endocrinology, Diabetes and Metabolism 174
  • Periodontics 43
  • Computer Vision and Pattern Recognition 199
Replace Tomohiro Harada with:
Tomohiro Harada Japan
Yu‐Jin Kwon South Korea
Isao Kato Japan
Yining Li China
Yi‐Cheng Chang Taiwan
Gurpreet Singh Wander India
Tomas Gustavsson Sweden
Xuhong Hou China
Weiqing Tang China
Lei Xu China
Hung‐Ju Lin relative to Tomohiro Harada Japan Tomohiro Harada's profile →
Citations per field
00.5×4.3×
Tomohiro Harada · 1×
Citations per year

Countries citing papers authored by Hung‐Ju Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Ju Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung‐Ju Lin. 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 Hung‐Ju Lin. The network helps show where Hung‐Ju Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Hung‐Ju Lin, 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 Hung‐Ju Lin Line = papers co-authored together Hung‐Ju Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014216
2 2013171
3 2006171
4 201186
5 201083
6 201580
7 201172
8 201256
9 200956
10 200954
11 201347
12 201041
13 201339
14 201838
15 201332
16 201331
17 201531
18 201930
19 200929
20 201325

About Hung‐Ju Lin

Hung‐Ju Lin is a scholar working on Cardiology and Cardiovascular Medicine, Nutrition and Dietetics, Surgery, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 80 papers that have together received 1.8k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (14 papers), Heart Rate Variability and Autonomic Control (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Fatty Acid Research and Health (5 papers), Non-Invasive Vital Sign Monitoring (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Sodium Intake and Health (3 papers) and Hemodynamic Monitoring and Therapy (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (360 citations), Nephrology (111 citations), Endocrinology, Diabetes and Metabolism (174 citations), Periodontics (43 citations) and Computer Vision and Pattern Recognition (199 citations). Hung‐Ju Lin has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Kuo‐Liong Chien, Mingfu Li, Po‐Yueh Chen, Hsiu‐Ching Hsu, Yuan‐Teh Lee, Bai‐Chin Lee, Ta‐Chen Su, Wei‐Chih Liao, Yi‐Lwun Ho and Yu‐Kang Tu. Their work appears in journals such as European Journal of Heart Failure, International Journal of Cardiology, PLoS ONE, Lipids in Health and Disease and Atherosclerosis.

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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