Chien-Ying Huang

485 citations
19 papers · 316 indexed · h-index 10

Chien-Ying Huang

18 papers receiving 310 citations

Peers

Chien-Ying Huang
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 64
  • Cardiology and Cardiovascular Medicine 71
  • Epidemiology 90
  • Surgery 110
  • Neuropsychology and Physiological Psychology 3
Replace Debraj Das with:
Debraj Das India
Mayank Dalakoti Singapore
Bhavana Sosale India
Mostafa A. Al‐Alusi United States
F. Cauwe Belgium
Lili Fang China
Sheri Tokumaru United States
William Stevens United Kingdom
Almudena Castro Spain
T. Hara Japan
Chien-Ying Huang relative to Debraj Das India Debraj Das's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chien-Ying Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chien-Ying Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien-Ying Huang. 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 Chien-Ying Huang. The network helps show where Chien-Ying Huang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Chien-Ying Huang, 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 Chien-Ying Huang Line = papers co-authored together Chien-Ying Huang links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20242
2 202329
3 20234
4 20227
5 20215
6 20219
7 202010
8 202054
9 20199
10 201920
11 201927
12 20190
13 20185
14 201812
15 201618
16 201573
17 20144
18 201324
19 20064

About Chien-Ying Huang

Chien-Ying Huang is a scholar working on Endocrinology, Diabetes and Metabolism, Health, Psychiatry and Mental health, Cardiology and Cardiovascular Medicine and Nephrology, having authored 19 papers that have together received 316 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Quantum Information and Cryptography (3 papers), Pharmacology and Obesity Treatment (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Quantum Mechanics and Applications (2 papers), Dementia and Cognitive Impairment Research (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (64 citations), Cardiology and Cardiovascular Medicine (71 citations), Epidemiology (90 citations), Surgery (110 citations) and Neuropsychology and Physiological Psychology (3 citations). Chien-Ying Huang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jiu‐Jenq Lin, Tsun-Shun Huang, Pao‐Hsien Chu, Yi‐Hsin Chan, Yi‐Wei Kao, Shao‐Wei Chen, Che‐Ming Li, Pei‐Chuan Ho, Kuen‐Jer Tsai and Chun-Yuan Lee. Their work appears in journals such as Cardiovascular Diabetology, Clinical Journal of the American Society of Nephrology, Journal of Biomechanics, International Journal of Nursing Studies and Biomedicines.

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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