Wei-Yin Ko

438 total citations · 1 hit paper
7 papers, 218 citations indexed

About

Wei-Yin Ko is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and General Health Professions. According to data from OpenAlex, Wei-Yin Ko has authored 7 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 2 papers in Cognitive Neuroscience and 1 paper in General Health Professions. Recurrent topics in Wei-Yin Ko's work include ECG Monitoring and Analysis (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). Wei-Yin Ko is often cited by papers focused on ECG Monitoring and Analysis (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). Wei-Yin Ko collaborates with scholars based in United States. Wei-Yin Ko's co-authors include Zachi I. Attia, Peter A. Noseworthy, Paul A. Friedman, Rickey E. Carter, Anthony H. Kashou, Michal Cohen‐Shelly, Jae K. Oh, Dennis H. Murphree, Héctor I. Michelena and Maurice Enriquez‐Sarano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Wei-Yin Ko

7 papers receiving 212 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Electrocardiogram screening for aortic valve stenosis using artificial intelligence

2021 126 citations Michal Cohen‐Shelly, Zachi I. Attia et al. European Heart Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei-Yin Ko United States	4	168	44	42	33	32	7	218
Rutger R van de Leur Netherlands	10	214 1.3×	28 0.6×	25 0.6×	20 0.6×	42 1.3×	24	269
Joshua Lampert United States	8	116 0.7×	33 0.8×	25 0.6×	35 1.1×	21 0.7×	32	196
Pulkit Singh United States	6	184 1.1×	44 1.0×	21 0.5×	19 0.6×	20 0.6×	13	252
Joon-myoung Kwon South Korea	5	232 1.4×	42 1.0×	60 1.4×	32 1.0×	56 1.8×	6	296
Conner Galloway United States	5	245 1.5×	35 0.8×	67 1.6×	41 1.2×	33 1.0×	9	321
Irena Andršová Czechia	11	213 1.3×	54 1.2×	32 0.8×	40 1.2×	10 0.3×	27	305
Matthew M. Kalscheur United States	7	234 1.4×	24 0.5×	19 0.5×	37 1.1×	18 0.6×	16	319
Manuel Marina‐Breysse Spain	7	168 1.0×	62 1.4×	46 1.1×	25 0.8×	9 0.3×	20	220
Chih‐Min Liu Taiwan	11	280 1.7×	37 0.8×	23 0.5×	7 0.2×	22 0.7×	60	333
Carolyn J. Park United States	6	257 1.5×	51 1.2×	11 0.3×	14 0.4×	10 0.3×	23	331

Countries citing papers authored by Wei-Yin Ko

Since Specialization

Citations

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

Fields of papers citing papers by Wei-Yin Ko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Yin Ko. 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 Wei-Yin Ko. The network helps show where Wei-Yin Ko may publish in the future.

Co-authorship network of co-authors of Wei-Yin Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Yin Ko. A scholar is included among the top collaborators of Wei-Yin Ko 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 Wei-Yin Ko. Wei-Yin Ko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Üstün, Ahmet, Zheng Yong, Wei-Yin Ko, et al.. (2024). Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model. 15894–15939. 17 indexed citations

2.

Ko, Wei-Yin, et al.. (2024). Understanding and Mitigating Language Confusion in LLMs. 6653–6677. 3 indexed citations

3.

Cohen‐Shelly, Michal, Zachi I. Attia, Paul A. Friedman, et al.. (2021). Electrocardiogram screening for aortic valve stenosis using artificial intelligence. European Heart Journal. 42(30). 2885–2896. 126 indexed citations breakdown →

4.

Kashou, Anthony H., Siva K. Mulpuru, Abhishek Deshmukh, et al.. (2021). An artificial intelligence–enabled ECG algorithm for comprehensive ECG interpretation: Can it pass the ‘Turing test’?. SHILAP Revista de lepidopterología. 2(3). 164–170. 19 indexed citations

5.

Kashou, Anthony H., et al.. (2020). A COMPREHENSIVE ARTIFICIAL INTELLIGENCE-ENABLED ELECTROCARDIOGRAM INTERPRETATION PROGRAM. Journal of the American College of Cardiology. 75(11). 3504–3504. 2 indexed citations

6.

Kashou, Anthony H., et al.. (2020). A comprehensive artificial intelligence–enabled electrocardiogram interpretation program. SHILAP Revista de lepidopterología. 1(2). 62–70. 49 indexed citations

7.

Ko, Wei-Yin, Saki Ito, Benjamin Essayagh, et al.. (2020). DETECTION OF AORTIC STENOSIS USING AN ARTIFICIAL INTELLIGENCE-ENABLED ELECTROCARDIOGRAM. Journal of the American College of Cardiology. 75(11). 2115–2115. 2 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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