Long Hao Yu

578 total citations
27 papers, 446 citations indexed

About

Long Hao Yu is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Long Hao Yu has authored 27 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 9 papers in Surgery and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Long Hao Yu's work include Cardiac electrophysiology and arrhythmias (7 papers), Cardiac Imaging and Diagnostics (6 papers) and Coronary Interventions and Diagnostics (6 papers). Long Hao Yu is often cited by papers focused on Cardiac electrophysiology and arrhythmias (7 papers), Cardiac Imaging and Diagnostics (6 papers) and Coronary Interventions and Diagnostics (6 papers). Long Hao Yu collaborates with scholars based in South Korea, China and United States. Long Hao Yu's co-authors include Moo Hyun Kim, Bin He, Liqun Wu, Tae‐Ho Park, Randall T. Irvin, Robert S. Hodges, W Paranchych, Joel Xue, Hongzhe Zhang and Kazuaki Mitsudo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Infection and Immunity.

In The Last Decade

Long Hao Yu

25 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long Hao Yu South Korea 12 200 126 87 70 61 27 446
Kohsuke Hagisawa Japan 14 80 0.4× 82 0.7× 157 1.8× 13 0.2× 6 0.1× 41 641
Omid Forouzan United States 12 162 0.8× 29 0.2× 160 1.8× 41 0.6× 18 0.3× 25 641
Hong He China 12 65 0.3× 107 0.8× 148 1.7× 70 1.0× 35 0.6× 41 600
Eun Jung Jun South Korea 15 149 0.7× 244 1.9× 107 1.2× 34 0.5× 9 0.1× 54 583
Ferenc Manczur Hungary 8 65 0.3× 265 2.1× 48 0.6× 16 0.2× 27 0.4× 17 412
Adam S. Barnett United States 15 341 1.7× 54 0.4× 113 1.3× 32 0.5× 6 0.1× 26 597
Mi Hyun Bae South Korea 12 37 0.2× 66 0.5× 116 1.3× 57 0.8× 26 0.4× 44 658
Flavio G. Rocha United States 13 67 0.3× 321 2.5× 147 1.7× 40 0.6× 11 0.2× 31 626
Jan‐Michael Abicht Germany 14 91 0.5× 463 3.7× 89 1.0× 40 0.6× 6 0.1× 63 671

Countries citing papers authored by Long Hao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Long Hao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Hao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Long Hao Yu. A scholar is included among the top collaborators of Long Hao 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 Long Hao Yu. Long Hao 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.
2.
Lv, Zhisheng, et al.. (2023). Optimization Operation of Urban Building Network Based on Continuous Hopfield Neural Network. 270–274. 1 indexed citations
3.
Jin, Xuan, Eun‐Ju Kang, Kwang-Min Lee, et al.. (2023). Role of Dual-Acquisition Noninvasive Cardiac CT Imaging for the Detection of Vasospastic Angina. Journal of Clinical Medicine. 12(11). 3753–3753. 4 indexed citations
4.
Xue, Joel & Long Hao Yu. (2021). Applications of Machine Learning in Ambulatory ECG. SHILAP Revista de lepidopterología. 2(4). 472–494. 19 indexed citations
5.
Yu, Long Hao, et al.. (2018). Activation recovery interval imaging of premature ventricular contraction. PLoS ONE. 13(6). e0196916–e0196916. 4 indexed citations
6.
Pogwizd, Steven M., et al.. (2018). Noninvasive Activation Imaging of Ventricular Arrhythmias by Spatial Gradient Sparse in Frequency Domain—Application to Mapping Reentrant Ventricular Tachycardia. IEEE Transactions on Medical Imaging. 38(2). 525–539. 8 indexed citations
7.
Yu, Long Hao, et al.. (2017). Oral N-acetylcysteine for prophylaxis of contrast-induced nephropathy in patients following coronary angioplasty: A meta-analysis. Experimental and Therapeutic Medicine. 14(2). 1568–1576. 16 indexed citations
8.
Yu, Long Hao, Qi Jin, Zhaoye Zhou, Liqun Wu, & Bin He. (2017). Three-Dimensional Noninvasive Imaging of Ventricular Arrhythmias in Patients With Premature Ventricular Contractions. IEEE Transactions on Biomedical Engineering. 65(7). 1495–1503. 12 indexed citations
9.
Yu, Long Hao, et al.. (2017). Localization of Origins of Premature Ventricular Contraction by Means of Convolutional Neural Network From 12-Lead ECG. IEEE Transactions on Biomedical Engineering. 65(7). 1662–1671. 59 indexed citations
10.
Zhou, Zhaoye, Qi Jin, Long Hao Yu, Liqun Wu, & Bin He. (2016). Noninvasive Imaging of Human Atrial Activation during Atrial Flutter and Normal Rhythm from Body Surface Potential Maps. PLoS ONE. 11(10). e0163445–e0163445. 7 indexed citations
11.
Yu, Long Hao, et al.. (2014). Coronary Flow Reserve in the Remote Myocardium Predicts Left Ventricular Remodeling Following Acute Myocardial Infarction. Yonsei Medical Journal. 55(4). 904–904. 8 indexed citations
12.
Kim, Moo Hyun, Long Hao Yu, Hiroyuki Tanaka, & Kazuaki Mitsudo. (2013). Experience with a Novel Retrograde Wiring Technique for Coronary Chronic Total Occlusion. Journal of Interventional Cardiology. 26(3). 254–258. 7 indexed citations
13.
14.
Kim, Sung‐Whan, Dongwon Lee, Long Hao Yu, et al.. (2012). Mesenchymal stem cells overexpressing GCP-2 improve heart function through enhanced angiogenic properties in a myocardial infarction model. Cardiovascular Research. 95(4). 495–506. 63 indexed citations
15.
Woo, Kwang‐Sook, et al.. (2010). Determination of the Prevalence of Aspirin and Clopidogrel Resistances in Patients with Coronary Artery Disease by using Various Platelet-function Tests. Annals of Laboratory Medicine. 30(5). 460–468. 15 indexed citations
16.
Yu, Long Hao, et al.. (2010). High Plasma Levels of the B-type Natriuretic Peptide in Patients Without Heart Failure: Is There Clinical Significance?. Korean Circulation Journal. 40(3). 141–141. 1 indexed citations
17.
Kim, Moo Hyun, Long Hao Yu, Jong Sung Park, et al.. (2009). Initial Experience of Retrograde Wire Approach in Coronary Chronic Total Occlusion Intervention. Korean Circulation Journal. 39(6). 228–228. 10 indexed citations
18.
Kim, Moo Hyun, Long Hao Yu, & Kazuaki Mitsudo. (2009). A new retrograde wiring technique for chronic total occlusion. Catheterization and Cardiovascular Interventions. 75(1). 117–119. 23 indexed citations
19.
Yu, Long Hao, Moo Hyun Kim, Tae‐Ho Park, et al.. (2008). Improvement of cardiac function and remodeling by transplanting adipose tissue-derived stromal cells into a mouse model of acute myocardial infarction. International Journal of Cardiology. 139(2). 166–172. 39 indexed citations
20.
Yu, Long Hao, P. Doig, Michael R. Carpenter, et al.. (1994). Partial characterization of a Candida albicans fimbrial adhesin. Infection and Immunity. 62(7). 2834–2842. 45 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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