Hao-Tien Liu

1.1k total citations
32 papers, 876 citations indexed

About

Hao-Tien Liu is a scholar working on Cardiology and Cardiovascular Medicine, Management Science and Operations Research and Management of Technology and Innovation. According to data from OpenAlex, Hao-Tien Liu has authored 32 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 11 papers in Management Science and Operations Research and 6 papers in Management of Technology and Innovation. Recurrent topics in Hao-Tien Liu's work include Cardiac Arrhythmias and Treatments (8 papers), Atrial Fibrillation Management and Outcomes (8 papers) and Multi-Criteria Decision Making (6 papers). Hao-Tien Liu is often cited by papers focused on Cardiac Arrhythmias and Treatments (8 papers), Atrial Fibrillation Management and Outcomes (8 papers) and Multi-Criteria Decision Making (6 papers). Hao-Tien Liu collaborates with scholars based in Taiwan and United States. Hao-Tien Liu's co-authors include Weikai Wang, Chih-Hong Wang, Hui‐Ling Lee, Ming‐Shien Wen, Po‐Cheng Chang, Hung-Ta Wo, Fen-Chiung Lin, Chung‐Chuan Chou, Chia‐Hung Yang and San‐Jou Yeh and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Hao-Tien Liu

29 papers receiving 845 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao-Tien Liu Taiwan 12 514 250 153 128 108 32 876
Seyed Hossein Iranmanesh Iran 16 365 0.7× 122 0.5× 101 0.7× 94 0.7× 27 0.3× 85 833
Chiu‐Chi Wei Taiwan 13 363 0.7× 170 0.7× 130 0.8× 82 0.6× 159 1.5× 61 767
Danijela Tadić Serbia 16 273 0.5× 80 0.3× 234 1.5× 90 0.7× 145 1.3× 65 713
Raúl Pino Díez Spain 13 215 0.4× 56 0.2× 149 1.0× 169 1.3× 49 0.5× 46 688
Georges Abdul-Nour Canada 17 75 0.1× 102 0.4× 158 1.0× 120 0.9× 72 0.7× 66 846
Ling‐Xiang Mao China 10 396 0.8× 116 0.5× 86 0.6× 60 0.5× 149 1.4× 14 667
Umut Asan Türkiye 12 228 0.4× 83 0.3× 98 0.6× 53 0.4× 138 1.3× 27 571
Kamran Rezaie Iran 14 303 0.6× 70 0.3× 132 0.9× 141 1.1× 60 0.6× 54 857
Hsi-Mei Hsu Taiwan 8 360 0.7× 76 0.3× 72 0.5× 81 0.6× 159 1.5× 17 742
Yi-Zeng Chen China 7 531 1.0× 115 0.5× 111 0.7× 28 0.2× 241 2.2× 9 784

Countries citing papers authored by Hao-Tien Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hao-Tien Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao-Tien Liu. 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 Hao-Tien Liu. The network helps show where Hao-Tien Liu may publish in the future.

Co-authorship network of co-authors of Hao-Tien Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Hao-Tien Liu. A scholar is included among the top collaborators of Hao-Tien Liu 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 Hao-Tien Liu. Hao-Tien Liu 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.
Liu, Zhi‐Yong, Jung‐Sheng Chen, Chung‐Chuan Chou, et al.. (2025). Utilizing 12-lead electrocardiogram and machine learning to retrospectively estimate and prospectively predict atrial fibrillation and stroke risk. Computers in Biology and Medicine. 188. 109871–109871. 1 indexed citations
2.
Chang, Po‐Cheng, et al.. (2024). Vericiguat suppresses ventricular tachyarrhythmias inducibility in a rabbit myocardial infarction model. PLoS ONE. 19(4). e0301970–e0301970. 1 indexed citations
3.
Lee, Hui‐Ling, Po‐Cheng Chang, Hung-Ta Wo, et al.. (2024). Eleclazine Suppresses Ventricular Fibrillation in Failing Rabbit Hearts with Ischemia-Reperfusion Injury Undergoing Therapeutic Hypothermia. Pharmacology. 110(3). 151–164. 1 indexed citations
4.
Liu, Zhi‐Yong, Po‐Cheng Chang, Hao-Tien Liu, et al.. (2023). Comparing Artificial Intelligence-Enabled Electrocardiogram Models in Identifying Left Atrium Enlargement and Long-term Cardiovascular Risk. Canadian Journal of Cardiology. 40(4). 585–594. 1 indexed citations
5.
Huang, Yu‐Chang, Yu‐Chun Hsu, Zhi‐Yong Liu, et al.. (2023). Artificial intelligence-enabled electrocardiographic screening for left ventricular systolic dysfunction and mortality risk prediction. Frontiers in Cardiovascular Medicine. 10. 1070641–1070641. 10 indexed citations
6.
Chang, Po‐Cheng, Zhi‐Yong Liu, Yu‐Chang Huang, et al.. (2023). Machine learning-based prediction of acute mortality in emergency department patients using twelve-lead electrocardiogram. Frontiers in Cardiovascular Medicine. 10. 1245614–1245614. 1 indexed citations
7.
8.
Chou, Chung‐Chuan, et al.. (2022). Obstetric and fetal/neonatal outcomes in pregnant women with frequent premature ventricular complexes and structurally normal heart. International Journal of Cardiology. 371. 160–166.
9.
Yang, Chia‐Hung, et al.. (2022). Left atrial booster-pump function as a predictive parameter for atrial fibrillation in patients with severely dilated left atrium. Quantitative Imaging in Medicine and Surgery. 12(4). 2523–2534. 6 indexed citations
10.
Liu, Hao-Tien, et al.. (2022). From Left Atrial Dimension to Curved M-Mode Speckle-Tracking Images: Role of Echocardiography in Evaluating Patients with Atrial Fibrillation. Reviews in Cardiovascular Medicine. 23(5). 171–171. 3 indexed citations
11.
Liu, Hao-Tien, Hui‐Ling Lee, Hung-Ta Wo, et al.. (2021). P wave duration ≥150 ms predicts poor left atrial function and ablation outcomes in non-paroxysmal atrial fibrillation. Journal of Electrocardiology. 69. 124–131. 6 indexed citations
12.
Liu, Hao-Tien, et al.. (2021). Takotsubo Syndrome Associated with a New Onset Manic Episode: A case report. Journal of International Medical Research. 49(8). 3619095925–3619095925. 1 indexed citations
13.
14.
Hwang, Yi‐Ting, Hui‐Ling Lee, Po‐Cheng Chang, et al.. (2021). A Novel Approach for Predicting Atrial Fibrillation Recurrence After Ablation Using Deep Convolutional Neural Networks by Assessing Left Atrial Curved M-Mode Speckle-Tracking Images. Frontiers in Cardiovascular Medicine. 7. 605642–605642. 16 indexed citations
15.
Liu, Hao-Tien, Chia‐Hung Yang, Hui‐Ling Lee, et al.. (2021). Clinical Outcomes of low-voltage area-guided left atrial linear ablation for non-paroxysmal atrial fibrillation patients. PLoS ONE. 16(12). e0260834–e0260834. 8 indexed citations
16.
Chou, Chung‐Chuan, Hui‐Ling Lee, Gwo‐Jyh Chang, et al.. (2020). Mechanisms of ranolazine pretreatment in preventing ventricular tachyarrhythmias in diabetic db/db mice with acute regional ischemia–reperfusion injury. Scientific Reports. 10(1). 20032–20032. 9 indexed citations
17.
Chen, Jen‐Shi, Wen-Chi Chou, Chi‐Ting Liau, et al.. (2013). Modified Biweekly Oxaliplatin and Capecitabine for Advanced Gastric Cancer: A Retrospective Analysis from a Medical Center. Biomedical Journal. 0(0). 0–0. 7 indexed citations
18.
Liu, Hao-Tien & Chih-Hong Wang. (2010). An advanced quality function deployment model using fuzzy analytic network process. Applied Mathematical Modelling. 34(11). 3333–3351. 49 indexed citations
19.
Liu, Hao-Tien. (2010). Product design and selection using fuzzy QFD and fuzzy MCDM approaches. Applied Mathematical Modelling. 35(1). 482–496. 99 indexed citations
20.
Liu, Hao-Tien, et al.. (2010). An improved fuzzy forecasting method for seasonal time series. Expert Systems with Applications. 37(9). 6310–6318. 30 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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