Men‐Tzung Lo

3.6k total citations · 1 hit paper
139 papers, 2.8k citations indexed

About

Men‐Tzung Lo is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Men‐Tzung Lo has authored 139 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Cardiology and Cardiovascular Medicine, 26 papers in Cognitive Neuroscience and 22 papers in Biomedical Engineering. Recurrent topics in Men‐Tzung Lo's work include Heart Rate Variability and Autonomic Control (47 papers), Cardiac electrophysiology and arrhythmias (25 papers) and EEG and Brain-Computer Interfaces (19 papers). Men‐Tzung Lo is often cited by papers focused on Heart Rate Variability and Autonomic Control (47 papers), Cardiac electrophysiology and arrhythmias (25 papers) and EEG and Brain-Computer Interfaces (19 papers). Men‐Tzung Lo collaborates with scholars based in Taiwan, United States and Vietnam. Men‐Tzung Lo's co-authors include Kun Hu, Chien-Hung Yeh, Chen Lin, Chung‐Kang Peng, Yung-Hung Wang, Norden E. Huang, Pa‐Chun Wang, Yen‐Hung Lin, Albert C. Yang and Vera Novak and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Men‐Tzung Lo

130 papers receiving 2.7k citations

Hit Papers

On the computational complexity of the empirical mode dec... 2014 2026 2018 2022 2014 100 200 300
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.

  1. On the computational complexity of the empirical mode decomposition algorithm
    2014 335 citations Chien-Hung Yeh, Kun Hu et al. profile →

Peers

Men‐Tzung Lo
Steve Pincus United States
Shamim Nemati United States
James McNames United States
Daniel Abásolo Spain
Mateo Aboy United States
P. Caminal Spain
Chandan Karmakar Australia
Robert J. Sclabassi United States
Jean-Marc Vésin Switzerland
Diego Liberati Italy
Steve Pincus United States
Men‐Tzung Lo
Citations per year, relative to Men‐Tzung Lo Men‐Tzung Lo (= 1×) peers Steve Pincus

Countries citing papers authored by Men‐Tzung Lo

Since Specialization
Citations

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

Fields of papers citing papers by Men‐Tzung Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Men‐Tzung Lo. 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 Men‐Tzung Lo. The network helps show where Men‐Tzung Lo may publish in the future.

Co-authorship network of co-authors of Men‐Tzung Lo

This figure shows the co-authorship network connecting the top 25 collaborators of Men‐Tzung Lo. A scholar is included among the top collaborators of Men‐Tzung Lo 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 Men‐Tzung Lo. Men‐Tzung Lo 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.
Lo, Men‐Tzung, et al.. (2024). A deep learning-based ADRPPA algorithm for the prediction of diabetic retinopathy progression. Scientific Reports. 14(1). 31772–31772. 7 indexed citations
3.
4.
Lin, Chen, Men‐Tzung Lo, Ping‐Hung Kuo, et al.. (2024). Implication of heart rhythm complexity in predicting long-term outcomes in pulmonary hypertension. Journal of the Formosan Medical Association. 124(9). 852–857.
5.
Lin, Yenn‐Jiang, Shih‐Lin Chang, Yu‐Feng Hu, et al.. (2023). Fractal complexity alternations in paroxysmal atrial fibrillation patients with and without recurrence after pulmonary vein isolation. Annals of Noninvasive Electrocardiology. 28(5). e13074–e13074. 3 indexed citations
6.
Lin, Chin‐Yu, Abigail Louise D. Te, Yenn‐Jiang Lin, et al.. (2023). Characterization and identification of atrial fibrillation drivers in patients with nonparoxysmal atrial fibrillation using simultaneous amplitude frequency electrogram transform. Journal of Cardiovascular Electrophysiology. 34(3). 536–545. 1 indexed citations
7.
Ma, Hsi‐Pin, Chen Lin, Men‐Tzung Lo, et al.. (2023). Heart rhythm complexity analysis in patients with inferior ST-elevation myocardial infarction. Scientific Reports. 13(1). 2 indexed citations
8.
Lin, Yenn‐Jiang, Men‐Tzung Lo, Yu‐Cheng Hsieh, et al.. (2022). Using QRS loop descriptors to characterize the risk of sudden cardiac death in patients with structurally normal hearts. PLoS ONE. 17(2). e0263894–e0263894.
9.
Hsieh, Yu‐Cheng, Yenn‐Jiang Lin, Men‐Tzung Lo, et al.. (2021). Optimal substrate modification strategies using catheter ablation in patients with persistent atrial fibrillation: 3‐year follow‐up outcomes. Journal of Cardiovascular Electrophysiology. 32(6). 1561–1571. 2 indexed citations
10.
Gao, Lei, Arlen Gaba, Hui‐Wen Yang, et al.. (2021). Resting Heartbeat Complexity Predicts All‐Cause and Cardiorespiratory Mortality in Middle‐ to Older‐Aged Adults From the UK Biobank. Journal of the American Heart Association. 10(3). e018483–e018483. 16 indexed citations
11.
Cheng, Ching‐Yuan, et al.. (2021). Evaluation of efficacy and safety of intraoral negative air pressure device in adults with obstructive sleep apnea in Taiwan. Sleep Medicine. 81. 163–168. 2 indexed citations
12.
Lo, Li‐Wei, Tsung‐Ying Tsai, Wen‐Han Cheng, et al.. (2020). Circadian rhythm dynamics on multiscale entropy identifies autonomic dysfunction associated with risk of ventricular arrhythmias and near syncope in chronic kidney disease. Journal of Cardiology. 76(6). 542–548. 6 indexed citations
13.
Tsai, Tsung‐Ying, Li‐Wei Lo, Wen‐Han Cheng, et al.. (2020). Delayed association of acute particulate matter 2.5 air pollution exposure with loss of complexity in cardiac rhythm dynamics: insight from detrended fluctuation analysis. Environmental Science and Pollution Research. 28(9). 10931–10939. 3 indexed citations
14.
Lin, Chen, Thi-Thao Tran, Van-Truong Pham, et al.. (2020). Probing age-related changes in cardio-respiratory dynamics by multimodal coupling assessment. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(3). 33118–33118. 7 indexed citations
15.
Lin, Chen, et al.. (2019). Robust Fetal Heart Beat Detection via R-Peak Intervals Distribution. IEEE Transactions on Biomedical Engineering. 66(12). 3310–3319. 39 indexed citations
16.
Lo, Li‐Wei, Shinya Yamada, Yenn‐Jiang Lin, et al.. (2019). Ultra‐rapid high‐density mapping system with the phase singularity technique is feasible in identifying rotors and focal sources and predicting AF termination. Journal of Cardiovascular Electrophysiology. 30(6). 952–963. 1 indexed citations
17.
Lin, Yenn‐Jiang, Men‐Tzung Lo, Shih‐Lin Chang, et al.. (2016). Benefits of Atrial Substrate Modification Guided by Electrogram Similarity and Phase Mapping Techniques to Eliminate Rotors and Focal Sources Versus Conventional Defragmentation in Persistent Atrial Fibrillation. JACC. Clinical electrophysiology. 2(6). 667–678. 41 indexed citations
18.
Lin, Chin‐Yu, John Silberbauer, Yenn‐Jiang Lin, et al.. (2016). Simultaneous Amplitude Frequency Electrogram Transformation (SAFE-T) Mapping to Identify Ventricular Tachycardia Arrhythmogenic Potentials in Sinus Rhythm. JACC. Clinical electrophysiology. 2(4). 459–470. 23 indexed citations
19.
Wu, Hsien–Tsai, et al.. (2013). Novel Application of a Multiscale Entropy Index as a Sensitive Tool for Detecting Subtle Vascular Abnormalities in the Aged and Diabetic. Computational and Mathematical Methods in Medicine. 2013. 1–8. 7 indexed citations
20.
Lo, Men‐Tzung, et al.. (2003). Volume scattering of distributed microbubbles and its influence on blood flow estimation. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 50(12). 1699–1710. 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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