Joel Xue

929 total citations
45 papers, 605 citations indexed

About

Joel Xue is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Joel Xue has authored 45 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Joel Xue's work include Cardiac electrophysiology and arrhythmias (31 papers), ECG Monitoring and Analysis (30 papers) and Cardiac Arrhythmias and Treatments (12 papers). Joel Xue is often cited by papers focused on Cardiac electrophysiology and arrhythmias (31 papers), ECG Monitoring and Analysis (30 papers) and Cardiac Arrhythmias and Treatments (12 papers). Joel Xue collaborates with scholars based in United States, Spain and Denmark. Joel Xue's co-authors include Johannes J. Struijk, Jørgen K. Kanters, Claus Graff, Mads P. Sulbæk Andersen, Egon Toft, Michael L. Bernard, Long Hao Yu, Weihua Gao, Yao Chen and Glenn M. Polin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The American Journal of Cardiology.

In The Last Decade

Joel Xue

40 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joel Xue United States 15 551 158 37 33 29 45 605
Robert Kleiman United States 15 629 1.1× 245 1.6× 22 0.6× 23 0.7× 18 0.6× 37 759
Richard Carrick United States 12 331 0.6× 135 0.9× 29 0.8× 46 1.4× 18 0.6× 36 535
Krishnakumar Nair Canada 13 544 1.0× 85 0.5× 48 1.3× 42 1.3× 46 1.6× 74 672
Neil T. Srinivasan United Kingdom 17 860 1.6× 65 0.4× 20 0.5× 38 1.2× 41 1.4× 49 920
Ricardo A. Quinteiro Argentina 9 369 0.7× 159 1.0× 15 0.4× 16 0.5× 16 0.6× 20 420
Edward S.C. Shih Taiwan 10 229 0.4× 90 0.6× 116 3.1× 38 1.2× 57 2.0× 15 364
Loriano Galeotti United States 13 657 1.2× 302 1.9× 77 2.1× 160 4.8× 28 1.0× 29 818
Vito Starc Slovenia 12 436 0.8× 37 0.2× 18 0.5× 57 1.7× 24 0.8× 42 529
Yi Gang United Kingdom 10 488 0.9× 81 0.5× 53 1.4× 84 2.5× 30 1.0× 16 529
Manuel Varela Spain 11 150 0.3× 47 0.3× 16 0.4× 35 1.1× 14 0.5× 30 371

Countries citing papers authored by Joel Xue

Since Specialization
Citations

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

Fields of papers citing papers by Joel Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joel Xue. 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 Joel Xue. The network helps show where Joel Xue may publish in the future.

Co-authorship network of co-authors of Joel Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Joel Xue. A scholar is included among the top collaborators of Joel Xue 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 Joel Xue. Joel Xue 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.
Qiao, Li, et al.. (2024). A comparison of QT algorithms on a South African population using a mobile ECG. Journal of Electrocardiology. 84. 23–23.
2.
Rad, Ali Bahrami, et al.. (2024). A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs. Sensors. 24(17). 5708–5708. 2 indexed citations
3.
Morris, Lynsie, et al.. (2024). MP-470548-001 DIAGNOSTIC ACCURACY OF A MOBILE, ARTIFICIAL INTELLIGENCE-GUIDED, 12-LEAD ECG DEVICE. Heart Rhythm. 21(5). S82–S83.
4.
Xue, Joel, et al.. (2023). MP-453088-11 CLINICAL VALIDATION OF A MOBILE, ARTIFICIAL INTELLIGENCE-GUIDED, 12-LEAD ECG DEVICE. Heart Rhythm. 20(5). S135–S135. 1 indexed citations
5.
Alday, Erick Andres Perez, Ali Bahrami Rad, Matthew A. Reyna, et al.. (2022). Age, sex and race bias in automated arrhythmia detectors. Journal of Electrocardiology. 74. 5–9. 7 indexed citations
6.
Rad, Ali Bahrami, Conner Galloway, Joel Xue, et al.. (2021). Atrial fibrillation detection in outpatient electrocardiogram monitoring: An algorithmic crowdsourcing approach. PLoS ONE. 16(11). e0259916–e0259916. 12 indexed citations
7.
Porta‐Sánchez, Andreu, Louise Harris, Joel Xue, et al.. (2016). T-Wave Morphology Analysis in Congenital Long QT Syndrome Discriminates Patients From Healthy Individuals. JACC. Clinical electrophysiology. 3(4). 374–381. 26 indexed citations
8.
Sauer, Andrew J., Rachel M. Kaplan, Joel Xue, et al.. (2014). Electrocardiographic Markers of Repolarization Heterogeneity During Dofetilide or Sotalol Initiation for Paroxysmal Atrial Fibrillation. The American Journal of Cardiology. 113(12). 2030–2035. 4 indexed citations
9.
Struijk, Johannes J., et al.. (2014). Coherence as a measure of noise in the ECG. VBN Forskningsportal (Aalborg Universitet). 41. 37–40. 2 indexed citations
10.
Huang, Timothy Y., Cynthia A. James, Crystal Tichnell, et al.. (2014). Statistical evaluation of reproducibility of automated ECG measurements: An example from arrhythmogenic right ventricular dysplasia/cardiomyopathy clinic. Biomedical Signal Processing and Control. 13. 23–30. 13 indexed citations
11.
Kligfield, Paul, Fabio Badilini, Ian Rowlandson, et al.. (2013). Comparison of automated measurements of electrocardiographic intervals and durations by computer-based algorithms of digital electrocardiographs. American Heart Journal. 167(2). 150–159.e1. 42 indexed citations
12.
Xue, Joel, et al.. (2012). Combining machine learning and clinical rules to build an algorithm for predicting ICU mortality risk. Computing in Cardiology. 401–404. 3 indexed citations
13.
Miyamoto, Akashi, Hideki Hayashi, Atsushi Taniguchi, et al.. (2011). Clinical and electrocardiographic characteristics of patients with short QT interval in a large hospital-based population. Heart Rhythm. 9(1). 66–74. 23 indexed citations
14.
Xue, Joel, Yao Chen, Xiaodong Han, & Weihua Gao. (2010). Electrocardiographic morphology changes with different type of repolarization dispersions. Journal of Electrocardiology. 43(6). 553–559. 12 indexed citations
15.
Haarmark, Christian, Claus Graff, Mads P. Sulbæk Andersen, et al.. (2009). Reference values of electrocardiogram repolarization variables in a healthy population. Journal of Electrocardiology. 43(1). 31–39. 56 indexed citations
16.
Xue, Joel, Weihua Gao, Yao Chen, & Xiaodong Han. (2009). Identify drug-induced T wave morphology changes by a cell-to-electrocardiogram model and validation with clinical trial data. Journal of Electrocardiology. 42(6). 534–542. 10 indexed citations
17.
Xue, Joel, et al.. (2006). Optimizing Fuzzy Clinical Decision Support Rules Using Genetic Algorithms. PubMed. 2006. 5173–5176. 7 indexed citations
18.
Xue, Joel, et al.. (2006). Fuzzy Expert Systems For Sequential Pattern Recognition For Patient Status Monitoring in Operating Room. PubMed. 2006. 4671–4674. 7 indexed citations
19.
Kesek, Milos, Tomas Jernberg, Bertil Lindahl, Joel Xue, & Anders Englund. (2004). Principal Component Analysis of the T Wave in Patients with Chest Pain and Conduction Disturbances. Pacing and Clinical Electrophysiology. 27(10). 1378–1387. 7 indexed citations
20.
Xue, Joel, et al.. (2001). A new method to incorporate age and gender into the criteria for the detection of acute inferior myocardial infarction. Journal of Electrocardiology. 34(4). 229–234. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Robert Kleiman Breakdown of academic impact, for papers by Richard Carrick Breakdown of academic impact, for papers by Krishnakumar Nair Breakdown of academic impact, for papers by Neil T. Srinivasan Breakdown of academic impact, for papers by Ricardo A. Quinteiro Breakdown of academic impact, for papers by Edward S.C. Shih Breakdown of academic impact, for papers by Loriano Galeotti Breakdown of academic impact, for papers by Vito Starc Breakdown of academic impact, for papers by Yi Gang Breakdown of academic impact, for papers by Manuel Varela
Rankless by CCL
2026