Qiao Li

2.6k citations
30 papers · 1.7k indexed · 2 hit papers · h-index 12

Qiao Li

26 papers receiving 1.7k citations

Hit Papers

Classification of 12-lead ECGs: the PhysioNet/Computing i...2942017202620202023100200300400500

Peers

Qiao Li
Comparison fields: 5 of 123
  • Cardiology and Cardiovascular Medicine 1.3k
  • Cognitive Neuroscience 664
  • Health Informatics 22
  • Family Practice 23
  • Signal Processing 102
Replace Ikaro Silva with:
Ikaro Silva United States
Hagen Malberg Germany
Sebastian Zaunseder Germany
Masoumeh Haghpanahi United States
Shivnarayan Patidar India
Awni Hannun Israel
Lina Zhao China
James J. Bailey United States
Shoushui Wei China
Vidya K. Sudarshan Singapore
Qiao Li relative to Ikaro Silva United States Ikaro Silva's profile →
Citations per field
00.5×5.8×
Ikaro Silva · 1×
Citations per year

Countries citing papers authored by Qiao Li

Since Specialization
Citations

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

Fields of papers citing papers by Qiao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Qiao Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Qiao Li Line = papers co-authored together Qiao Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20240
4 20231
5 20227
6 202210
7 20215
8 20211
9 20206
10
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020breakdown →
2020294
11 201842
12 2018185
13 2017110
14 201737
15
AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017breakdown →
2017560
16 201558
17 2014172
18 20134
19 201296
20 201224

About Qiao Li

Qiao Li is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (8 papers), Heart Rate Variability and Autonomic Control (7 papers), Cardiac Valve Diseases and Treatments (4 papers), Non-Invasive Vital Sign Monitoring (4 papers), EEG and Brain-Computer Interfaces (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), Sepsis Diagnosis and Treatment (3 papers) and Aortic Disease and Treatment Approaches (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Cognitive Neuroscience (664 citations) and Health Informatics (22 citations). Qiao Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gari D. Clifford, Chengyu Liu, Benjamin Moody, Li-wei H. Lehman, Ikaro Silva, Roger G. Mark, Alistair E. W. Johnson, Shamim Nemati, C. Rajagopalan and Amit Shah.

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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