Annie Gu

1.0k citations
9 papers · 611 · 1 hit paper · h-index 7

Impact in

Papers in

Annie Gu

9 papers receiving 597 citations

Annie Gu's Hit Papers

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020 2020 · 315 citations
3150+2+4Years since publication100200300

Peers

Annie Gu
Comparison fields: 5 of 43
  • Cardiology and Cardiovascular Medicine 508
  • Cognitive Neuroscience 286
  • Pulmonary and Respiratory Medicine 191
  • Health Informatics 8
  • Artificial Intelligence 101
Replace Zhiqiang He with:
Zhiqiang He China
Caiyun Ma China
WU Xiao-ling China
Qihang Yao China
Milton Pifano Soares Ferreira Brazil
Jéssica A. Canazart Brazil
Joel EW Koh Singapore
Nadi Sadr Australia
Tomás Teijeiro Switzerland
Zahra Ebrahimi Germany
Annie Gu relative to Zhiqiang He China Zhiqiang He's profile →
Citations per field
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Zhiqiang He · 1×
Citations per year

Countries citing papers authored by Annie Gu

Since Specialization
Citations

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

Fields of papers citing papers by Annie Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Annie Gu, 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 Annie Gu Line = papers co-authored together Annie Gu links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020
Hit paper breakdown →
2020315
2 2021141
3 202055
4 202348
5 202232
6 20229
7 20228
8 20222
9 20171

About Annie Gu

Annie Gu is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Issues, ethics and legal aspects, Obstetrics and Gynecology and Reproductive Medicine, having authored 9 papers that have together received 611 indexed citations. Recurring topics across this work include Phonocardiography and Auscultation Techniques (6 papers), ECG Monitoring and Analysis (5 papers), Cardiac electrophysiology and arrhythmias (3 papers), Nursing Diagnosis and Documentation (1 paper), Heart Rate Variability and Autonomic Control (1 paper), Uterine Myomas and Treatments (1 paper), Endometriosis Research and Treatment (1 paper) and Intestinal and Peritoneal Adhesions (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (508 citations), Cognitive Neuroscience (286 citations), Pulmonary and Respiratory Medicine (191 citations), Health Informatics (8 citations) and Artificial Intelligence (101 citations). Annie Gu has collaborated with scholars based in United States, Spain and Portugal. Frequent co-authors include Ali Bahrami Rad, Erick Andres Perez Alday, Ashish Arunkumar Sharma, Gari D. Clifford, Matthew A. Reyna, Andoni Elola, Salman S. Seyedi, Amit Jasvant Shah, Chad J. Robichaux and Chengyu Liu. Their work appears in journals such as Physiological Measurement, Journal of Minimally Invasive Gynecology, Journal of Pathology Informatics, Journal of Electrocardiology and Computing in cardiology.

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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