Kai Gu

1.2k citations
76 papers · 836 · h-index 16

Impact in

Papers in

Kai Gu

65 papers receiving 811 citations

Peers

Kai Gu
Comparison fields: 5 of 57
  • Cardiology and Cardiovascular Medicine 694
  • Biological Psychiatry 10
  • Health Informatics 6
  • Health Information Management 14
  • Cancer Research 19
Replace Richard T. Carrick with:
Richard T. Carrick United States
Stefan van Duijvenboden United Kingdom
Tom E. Verstraelen Netherlands
Nathaniel Diamant United States
Braxton Lagerman United States
David P. vanMaanen United States
Pilar García-González Spain
Chih‐Min Liu Taiwan
Fernando E.S. Cruz Netherlands
Zhiyong Qian China
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Citations per field
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Richard T. Carrick · 1×
Citations per year

Countries citing papers authored by Kai Gu

Since Specialization
Citations

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

Fields of papers citing papers by Kai Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016134
2 202069
3 201364
4 202053
5 202140
6 201829
7 201728
8 201426
9 202024
10 201822
11 201721
12 202020
13 201419
14 201418
15 201516
16 201516
17 201714
18 202212
19 201912
20 201512

About Kai Gu

Kai Gu is a scholar working on Cardiology and Cardiovascular Medicine, Energy Engineering and Power Technology, Surgery, Orthopedics and Sports Medicine and Pharmacology, having authored 76 papers that have together received 836 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (41 papers), Atrial Fibrillation Management and Outcomes (28 papers), Cardiac electrophysiology and arrhythmias (13 papers), Cardiac pacing and defibrillation studies (9 papers), Cardiovascular Effects of Exercise (2 papers), Cardiac Fibrosis and Remodeling (1 paper), Smart Grid and Power Systems (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (694 citations), Biological Psychiatry (10 citations), Health Informatics (6 citations), Health Information Management (14 citations) and Cancer Research (19 citations). Kai Gu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Minglong Chen, Weizhu Ju, Hongwu Chen, Mingfang Li, Fengxiang Zhang, Bing Yang, Kejiang Cao, Gang Yang, Yazhou Lin and Pipin Kojodjojo. Their work appears in journals such as Pacing and Clinical Electrophysiology, Journal of Interventional Cardiac Electrophysiology, Heart Rhythm, Frontiers in Cardiovascular Medicine and Circulation Arrhythmia and Electrophysiology.

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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