Hui Ai

473 citations
52 papers · 258 · h-index 9

Impact in

Papers in

Hui Ai

42 papers receiving 254 citations

Peers

Hui Ai
Comparison fields: 5 of 40
  • Cardiology and Cardiovascular Medicine 145
  • Endocrine and Autonomic Systems 31
  • Internal Medicine 13
  • Physiology 82
  • Pulmonary and Respiratory Medicine 72
Replace Songkwan Silaruks with:
Songkwan Silaruks Thailand
Koji Yoshie Japan
Ryuichi Ushijima Japan
Mehmet Akif Düzenli Türkiye
Min Su Hyon South Korea
Rypko Beukema Netherlands
Fotis Kardaras Greece
Sven Moebius‐Winkler Germany
A. McLellan Australia
Finn Michael Karlsen Denmark
Hui Ai relative to Songkwan Silaruks Thailand Songkwan Silaruks's profile →
Citations per field
00.5×6.4×
Songkwan Silaruks · 1×
Citations per year

Countries citing papers authored by Hui Ai

Since Specialization
Citations

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

Fields of papers citing papers by Hui Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202244
2 201626
3 201826
4 200716
5 202313
6 201610
7 20239
8 20189
9 20159
10 20237
11 20067
12 20216
13 20235
14 20234
15 20244
16 20234
17 20234
18 20194
19 20204
20 20064

About Hui Ai

Hui Ai is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 52 papers that have together received 258 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (23 papers), Acute Myocardial Infarction Research (16 papers), Coronary Interventions and Diagnostics (11 papers), Cardiovascular and Diving-Related Complications (11 papers), Atrial Fibrillation Management and Outcomes (8 papers), Cardiac Imaging and Diagnostics (8 papers), Cardiovascular Disease and Adiposity (6 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (145 citations), Endocrine and Autonomic Systems (31 citations), Internal Medicine (13 citations), Physiology (82 citations) and Pulmonary and Respiratory Medicine (72 citations). Hui Ai has collaborated with scholars based in China, United States and Belarus. Frequent co-authors include Wei Gong, Bin Que, Shaoping Nie, Hai Gao, Jingyao Fan, Shaoping Nie, Wen Zheng, Xiao Wang, Changsheng Ma and Xiao Wang. Their work appears in journals such as American Heart Journal, Sleep Medicine, BMJ Open Respiratory Research, European Journal of Preventive Cardiology and Journal of the American Heart Association.

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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