Weiting Huang

1.4k citations
72 papers · 868 · h-index 18

Impact in

Papers in

Weiting Huang

63 papers receiving 852 citations

Peers

Weiting Huang
Comparison fields: 5 of 118
  • Human-Computer Interaction 76
  • Health Informatics 14
  • Cardiology and Cardiovascular Medicine 159
  • Computer Vision and Pattern Recognition 144
  • Health Information Management 27
Replace Francesco La Rosa with:
Francesco La Rosa Italy
Peiyi Xie China
Ahmed Badawi Egypt
Na Zhang China
Peter Ihnát Czechia
Jing-bin Huang China
Ben Glover United Kingdom
Kunal Nagpal United States
Heewon Chung South Korea
Aaron Peace United Kingdom
Weiting Huang relative to Francesco La Rosa Italy Francesco La Rosa's profile →
Citations per field
00.5×4.5×
Francesco La Rosa · 1×
Citations per year

Countries citing papers authored by Weiting Huang

Since Specialization
Citations

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

Fields of papers citing papers by Weiting Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202072
2 201471
3 201060
4 200851
5 202051
6 201548
7 202243
8 200839
9 201538
10 201729
11
SRN: Stacked Regression Network for Real-time 3D Hand Pose Estimation.
201923
12 202421
13 201421
14 201621
15 202121
16 202019
17 200619
18 202017
19 201416
20 201814

About Weiting Huang

Weiting Huang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Computer Vision and Pattern Recognition and Oncology, having authored 72 papers that have together received 868 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (11 papers), Heart Failure Treatment and Management (7 papers), Acute Myocardial Infarction Research (4 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac pacing and defibrillation studies (3 papers), Human Pose and Action Recognition (3 papers), Cardiac Arrhythmias and Treatments (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Human-Computer Interaction (76 citations), Health Informatics (14 citations), Cardiology and Cardiovascular Medicine (159 citations), Computer Vision and Pattern Recognition (144 citations) and Health Information Management (27 citations). Weiting Huang has collaborated with scholars based in Singapore, China and Taiwan. Frequent co-authors include Chung‐Wu Lin, Jingyu Wang, Qi Qi, Haifeng Sun, Pengfei Ren, Bing‐Yu Chen, Carolyn S.P. Lam, Khung Keong Yeo, Claire Lawson and Yih‐Min Wu. Their work appears in journals such as Scientific Reports, Journal of the American College of Cardiology, Journal of the American Society of Echocardiography, Acta Oto-Laryngologica and European Heart Journal.

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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