Weiting Huang

1.4k citations
71 papers · 802 · h-index 17

Impact in

Papers in

Weiting Huang

63 papers receiving 789 citations

Peers

Weiting Huang
Comparison fields: 5 of 128
  • Human-Computer Interaction 67
  • Health Informatics 13
  • Cardiology and Cardiovascular Medicine 199
  • Computer Vision and Pattern Recognition 134
  • Cancer Research 85
Replace Francesco La Rosa with:
Francesco La Rosa Italy
Peter Ihnát Czechia
Peiyi Xie China
Ahmed Badawi Egypt
Jing-bin Huang China
Yuwen Chen China
Meng-Ju Hsieh Taiwan
Jef Van den Eynde Belgium
Ko Watanabe Japan
Robert E. Weiss United States
Weiting Huang relative to Francesco La Rosa Italy Francesco La Rosa's profile →
Citations per field
00.5×2.6×
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 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201467
2 202066
3 201053
4 200850
5 201545
6 202043
7 200839
8 202238
9 201536
10 201727
11
SRN: Stacked Regression Network for Real-time 3D Hand Pose Estimation.
201922
12 201421
13 202120
14 202019
15 201618
16 202017
17 201416
18 202416
19 201814
20 201013

About Weiting Huang

Weiting Huang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Epidemiology and Oncology, having authored 71 papers that have together received 802 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (14 papers), Cardiovascular Function and Risk Factors (12 papers), Heart Failure Treatment and Management (7 papers), Cardiac pacing and defibrillation studies (5 papers), Blood Pressure and Hypertension Studies (5 papers), Head and Neck Surgical Oncology (5 papers), Acute Myocardial Infarction Research (5 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Human-Computer Interaction (67 citations), Health Informatics (13 citations), Cardiology and Cardiovascular Medicine (199 citations), Computer Vision and Pattern Recognition (134 citations) and Cancer Research (85 citations). Weiting Huang has collaborated with scholars based in Singapore, China and Taiwan. Frequent co-authors include Chung‐Wu Lin, Haifeng Sun, Qi Qi, Jingyu Wang, Pengfei Ren, Bing‐Yu Chen, Khung Keong Yeo, Carolyn S.P. Lam, Umesh Kadam and Claire Lawson. Their work appears in journals such as Scientific Reports, Acta Oto-Laryngologica, Journal of the American Society of Echocardiography, European Heart Journal and American Journal Of Pathology.

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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