Ricky Hu

996 total citations
20 papers, 390 citations indexed

About

Ricky Hu is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Obstetrics and Gynecology. According to data from OpenAlex, Ricky Hu has authored 20 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Health Informatics and 5 papers in Obstetrics and Gynecology. Recurrent topics in Ricky Hu's work include Artificial Intelligence in Healthcare and Education (7 papers), Pregnancy and preeclampsia studies (5 papers) and Ultrasound Imaging and Elastography (4 papers). Ricky Hu is often cited by papers focused on Artificial Intelligence in Healthcare and Education (7 papers), Pregnancy and preeclampsia studies (5 papers) and Ultrasound Imaging and Elastography (4 papers). Ricky Hu collaborates with scholars based in Canada, United States and China. Ricky Hu's co-authors include Rohit Singla, Nicolas S. B. Jaeger, K. Murray, Lukas Chrostowski, Michael Caverley, Sudip Shekhar, Hasitha Jayatilleka, Robert Rohling, Chantal Mayer and Kevin Yijun Fan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Express and Medical Education.

In The Last Decade

Ricky Hu

18 papers receiving 374 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ricky Hu Canada 11 162 127 118 84 47 20 390
William Shields United Kingdom 9 293 1.8× 31 0.2× 333 2.8× 118 1.4× 132 2.8× 20 563
Laleh Seyyed-Kalantari Canada 7 311 1.9× 22 0.2× 246 2.1× 211 2.5× 60 1.3× 28 613
Sergey Morozov Netherlands 6 186 1.1× 18 0.1× 171 1.4× 79 0.9× 38 0.8× 10 282
Felix Busch Germany 15 363 2.2× 8 0.1× 394 3.3× 207 2.5× 141 3.0× 55 813
Alexander Thieme Germany 11 37 0.2× 32 0.3× 182 1.5× 61 0.7× 183 3.9× 23 496
M. Abou Dakka Canada 9 27 0.2× 162 1.3× 18 0.2× 38 0.5× 38 0.8× 22 356
Elizabeth Covington United States 13 15 0.1× 50 0.4× 247 2.1× 18 0.2× 119 2.5× 50 459
Sumanth Swaminathan United States 7 12 0.1× 30 0.2× 18 0.2× 44 0.5× 90 1.9× 15 348
Balthasar Schachtner Germany 9 275 1.7× 8 0.1× 255 2.2× 195 2.3× 35 0.7× 22 502

Countries citing papers authored by Ricky Hu

Since Specialization
Citations

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

Fields of papers citing papers by Ricky Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricky Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Ricky Hu. A scholar is included among the top collaborators of Ricky Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ricky Hu. Ricky Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Singla, Rohit, et al.. (2024). Developing a Canadian artificial intelligence medical curriculum using a Delphi study. npj Digital Medicine. 7(1). 323–323. 6 indexed citations
3.
Andrade, Jason G., Marc W. Deyell, Cameron Hague, et al.. (2024). The Role of Machine Learning in the Detection of Cardiac Fibrosis in Electrocardiograms: Scoping Review. JMIR Cardio. 8. e60697–e60697.
4.
Hu, Ricky, et al.. (2023). An evidence-based approach to artificial intelligence education for medical students: A systematic review. SHILAP Revista de lepidopterología. 2(11). e0000255–e0000255. 26 indexed citations
5.
Singla, Rohit, Ricky Hu, Victoria A. Lessoway, et al.. (2023). Automatic measurement of kidney dimensions in two-dimensional ultrasonography is comparable to expert sonographers. Journal of Medical Imaging. 10(3). 34003–34003. 1 indexed citations
6.
Singla, Rohit, et al.. (2023). The Kidneys Are Not All Normal: Transplanted Kidneys and Their Speckle Distributions. Ultrasound in Medicine & Biology. 49(5). 1268–1274. 2 indexed citations
7.
Hu, Ricky, et al.. (2023). An Artificial Intelligence Training Workshop for Diagnostic Radiology Residents. Radiology Artificial Intelligence. 5(2). e220170–e220170. 16 indexed citations
8.
Hu, Ricky, et al.. (2022). Tempering Expectations on the Medical Artificial Intelligence Revolution: The Medical Trainee Viewpoint. JMIR Medical Informatics. 10(8). e34304–e34304. 3 indexed citations
9.
Hu, Ricky, et al.. (2022). Insights from teaching artificial intelligence to medical students in Canada. SHILAP Revista de lepidopterología. 2(1). 63–63. 31 indexed citations
10.
Deeba, Farah, Ricky Hu, Victoria A. Lessoway, et al.. (2022). SWAVE 2.0 Imaging of Placental Elasticity and Viscosity: Potential Biomarkers for Placenta-Mediated Disease Detection. Ultrasound in Medicine & Biology. 48(12). 2486–2501. 10 indexed citations
11.
Deeba, Farah, Ricky Hu, Victoria A. Lessoway, et al.. (2022). Project SWAVE 2.0: An overview of the study design for multimodal placental image acquisition and alignment. MethodsX. 9. 101738–101738. 6 indexed citations
12.
Hu, Ricky, Ishita Chen, Jacob Peoples, et al.. (2022). Radiomics artificial intelligence modelling for prediction of local control for colorectal liver metastases treated with radiotherapy. Physics and Imaging in Radiation Oncology. 24. 36–42. 11 indexed citations
13.
Singla, Rohit, Ricky Hu, Shane E. A. Eaton, et al.. (2021). Health Care Students’ Perspectives on Artificial Intelligence: Countrywide Survey in Canada. JMIR Medical Education. 8(1). e33390–e33390. 98 indexed citations
14.
Deeba, Farah, Ricky Hu, Victoria A. Lessoway, et al.. (2021). A Quantitative Ultrasound Approach for Detecting Placenta-Mediated Diseases. 1–3.
15.
Fan, Kevin Yijun, Ricky Hu, & Rohit Singla. (2020). Introductory machine learning for medical students: A pilot. Medical Education. 54(11). 1042–1043. 10 indexed citations
16.
Hu, Ricky, Rohit Singla, Farah Deeba, & Robert Rohling. (2019). Acoustic Shadow Detection: Study and Statistics of B-Mode and Radiofrequency Data. Ultrasound in Medicine & Biology. 45(8). 2248–2257. 13 indexed citations
17.
Hu, Ricky, et al.. (2019). Automated Placenta Segmentation with a Convolutional Neural Network Weighted by Acoustic Shadow Detection. PubMed. 2019. 6718–6723. 18 indexed citations
18.
Deeba, Farah, Ricky Hu, Jefferson Terry, et al.. (2019). A Spatially Weighted Regularization Method for Attenuation Coefficient Estimation. 2023–2026. 7 indexed citations
19.
Ma, Minglei, K. Murray, Mengyuan Ye, et al.. (2016). Silicon Photonic Polarization Receiver with Automated Stabilization for Arbitrary Input Polarizations. Conference on Lasers and Electro-Optics. STu4G.8–STu4G.8. 18 indexed citations
20.
Jayatilleka, Hasitha, K. Murray, Michael Caverley, et al.. (2015). Wavelength tuning and stabilization of microring-based filters using silicon in-resonator photoconductive heaters. Optics Express. 23(19). 25084–25084. 112 indexed citations

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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