Derek Wu

8.3k total citations · 2 hit papers
18 papers, 5.1k citations indexed

About

Derek Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine and Endocrine and Autonomic Systems. According to data from OpenAlex, Derek Wu has authored 18 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Critical Care and Intensive Care Medicine and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in Derek Wu's work include Ultrasound in Clinical Applications (9 papers), Radiology practices and education (8 papers) and Radiation Dose and Imaging (5 papers). Derek Wu is often cited by papers focused on Ultrasound in Clinical Applications (9 papers), Radiology practices and education (8 papers) and Radiation Dose and Imaging (5 papers). Derek Wu collaborates with scholars based in Canada, United States and Chile. Derek Wu's co-authors include Lily Peng, Dale R. Webster, Marc Coram, Kim Ramasamy, Kasumi Widner, Arunachalam Narayanaswamy, Rajiv Raman, Varun Gulshan, Martin C. Stumpe and Jessica L. Mega and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and CHEST Journal.

In The Last Decade

Derek Wu

17 papers receiving 4.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

2016 4.5k citations Varun Gulshan, Lily Peng et al. JAMA profile →
Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy

2018 250 citations Rory Sayres, Ankur Taly et al. Ophthalmology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Derek Wu Canada	9	3.2k	1.7k	1.2k	774	706	18	5.1k
Kasumi Widner United States	4	3.2k 1.0×	1.8k 1.1×	1.2k 1.0×	806 1.0×	703 1.0×	7	5.1k
Jorge Cuadros United States	14	3.5k 1.1×	2.0k 1.2×	1.2k 1.0×	836 1.1×	667 0.9×	32	5.3k
T. Madams United States	3	2.8k 0.9×	1.4k 0.9×	1.1k 0.9×	716 0.9×	627 0.9×	6	4.5k
Arunachalam Narayanaswamy United States	12	3.0k 0.9×	1.6k 0.9×	1.2k 1.0×	852 1.1×	678 1.0×	15	5.3k
Marc Coram United States	19	2.9k 0.9×	1.6k 0.9×	1.2k 1.0×	740 1.0×	648 0.9×	30	6.2k
Varun Gulshan United States	8	3.2k 1.0×	1.8k 1.1×	1.4k 1.1×	1.5k 2.0×	690 1.0×	9	5.8k
Kim Ramasamy India	28	4.3k 1.3×	3.5k 2.1×	1.2k 0.9×	760 1.0×	658 0.9×	141	7.1k
Yun Liu United States	29	2.4k 0.8×	719 0.4×	2.0k 1.6×	847 1.1×	877 1.2×	112	5.4k
Rajiv Raman India	34	5.6k 1.8×	4.5k 2.7×	1.2k 1.0×	896 1.2×	701 1.0×	232	8.8k
Alastair K. Denniston United Kingdom	42	2.3k 0.7×	2.8k 1.7×	917 0.7×	192 0.2×	1.3k 1.8×	221	6.6k

Countries citing papers authored by Derek Wu

Since Specialization

Citations

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

Fields of papers citing papers by Derek Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Derek Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Derek Wu. A scholar is included among the top collaborators of Derek Wu 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 Derek Wu. Derek Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Prager, Ross, et al.. (2025). Interrater Agreement of Physicians Identifying Lung Sliding Artifact on B-Mode And M-Mode Point of Care Ultrasound (POCUS). PubMed. 10(1). 92–98.

Prager, Ross, et al.. (2024). Medico-legal risks of point-of-care ultrasound: a closed-case analysis of Canadian Medical Protective Association medico-legal cases. The Ultrasound Journal. 16(1). 16–16. 8 indexed citations

Prager, Ross, Derek Wu, Chintan Dave, et al.. (2024). Automated Real-Time Detection of Lung Sliding Using Artificial Intelligence. CHEST Journal. 166(2). 362–370. 7 indexed citations

Wu, Derek, et al.. (2023). Acquisition and retention of lung ultrasound skills by respiratory therapists: A curriculum for respiratory therapists. SHILAP Revista de lepidopterología. 59. 26–32. 3 indexed citations

Dave, Chintan, et al.. (2023). Prospective Real-Time Validation of a Lung Ultrasound Deep Learning Model in the ICU. Critical Care Medicine. 51(2). 301–309. 6 indexed citations

Wu, Derek, et al.. (2022). Enhancing Annotation Efficiency with Machine Learning: Automated Partitioning of a Lung Ultrasound Dataset by View. Diagnostics. 12(10). 2351–2351. 3 indexed citations

Wu, Derek, et al.. (2022). Accurate assessment of the lung sliding artefact on lung ultrasonography using a deep learning approach. Computers in Biology and Medicine. 148. 105953–105953. 18 indexed citations

Arntfield, Robert, et al.. (2021). Development of a convolutional neural network to differentiate among the etiology of similar appearing pathological B lines on lung ultrasound: a deep learning study. BMJ Open. 11(3). e045120–e045120. 50 indexed citations

Arntfield, Robert, et al.. (2021). Automation of Lung Ultrasound Interpretation via Deep Learning for the Classification of Normal versus Abnormal Lung Parenchyma: A Multicenter Study. Diagnostics. 11(11). 2049–2049. 20 indexed citations

10.

Gulshan, Varun, Renu P. Rajan, Kasumi Widner, et al.. (2019). Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India. JAMA Ophthalmology. 137(9). 987–987. 181 indexed citations

11.

Sullivan, Rebecca, Varinder K. Randhawa, Derek Wu, et al.. (2019). Dynamics of the Ghrelin/Growth Hormone Secretagogue Receptor System in the Human Heart Before and After Cardiac Transplantation. Journal of the Endocrine Society. 3(4). 748–762. 9 indexed citations

12.

Sayres, Rory, Ankur Taly, Ehsan Rahimy, et al.. (2018). Assisted reads for diabetic retinopathy using a deep learning algorithm and integrated gradient explanation. Investigative Ophthalmology & Visual Science. 59(9). 1227–1227. 2 indexed citations

13.

Sayres, Rory, Ankur Taly, Ehsan Rahimy, et al.. (2018). Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy. Ophthalmology. 126(4). 552–564. 250 indexed citations breakdown →

14.

Abbas, Ahmed, Tyler Lalonde, Derek Wu, et al.. (2018). Development and Characterization of an ¹⁸F-labeled Ghrelin Peptidomimetic for Imaging the Cardiac Growth Hormone Secretagogue Receptor. Molecular Imaging. 17. 5 indexed citations

15.

Sullivan, Rebecca, Derek Wu, Tyler Lalonde, et al.. (2017). Changes in the Cardiac GHSR1a-Ghrelin System Correlate With Myocardial Dysfunction in Diabetic Cardiomyopathy in Mice. Journal of the Endocrine Society. 2(2). 178–189. 10 indexed citations

16.

Gulshan, Varun, Lily Peng, Marc Coram, et al.. (2016). Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA. 316(22). 2402–2402. 4490 indexed citations breakdown →

17.

Gupta, Dhruv, Derek Wu, Prasant Mohapatra, & Chen‐Nee Chuah. (2009). Experimental Comparison of Bandwidth Estimation Tools for Wireless Mesh Networks. 2891–2895. 35 indexed citations

18.

Landau, Susan, Cindee Madison, Derek Wu, et al.. (2008). P1‐258: Pinpointing change in Alzheimer's disease: Longitudinal FDG‐PET analyses from the Alzheimer's disease neuroimaging initiative. Alzheimer s & Dementia. 4(4S_Part_9). 1 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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