Phillip M. Cheng

2.4k total citations · 1 hit paper
34 papers, 1.7k citations indexed

About

Phillip M. Cheng is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Phillip M. Cheng has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Biomedical Engineering and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Phillip M. Cheng's work include Radiomics and Machine Learning in Medical Imaging (13 papers), Advanced X-ray and CT Imaging (8 papers) and Medical Imaging Techniques and Applications (6 papers). Phillip M. Cheng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), Advanced X-ray and CT Imaging (8 papers) and Medical Imaging Techniques and Applications (6 papers). Phillip M. Cheng collaborates with scholars based in United States, Canada and France. Phillip M. Cheng's co-authors include An Tang, Gabriel Chartrand, Samuel Kadoury, Harshawn Malhi, Christopher Pal, Michal Drozdzal, Simon Turcotte, Eugene Vorontsov, Joseph R. England and Alexandre Cadrin-Chênevert and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Neurophysiology and The American Journal of Cardiology.

In The Last Decade

Phillip M. Cheng

32 papers receiving 1.7k 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.

Deep Learning: A Primer for Radiologists

2017 788 citations Gabriel Chartrand, Phillip M. Cheng et al. Radiographics profile →

Peers

Phillip M. Cheng

RNMI

PRM

Alireza Mehrtash United States

Paras Lakhani United States

Keno K. Bressem Germany

Gilmer Valdés United States

Michael Yeung United States

Gabriel Chartrand Canada

Ken Chang United States

Yunfei Zha China

Dun Jack Fu United Kingdom

Sergios Gatidis Germany

Alireza Mehrtash United States

Phillip M. Cheng

1.2k ×1.2

RNMI

328 ×0.8

482 ×1.3

443 ×1.4

PRM

260 ×0.9

Citations per year, relative to Phillip M. Cheng Phillip M. Cheng (= 1×) peers Alireza Mehrtash

Countries citing papers authored by Phillip M. Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Phillip M. Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip M. Cheng. 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 Phillip M. Cheng. The network helps show where Phillip M. Cheng may publish in the future.

Co-authorship network of co-authors of Phillip M. Cheng

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

All Works

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20 of 20 papers shown

Rattray, Nicholas A., Phillip M. Cheng, Jennifer Myers, et al.. (2023). A developmental formative evaluation of a pilot participatory music program for veterans with housing insecurity. BMC Public Health. 23(1). 1 indexed citations

Duddalwar, Vinay, et al.. (2023). Feminizing Adrenocortical Tumor with Multiple Recurrences: A Case Report. SHILAP Revista de lepidopterología. 16(1). 1033–1040. 1 indexed citations

Ofner, Susan, et al.. (2023). Serial Magnetic Resonance Imaging for Aortic Dilation in Tetralogy of Fallot With Pulmonary Stenosis. The American Journal of Cardiology. 191. 92–100.

Duddalwar, Vinay, et al.. (2023). Localized Multifocal Retroperitoneal Ganglioneuroma with an Infiltrative Appearance on Imaging: A Case Report. SHILAP Revista de lepidopterología. 16(1). 1142–1147. 1 indexed citations

King, Kevin G., et al.. (2022). Perinephric myxoid pseudotumor of fat: a multimodality imaging case series. Abdominal Radiology. 48(5). 1820–1830. 9 indexed citations

Cheng, Phillip M., Emmanuel Montagnon, Rikiya Yamashita, et al.. (2021). Deep Learning: An Update for Radiologists. Radiographics. 41(5). 1427–1445. 105 indexed citations

Cheng, Phillip M., et al.. (2018). Acute eosinophilic appendicitis: a radiologic-pathologic correlation. Clinical Imaging. 51. 337–340. 3 indexed citations

Cheng, Phillip M., et al.. (2017). Detection of high-grade small bowel obstruction on conventional radiography with convolutional neural networks. Abdominal Radiology. 43(5). 1120–1127. 34 indexed citations

Chartrand, Gabriel, Phillip M. Cheng, Eugene Vorontsov, et al.. (2017). Deep Learning: A Primer for Radiologists. Radiographics. 37(7). 2113–2131. 788 indexed citations breakdown →

10.

Cheng, Phillip M. & Harshawn Malhi. (2016). Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images. Journal of Digital Imaging. 30(2). 234–243. 199 indexed citations

11.

Cheng, Phillip M.. (2016). Patient Vertical Centering and Correlation with Radiation Output in Adult Abdominopelvic CT. Journal of Digital Imaging. 29(4). 428–437. 13 indexed citations

12.

King, Kevin G., Mittul Gulati, Harshawn Malhi, et al.. (2015). Quantitative assessment of solid renal masses by contrast-enhanced ultrasound with time–intensity curves: how we do it. Abdominal Imaging. 40(7). 2461–2471. 38 indexed citations

13.

Cheng, Phillip M., Míriam Romero, & Vinay Duddalwar. (2014). Pulmonary Pseudoemboli. Journal of Computer Assisted Tomography. 38(2). 159–162. 8 indexed citations

14.

Cheng, Phillip M., Linda Vachon, & Vinay Duddalwar. (2013). Automated Pediatric Abdominal Effective Diameter Measurements Versus Age-Predicted Body Size for Normalization of CT Dose. Journal of Digital Imaging. 26(6). 1151–1155. 10 indexed citations

15.

Cheng, Phillip M.. (2012). Automated Estimation of Abdominal Effective Diameter for Body Size Normalization of CT Dose. Journal of Digital Imaging. 26(3). 406–411. 18 indexed citations

16.

Lu, David, Surachate Siripongsakun, Jeong Kyong Lee, et al.. (2012). Complete tumor encapsulation on magnetic resonance imaging: A potentially useful imaging biomarker for better survival in solitary large hepatocellular carcinoma. Liver Transplantation. 19(3). 283–291. 21 indexed citations

17.

Cheng, Phillip M. & Richard J. Van Allan. (2006). Superior Sensitivity of Angiographic Detection of Arteriovenous Fistula after Biopsy in a Renal Allograft with CO2 Compared with Iodinated Contrast Medium. Journal of Vascular and Interventional Radiology. 17(12). 1963–1966. 3 indexed citations

18.

Alessio, Adam, Paul E. Kinahan, Phillip M. Cheng, Hubert Vesselle, & Joel S. Karp. (2004). PET/CT scanner instrumentation, challenges, and solutions. Radiologic Clinics of North America. 42(6). 1017–1032. 55 indexed citations

19.

Cheng, Phillip M., et al.. (1997). Alterations in DNA methylation are early, but not initial, events in ovarian tumorigenesis. British Journal of Cancer. 75(3). 396–402. 69 indexed citations

20.

Fogarty, Terence C., Frank Vavak, & Phillip M. Cheng. (1995). Use of the Genetic Algorithm for Load Balancing of Sugar Beet Presses. international conference on Genetic algorithms. 617–624. 16 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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