OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Imaging methods for analyzing body composition in human obesity and cardiometabolic disease
Lynn Seabolt, E. Brian Welch, Heidi J. Silver
Annals of the New York Academy of Sciences (2015) Vol. 1353, Iss. 1, pp. 41-59
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Obesity
Pedro González‐Muniesa, Miguel Ángel Martínez‐González, Frank B. Hu, et al.
Nature Reviews Disease Primers (2017) Vol. 3, Iss. 1
Closed Access | Times Cited: 946

Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning
Alexander D. Weston, Panagiotis Korfiatis, Timothy L. Kline, et al.
Radiology (2018) Vol. 290, Iss. 3, pp. 669-679
Closed Access | Times Cited: 299

Aging and Imaging Assessment of Body Composition: From Fat to Facts
Federico Ponti, Aurelia Santoro, Daniele Mercatelli, et al.
Frontiers in Endocrinology (2020) Vol. 10
Open Access | Times Cited: 288

Recent Issues on Body Composition Imaging for Sarcopenia Evaluation
Koeun Lee, Youngbin Shin, Jimi Huh, et al.
Korean Journal of Radiology (2019) Vol. 20, Iss. 2, pp. 205-205
Open Access | Times Cited: 271

Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks
Sven Koitka, Lennard Kroll, Eugen Malamutmann, et al.
European Radiology (2020) Vol. 31, Iss. 4, pp. 1795-1804
Open Access | Times Cited: 107

Association of Sarcopenia and Body Composition With Short-term Outcomes After Liver Resection for Malignant Tumors
Giammauro Berardi, Giulio Antonelli, Marco Colasanti, et al.
JAMA Surgery (2020) Vol. 155, Iss. 11, pp. e203336-e203336
Open Access | Times Cited: 76

Deep Learning and Reinforcement Learning

Artificial intelligence (2023)
Open Access | Times Cited: 32

MR-based assessment of body fat distribution and characteristics
Thomas Baum, Christian Cordes, Michael Dieckmeyer, et al.
European Journal of Radiology (2016) Vol. 85, Iss. 8, pp. 1512-1518
Open Access | Times Cited: 79

Waist circumference is a better predictor of risk for frailty than BMI in the community-dwelling elderly in Beijing
Qiuju Liao, Zheng Zheng, Shuangling Xiu, et al.
Aging Clinical and Experimental Research (2018) Vol. 30, Iss. 11, pp. 1319-1325
Closed Access | Times Cited: 79

Advances in assessing body composition during pregnancy
Jasper Most, Kara L. Marlatt, Abby D. Altazan, et al.
European Journal of Clinical Nutrition (2018) Vol. 72, Iss. 5, pp. 645-656
Open Access | Times Cited: 78

Quantification of skeletal muscle mass: sarcopenia as a marker of overall health in children and adults
Leah A. Gilligan, Alexander J. Towbin, Jonathan R. Dillman, et al.
Pediatric Radiology (2019) Vol. 50, Iss. 4, pp. 455-464
Closed Access | Times Cited: 65

Novel insight into perirenal adipose tissue: A neglected adipose depot linking cardiovascular and chronic kidney disease
Na Huang, En-Wen Mao, Ningning Hou, et al.
World Journal of Diabetes (2020) Vol. 11, Iss. 4, pp. 115-125
Open Access | Times Cited: 60

Obesity history, physical exam, laboratory, body composition, and energy expenditure: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2022
Karlijn Burridge, Sandra M. Christensen, Angela Golden, et al.
Obesity Pillars (2022) Vol. 1, pp. 100007-100007
Open Access | Times Cited: 37

Artificial intelligence and body composition
Prasanna Santhanam, Tanmay Nath, Cheng Peng, et al.
Diabetes & Metabolic Syndrome Clinical Research & Reviews (2023) Vol. 17, Iss. 3, pp. 102732-102732
Closed Access | Times Cited: 18

Precision medicine of obesity as an integral part of type 2 diabetes management – past, present, and future
Łukasz Szczerbiński, José C. Florez
The Lancet Diabetes & Endocrinology (2023) Vol. 11, Iss. 11, pp. 861-878
Closed Access | Times Cited: 18

Atherothrombosis and Thromboembolism: Position Paper from the Second Maastricht Consensus Conference on Thrombosis
Henri M.H. Spronk, Teresa Padró, Joylene E. Siland, et al.
Thrombosis and Haemostasis (2018) Vol. 118, Iss. 02, pp. 229-250
Open Access | Times Cited: 51

Artificial intelligence and abdominal adipose tissue analysis: a literature review
Federico Greco, Carlo Augusto Mallio
Quantitative Imaging in Medicine and Surgery (2021) Vol. 11, Iss. 10, pp. 4461-4474
Open Access | Times Cited: 38

Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies
Nouman Ahmad, Hugo Dahlberg, Hanna Jönsson, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 6

Fat deposition and partitioning for meat production in cattle and sheep
S. M. Liu, Yanyan Yang, Hailing Luo, et al.
Animal nutrition (2024) Vol. 17, pp. 376-386
Open Access | Times Cited: 6

Associations Between Lumbar Vertebral Bone Marrow and Paraspinal Muscle Fat Compositions—An Investigation by Chemical Shift Encoding-Based Water-Fat MRI
Nico Sollmann, Michael Dieckmeyer, Sarah Schlaeger, et al.
Frontiers in Endocrinology (2018) Vol. 9
Open Access | Times Cited: 43

MUSCLE QUALITY, STRENGTH, AND LOWER EXTREMITY PHYSICAL PERFORMANCE IN THE BALTIMORE LONGITUDINAL STUDY OF AGING
Nancy Chiles Shaffer, Elisa Fabbri, Luigi Ferrucci, et al.
The Journal of Frailty & Aging (2017), pp. 1-5
Open Access | Times Cited: 42

Diagnosing sarcopenia and myosteatosis based on chest computed tomography images in healthy Chinese adults
Lingling Tan, Guiyi Ji, Ting Bao, et al.
Insights into Imaging (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 28

Deep Learning-based Quantification of Abdominal Subcutaneous and Visceral Fat Volume on CT Images
Andrew T. Grainger, Arun Krishnaraj, Michael H. Quinones, et al.
Academic Radiology (2020) Vol. 28, Iss. 11, pp. 1481-1487
Open Access | Times Cited: 32

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