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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:

Segmentation and quantification of adipose tissue by magnetic resonance imaging
Peng Hu, Jun Chen, Wei Shen
Magnetic Resonance Materials in Physics Biology and Medicine (2015) Vol. 29, Iss. 2, pp. 259-276
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Advanced Body Composition Assessment: From Body Mass Index to Body Composition Profiling
Magnus Borga, Janne West, Jimmy D. Bell, et al.
Journal of Investigative Medicine (2018) Vol. 66, Iss. 5, pp. 1-9
Open Access | Times Cited: 486
Body composition techniques
Rebecca Kuriyan
The Indian Journal of Medical Research (2018) Vol. 148, Iss. 5, pp. 648-648
Open Access | Times Cited: 323
How to best assess abdominal obesity
Hongjuan Fang, Elizabeth Berg, Xiaoguang Cheng, et al.
Current Opinion in Clinical Nutrition & Metabolic Care (2018) Vol. 21, Iss. 5, pp. 360-365
Open Access | Times Cited: 217
Small extracellular vesicle-mediated targeting of hypothalamic AMPKα1 corrects obesity through BAT activation
Edward Milbank, Nathalia Romanelli Vicente Dragano, Ismael González‐García, et al.
Nature Metabolism (2021) Vol. 3, Iss. 10, pp. 1415-1431
Closed Access | Times Cited: 65
Fundamental Body Composition Principles Provide Context for Fat-free and Skeletal Muscle Loss with GLP-1 RA Treatments
Grant M. Tinsley, Steven B. Heymsfield
Journal of the Endocrine Society (2024) Vol. 8, Iss. 11
Open Access | Times Cited: 10
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
Reproducibility and repeatability of MRI‐based body composition analysis
Magnus Borga, André Ahlgren, Thobias Romu, et al.
Magnetic Resonance in Medicine (2020) Vol. 84, Iss. 6, pp. 3146-3156
Open Access | Times Cited: 67
MRI adipose tissue and muscle composition analysis—a review of automation techniques
Magnus Borga
British Journal of Radiology (2018), pp. 20180252-20180252
Open Access | Times Cited: 52
Granulation Tissue Eroding the Subchondral Bone Also Promotes New Bone Formation in Ankylosing Spondylitis
J. Bleil, R. Maier, Axel Hempfing, et al.
Arthritis & Rheumatology (2016) Vol. 68, Iss. 10, pp. 2456-2465
Open Access | Times Cited: 51
Fully convolutional networks for automated segmentation of abdominal adipose tissue depots in multicenter water–fat MRI
Taro Langner, Anders Hedström, Katharina Mörwald, et al.
Magnetic Resonance in Medicine (2018) Vol. 81, Iss. 4, pp. 2736-2745
Open Access | Times Cited: 50
Fully Automated and Standardized Segmentation of Adipose Tissue Compartments via Deep Learning in 3D Whole-Body MRI of Epidemiologic Cohort Studies
Thomas Küstner, Tobias Hepp, Marc Fischer, et al.
Radiology Artificial Intelligence (2020) Vol. 2, Iss. 6, pp. e200010-e200010
Open Access | Times Cited: 41
Chronic Insufficient Sleep in Women Impairs Insulin Sensitivity Independent of Adiposity Changes: Results of a Randomized Trial
Faris M. Zuraikat, Blandine Laferrère, Bin Cheng, et al.
Diabetes Care (2023) Vol. 47, Iss. 1, pp. 117-125
Open Access | Times Cited: 17
Fat Matters: Exploring Cancer Risk through the Lens of Computed Tomography and Visceral Adiposity
Federico Greco, Claudia Lucia Piccolo, Valerio D’Andrea, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 453-453
Open Access | Times Cited: 6
Emerging Technologies and their Applications in Lipid Compartment Measurement
Steven B. Heymsfield, Peng Hu, Wei Shen, et al.
Trends in Endocrinology and Metabolism (2015) Vol. 26, Iss. 12, pp. 688-698
Open Access | Times Cited: 47
Quantifying Abdominal Adipose Tissue and Thigh Muscle Volume and Hepatic Proton Density Fat Fraction: Repeatability and Accuracy of an MR Imaging–based, Semiautomated Analysis Method
Michael S. Middleton, William Haufe, Jonathan Hooker, et al.
Radiology (2017) Vol. 283, Iss. 2, pp. 438-449
Open Access | Times Cited: 45
Quantification of visceral adipose tissue by computed tomography and magnetic resonance imaging: reproducibility and accuracy
Lorenzo Pescatori, Edoardo Savarino, Giovanni Mauri, et al.
Radiologia Brasileira (2019) Vol. 52, Iss. 1, pp. 1-6
Open Access | Times Cited: 43
Low muscle mass at initiation of anti-TNF therapy for inflammatory bowel disease is associated with early treatment failure: a retrospective analysis
Darcy Holt, Poornima Varma, Boyd J. Strauss, et al.
European Journal of Clinical Nutrition (2017) Vol. 71, Iss. 6, pp. 773-777
Closed Access | Times Cited: 42
Adipose tissue measurement in clinical research for obesity, type 2 diabetes and NAFLD/NASH
Adrian Vilalta, Julio Gutiérrez, SuZanne Chaves, et al.
Endocrinology Diabetes & Metabolism (2022) Vol. 5, Iss. 3
Open Access | Times Cited: 20
Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs
Sevgi Gökçe Kafalı, Shu‐Fu Shih, Xin-Zhou Li, et al.
Magnetic Resonance Materials in Physics Biology and Medicine (2024) Vol. 37, Iss. 3, pp. 491-506
Open Access | Times Cited: 4
Increased brain cortical thickness associated with visceral fat in adolescents
Ricardo Lutzky Saute, Ricardo Bernardi Soder, José Osmar Alves Filho, et al.
Pediatric Obesity (2016) Vol. 13, Iss. 1, pp. 74-77
Closed Access | Times Cited: 38
Automatic segmentation of abdominal organs and adipose tissue compartments in water-fat MRI: Application to weight-loss in obesity
Jun Shen, Thomas Baum, Christian Cordes, et al.
European Journal of Radiology (2016) Vol. 85, Iss. 9, pp. 1613-1621
Open Access | Times Cited: 36
Automatic Epicardial Fat Segmentation and Quantification of CT Scans Using Dual U-Nets With a Morphological Processing Layer
Qi Zhang, Jianhang Zhou, Bob Zhang, et al.
IEEE Access (2020) Vol. 8, pp. 128032-128041
Open Access | Times Cited: 29
Evolving perspectives on evaluating obesity: from traditional methods to cutting-edge techniques
Heyue Wang, Yaxin Qin, J. Niu, et al.
Annals of Medicine (2025) Vol. 57, Iss. 1
Open Access
Refining visceral adipose tissue quantification: Influence of sex, age, and BMI on single slice estimation in 3D MRI of the German National Cohort
Tobias Haueise, Fritz Schick, Norbert Stefan, et al.
Zeitschrift für Medizinische Physik (2025)
Open Access
Reproducibility of ultrasonography as an assessment tool for abdominal adipose tissue
Nadja Fernandes da Silva, Cláudia Porto Sabino Pinho, Fabíola Lima de Albuquerque, et al.
Brazilian Journal of Kinanthropometry and Human Performance (2025) Vol. 27
Open Access
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