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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:

Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images
Alan Le Goallec, Samuel Diai, Sasha Collin, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Biomarkers of aging
Hainan Bao, Jiani Cao, Mengting Chen, et al.
Science China Life Sciences (2023) Vol. 66, Iss. 5, pp. 893-1066
Open Access | Times Cited: 194
BMI-adjusted adipose tissue volumes exhibit depot-specific and divergent associations with cardiometabolic diseases
Saaket Agrawal, Marcus D. R. Klarqvist, Nathaniel Diamant, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 50
Regional and global hotspots of arsenic contamination of topsoil identified by deep learning
Mengting Wu, Chongchong Qi, Sybil Derrible, et al.
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 22
Dual-stream deep learning integrated multimodal sensors for complex stimulus detection in intelligent sensory systems
Kyobin Keum, Jee Young Kwak, Jongmin Rim, et al.
Nano Energy (2024) Vol. 122, pp. 109342-109342
Closed Access | Times Cited: 21
Biomarkers of ageing: Current state‐of‐art, challenges, and opportunities
Ruiye Chen, Yueye Wang, Shiran Zhang, et al.
MedComm – Future Medicine (2023) Vol. 2, Iss. 2
Open Access | Times Cited: 26
A biomarker framework for liver aging: the Aging Biomarker Consortium consensus statement
Mengmeng Jiang, Zhuozhao Zheng, Xuan Wang, et al.
Life Medicine (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 13
Brain structure ages—A new biomarker for multi‐disease classification
Huy‐Dung Nguyen, Michaël Clément, Boris Mansencal, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 1
Open Access | Times Cited: 10
eXplainable Artificial Intelligence (XAI) in aging clock models
Alena Kalyakulina, Igor Yusipov, Alexey Moskalev, et al.
Ageing Research Reviews (2023) Vol. 93, pp. 102144-102144
Open Access | Times Cited: 18
Proteomic analysis of serum extracellular vesicles reveals Fibulin-3 as a new marker predicting liver-related events in MASLD
Sadatsugu Sakane, Hayato Hikita, Kumiko Shirai, et al.
Hepatology Communications (2024) Vol. 8, Iss. 6
Open Access | Times Cited: 7
Older Tissue Age Derived From Abdominal Computed Tomography Biomarkers of Muscle, Fat, and Bone Is Associated With Chronic Conditions and Higher Mortality
Andrew D. Rule, Brandon R. Grossardt, Alexander D. Weston, et al.
Mayo Clinic Proceedings (2024) Vol. 99, Iss. 6, pp. 878-890
Closed Access | Times Cited: 6
scCamAge: A context-aware prediction engine for cellular age, aging-associated bioactivities, and morphometrics
Vishakha Gautam, Subhadeep Duari, Saveena Solanki, et al.
Cell Reports (2025) Vol. 44, Iss. 2, pp. 115270-115270
Open Access
Genomic determinants of biological age estimated by deep learning applied to retinal images
Yu Huang, Mohammad Ghouse Syed, Ruiye Chen, et al.
GeroScience (2025)
Open Access
Deep learning and generative artificial intelligence in aging research and healthy longevity medicine
Dominika Wilczok
Aging (2025)
Open Access
Association between smoking and non-alcoholic fatty liver disease in Southeast Asia
Hassan Mumtaz, Madiha Hameed, Abdul Basit Sangah, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 16
Muscle Steatosis and Fibrosis in Older Adults, From the AJR Special Series on Imaging of Fibrosis
Leon Lenchik, Valentina Mazzoli, Peggy M. Cawthon, et al.
American Journal of Roentgenology (2023) Vol. 222, Iss. 5
Closed Access | Times Cited: 10
Simultaneous measurement of carbon emission and gas temperature via laser-induced breakdown spectroscopy coupled with machine learning
Dongju Kim, Cheolwoo Bong, Seong-kyun Im, et al.
Optics Express (2023) Vol. 31, Iss. 4, pp. 7032-7032
Open Access | Times Cited: 8
Machine learning-based prediction of operation conditions from plasma plume images of atmospheric-pressure plasma reactors
Cheolwoo Bong, Byeong Soo Kim, Mohammed H. A. Ali, et al.
Journal of Physics D Applied Physics (2023) Vol. 56, Iss. 25, pp. 254002-254002
Closed Access | Times Cited: 7
Carbon Dioxide Concentration Estimation in Nonuniform Temperature Fields Based on Single-Pass Tunable Diode Laser Absorption Spectroscopy
Junggon Choi, Cheolwoo Bong, Jihyung Yoo, et al.
Applied Spectroscopy (2023) Vol. 77, Iss. 10, pp. 1194-1205
Closed Access | Times Cited: 4
Deep learning of fundus and optical coherence tomography images enables identification of diverse genetic and environmental factors associated with eye aging
Alan Le Goallec, Samuel Diai, Sasha Collin, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 7
A High-Speed Microscopy System Based on Deep Learning to Detect Yeast-Like Fungi Cells in Blood
Ruiqi Liu, Xiaojie Li, Yingyi Liu, et al.
Bioanalysis (2024) Vol. 16, Iss. 5, pp. 289-303
Closed Access
Deep Regression for Biological Age Estimation in Multiple Organs: Investigations on 40,000 Subjects of the UK Biobank
Veronika Ecker, Marcel Früh, Bin Yang, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 2255-2259
Closed Access
PYPE: A pipeline for phenome-wide association and Mendelian randomization in investigator-driven biobank scale analysis
Taykhoom Dalal, Chirag J. Patel
Patterns (2024) Vol. 5, Iss. 6, pp. 100982-100982
Open Access
Advanced cardiac imaging, machine learning, and heart age for cardiovascular risk stratification
George C.M. Siontis, Chirag J. Patel
The International Journal of Cardiovascular Imaging (2024) Vol. 40, Iss. 7, pp. 1605-1606
Closed Access
EXPRESS: Estimation of the Global Equivalence Ratio of a Swirl Combustor from a Small Number of Absorption Spectra Using Machine Learning
Cheolwoo Bong, Seong-kyun Im, Hyungrok Do, et al.
Applied Spectroscopy (2024) Vol. 78, Iss. 10, pp. 1078-1088
Closed Access
New Coarse-to-Fine Approaches for Age Estimation Based on Separable Convolutions
Y. Huang, Hsin-Lung Wu
IEEE Access (2023) Vol. 11, pp. 130306-130318
Open Access | Times Cited: 1
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