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:

Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale, Emma Bluemke, Vaanathi Sundaresan, et al.
Neuron (2022) Vol. 110, Iss. 23, pp. 3866-3881
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

The foundation and architecture of precision medicine in neurology and psychiatry
Harald Hampel, Peng Gao, Jeffrey L. Cummings, et al.
Trends in Neurosciences (2023) Vol. 46, Iss. 3, pp. 176-198
Open Access | Times Cited: 67

Functional connectomics in depression: insights into therapies
Ya Chai, Yvette I. Sheline, Desmond J. Oathes, et al.
Trends in Cognitive Sciences (2023) Vol. 27, Iss. 9, pp. 814-832
Open Access | Times Cited: 48

The evolution of Big Data in neuroscience and neurology
Laura Dipietro, Paola Gonzalez‐Mego, Ciro Ramos‐Estebanez, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 23

The power of many brains: Catalyzing neuropsychiatric discovery through open neuroimaging data and large-scale collaboration
Bin Lü, Xiao Chen, F. Xavier Castellanos, et al.
Science Bulletin (2024) Vol. 69, Iss. 10, pp. 1536-1555
Open Access | Times Cited: 9

Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Zhiyi Chen, Bowen Hu, Xuerong Liu, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 17

MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning
Peng Liang, Songyue Cai, Zongqian Wu, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103225-103225
Open Access | Times Cited: 7

Multistage transfer learning for medical images
Gelan Ayana, Kokeb Dese, Ahmed Mohammed Abagaro, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 5

The AI Revolution in Glaucoma: Bridging Challenges with Opportunities
Fei Li, Biao Wang, Zefeng Yang, et al.
Progress in Retinal and Eye Research (2024) Vol. 103, pp. 101291-101291
Closed Access | Times Cited: 4

Automated Quality Assessment Using Appearance-Based Simulations and Hippocampus Segmentation on Low-Field Paediatric Brain MR Images
Vaanathi Sundaresan, Nicola K. Dinsdale
Lecture notes in computer science (2025), pp. 41-52
Closed Access

Stacking models of brain dynamics to improve prediction of subject traits in fMRI
Ben Griffin, Christine Ahrends, Chetan Gohil, et al.
Imaging Neuroscience (2024) Vol. 2, pp. 1-22
Open Access | Times Cited: 3

Investigating the Feasibility of Assessing Depression Severity and Valence-Arousal with Wearable Sensors Using Discrete Wavelet Transforms and Machine Learning
Abdullah Ahmed, Jayroop Ramesh, Sandipan Ganguly, et al.
Information (2022) Vol. 13, Iss. 9, pp. 406-406
Open Access | Times Cited: 14

An automated method for tendon image segmentation on ultrasound using grey-level co-occurrence matrix features and hidden Gaussian Markov random fields
Isabelle Scott, David Connell, Derek E. Moulton, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107872-107872
Open Access | Times Cited: 6

A Systematic Evaluation of Machine Learning-based Biomarkers for Major Depressive Disorder across Modalities
Nils R. Winter, Julian Blanke, Ramona Leenings, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5

The Biology of Mental Disorders: Progress at Last
Steven E. Hyman
Daedalus (2023) Vol. 152, Iss. 4, pp. 186-211
Open Access | Times Cited: 5

SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis
Nicola K. Dinsdale, Mark Jenkinson, Ana IL Namburete
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 11460-11471
Open Access | Times Cited: 4

Prototype Learning for Explainable Brain Age Prediction
Linde S. Hesse, Nicola K. Dinsdale, Ana I. L. Namburete
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 7888-7898
Open Access | Times Cited: 1

Computer-aided extraction of select MRI markers of cerebral small vessel disease: A systematic review
Jiyang Jiang, Dadong Wang, Yang Song, et al.
NeuroImage (2022) Vol. 261, pp. 119528-119528
Open Access | Times Cited: 7

Anticipatory reward dysfunction in alcohol dependence: An electroencephalography monetary incentive delay task study
Mica Komarnyckyj, Chris Retzler, Robert Whelan, et al.
Addiction Neuroscience (2023) Vol. 8, pp. 100116-100116
Open Access | Times Cited: 2

UniFed: A unified deep learning framework for segmentation of partially labelled, distributed neuroimaging data
Nicola K. Dinsdale, Mark Jenkinson, Ana IL Namburete
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Machine learning in solid organ transplantation: Charting the evolving landscape
Badi Rawashdeh, Haneen Al‐Abdallat, Emre Arpalı, et al.
World Journal of Transplantation (2024) Vol. 15, Iss. 1
Closed Access

Navigating the genomic landscape: A deep dive into clinical genetics with deep learning
Manmeet Kaur, Vandana Singh, Arshiya Khan, et al.
Elsevier eBooks (2024), pp. 185-224
Closed Access

Towards collaborative data science in mental health research: The ECNP NeuroImaging Network Accessible Data Repository
Adyasha Khuntia, Madalina-Octavia Buciuman, John F. Fanning, et al.
Neuroscience Applied (2024), pp. 105407-105407
Open Access

Disentangling disorder-specific variation is key for precision psychiatry in autism
Aidas Aglinskas, Emily Schwartz, Stefano Anzellotti
Frontiers in Behavioral Neuroscience (2023) Vol. 17
Open Access | Times Cited: 1

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