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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:

Machine Learning in Amyotrophic Lateral Sclerosis: Achievements, Pitfalls, and Future Directions
Vincent Grollemund, Pierre‐François Pradat, Giorgia Querin, et al.
Frontiers in Neuroscience (2019) Vol. 13
Open Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

Applications of machine learning to diagnosis and treatment of neurodegenerative diseases
Monika A. Myszczynska, Poojitha N. Ojamies, Alix M.B. Lacoste, et al.
Nature Reviews Neurology (2020) Vol. 16, Iss. 8, pp. 440-456
Closed Access | Times Cited: 439
Recent advances in the diagnosis and prognosis of amyotrophic lateral sclerosis
Stephen A. Goutman, Orla Hardiman, Ammar Al‐Chalabi, et al.
The Lancet Neurology (2022) Vol. 21, Iss. 5, pp. 480-493
Open Access | Times Cited: 275
Emerging insights into the complex genetics and pathophysiology of amyotrophic lateral sclerosis
Stephen A. Goutman, Orla Hardiman, Ammar Al‐Chalabi, et al.
The Lancet Neurology (2022) Vol. 21, Iss. 5, pp. 465-479
Open Access | Times Cited: 248
Machine learning in concrete science: applications, challenges, and best practices
Zhanzhao Li, Jinyoung Yoon, Rui Zhang, et al.
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 188
Adaptive functional reorganization in amyotrophic lateral sclerosis: coexisting degenerative and compensatory changes
Malek Abidi, Giovanni de Marco, Annabelle Couillandre, et al.
European Journal of Neurology (2019) Vol. 27, Iss. 1, pp. 121-128
Open Access | Times Cited: 86
Widespread subcortical grey matter degeneration in primary lateral sclerosis: a multimodal imaging study with genetic profiling
Eoin Finegan, Stacey Li Hi Shing, Rangariroyashe H. Chipika, et al.
NeuroImage Clinical (2019) Vol. 24, pp. 102089-102089
Open Access | Times Cited: 78
Biomarkers in amyotrophic lateral sclerosis: current status and future prospects
Roisin McMackin, Peter Bede, Caroline Ingre, et al.
Nature Reviews Neurology (2023) Vol. 19, Iss. 12, pp. 754-768
Closed Access | Times Cited: 26
Brainstem pathology in amyotrophic lateral sclerosis and primary lateral sclerosis: A longitudinal neuroimaging study
Peter Bede, Rangariroyashe H. Chipika, Eoin Finegan, et al.
NeuroImage Clinical (2019) Vol. 24, pp. 102054-102054
Open Access | Times Cited: 73
The clinical and radiological profile of primary lateral sclerosis: a population-based study
Eoin Finegan, Rangariroyashe H. Chipika, Stacey Li Hi Shing, et al.
Journal of Neurology (2019) Vol. 266, Iss. 11, pp. 2718-2733
Closed Access | Times Cited: 72
Connectome‐Based Propagation Model in Amyotrophic Lateral Sclerosis
J. Meier, Hannelore K. van der Burgh, Abram D. Nitert, et al.
Annals of Neurology (2020) Vol. 87, Iss. 5, pp. 725-738
Open Access | Times Cited: 67
Accuracy of a machine learning muscle MRI-based tool for the diagnosis of muscular dystrophies
José Verdú-Díaz, Jorge Alonso‐Pérez, Claudia Nuñez‐Peralta, et al.
Neurology (2020) Vol. 94, Iss. 10
Closed Access | Times Cited: 60
ALS blood expression profiling identifies new biomarkers, patient subgroups, and evidence for neutrophilia and hypoxia
William R. Swindell, Colin P. S. Kruse, Edward O. List, et al.
Journal of Translational Medicine (2019) Vol. 17, Iss. 1
Open Access | Times Cited: 57
The French national protocol for Kennedy’s disease (SBMA): consensus diagnostic and management recommendations
Pierre‐François Pradat, E Bernard, Philippe Corcia, et al.
Orphanet Journal of Rare Diseases (2020) Vol. 15, Iss. 1
Open Access | Times Cited: 54
Biomarker discovery studies for patient stratification using machine learning analysis of omics data: a scoping review
Enrico Glaab, Armin Rauschenberger, Rita Banzi, et al.
BMJ Open (2021) Vol. 11, Iss. 12, pp. e053674-e053674
Open Access | Times Cited: 46
Pathological neural networks and artificial neural networks in ALS: diagnostic classification based on pathognomonic neuroimaging features
Peter Bede, Aizuri Murad, Orla Hardiman
Journal of Neurology (2021) Vol. 269, Iss. 5, pp. 2440-2452
Open Access | Times Cited: 45
Success stories of AI in drug discovery - where do things stand?
Kit‐Kay Mak, Madhu Katyayani Balijepalli, Mallikarjuna Rao Pichika
Expert Opinion on Drug Discovery (2021) Vol. 17, Iss. 1, pp. 79-92
Closed Access | Times Cited: 43
Cerebellar pathology in motor neuron disease: neuroplasticity and neurodegeneration
Peter Bede, RangariroyasheH Chipika, Grainne Mulkerrin, et al.
Neural Regeneration Research (2022) Vol. 17, Iss. 11, pp. 2335-2335
Open Access | Times Cited: 29
MRI Clustering Reveals Three ALS Subtypes With Unique Neurodegeneration Patterns
Harold H G Tan, Henk‐Jan Westeneng, Abram D. Nitert, et al.
Annals of Neurology (2022) Vol. 92, Iss. 6, pp. 1030-1045
Open Access | Times Cited: 29
Diffusion Tensor Imaging in Amyotrophic Lateral Sclerosis: Machine Learning for Biomarker Development
Anna Behler, Hans‐Peter Müller, Albert C. Ludolph, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 3, pp. 1911-1911
Open Access | Times Cited: 19
Hippocampal Metabolic Alterations in Amyotrophic Lateral Sclerosis: A Magnetic Resonance Spectroscopy Study
Foteini Christidi, G Argyropoulos, Efstratios Karavasilis, et al.
Life (2023) Vol. 13, Iss. 2, pp. 571-571
Open Access | Times Cited: 18
Emerging perspectives of synaptic biomarkers in ALS and FTD
Karrthik Krishnamurthy, Raj Kumar Pradhan
Frontiers in Molecular Neuroscience (2024) Vol. 16
Open Access | Times Cited: 7
Machine learning hypothesis-generation for patient stratification and target discovery in rare disease: our experience with Open Science in ALS
Joseph Geraci, Ravi Bhargava, Bessi Qorri, et al.
Frontiers in Computational Neuroscience (2024) Vol. 17
Open Access | Times Cited: 6
Artificial intelligence for screening and diagnosis of amyotrophic lateral sclerosis: a systematic review and meta-analysis
Tungki Pratama Umar, Nityanand Jain, Manthia Papageorgakopoulou, et al.
Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration (2024) Vol. 25, Iss. 5-6, pp. 425-436
Closed Access | Times Cited: 6
New technologies and Amyotrophic Lateral Sclerosis – Which step forward rushed by the COVID-19 pandemic?
Susana Pinto, Stefano Quintarelli, Vincenzo Silani
Journal of the Neurological Sciences (2020) Vol. 418, pp. 117081-117081
Open Access | Times Cited: 45
Development and validation of a 1-year survival prognosis estimation model for Amyotrophic Lateral Sclerosis using manifold learning algorithm UMAP
Vincent Grollemund, Gaétan Le Chat, Marie-Sonia Secchi-Buhour, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 45
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