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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:

Improved motor outcome prediction in Parkinson's disease applying deep learning to DaTscan SPECT images
Matthew P. Adams, Arman Rahmim, Jing Tang
Computers in Biology and Medicine (2021) Vol. 132, pp. 104312-104312
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review
Jyotismita Chaki, Marcin Woźniak
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104223-104223
Closed Access | Times Cited: 51
Machine learning within the Parkinson’s progression markers initiative: Review of the current state of affairs
Raphael T. Gerraty, Allison C. Provost, Lin Li, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 24
Progress and trends in neurological disorders research based on deep learning
Muhammad Shahid Iqbal, Md Belal Bin Heyat, Saba Parveen, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 116, pp. 102400-102400
Closed Access | Times Cited: 9
Review on computational methods for the detection and classification of Parkinson's Disease
Komal Singh, Manish Khare, Ashish Khare, et al.
Computers in Biology and Medicine (2025) Vol. 187, pp. 109767-109767
Closed Access | Times Cited: 1
An Ensemble of CNN Models for Parkinson’s Disease Detection Using DaTscan Images
Ankit Kurmi, Shreya Biswas, Shibaprasad Sen, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1173-1173
Open Access | Times Cited: 37
Artificial intelligence for fracture diagnosis in orthopedic X-rays: current developments and future potential
Sanskrati Sharma
SICOT-J (2023) Vol. 9, pp. 21-21
Open Access | Times Cited: 20
Parkinson’s disease diagnosis using neural networks: Survey and comprehensive evaluation
M. Tanveer, Ashraf Haroon Rashid, Rahul Kumar, et al.
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102909-102909
Closed Access | Times Cited: 26
GAMMA-PD: Graph-Based Analysis of Multi-Modal Motor Impairment Assessments in Parkinson’s Disease
Favour Nerrise, Alice Louise Heiman, Ehsan Adeli
Lecture notes in computer science (2025), pp. 57-68
Closed Access
A foundation model for generalizable cancer diagnosis and survival prediction from histopathological images
Zhaochang Yang, Tai Wei, Ying Liang, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Neighborhood rough set-based multi-attribute prediction approach and its application of gout patients
Juncheng Bai, Bingzhen Sun, Xiaoli Chu, et al.
Applied Soft Computing (2021) Vol. 114, pp. 108127-108127
Closed Access | Times Cited: 26
Detecting Parkinson's Disease with Image Classification
S. Kanagaraj, M. Hema, M. Nageswara Guptha, et al.
2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) (2022), pp. 1-5
Closed Access | Times Cited: 18
Chaudhuri’s Dashboard of Vitals in Parkinson’s syndrome: an unmet need underpinned by real life clinical tests
Mubasher A. Qamar, Silvia Rota, Lucia Batzu, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 10
A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson’s Disease: Past Studies and Future Perspectives
Arti Rana, Ankur Dumka, Rajesh Singh, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2708-2708
Open Access | Times Cited: 15
PARNet: Deep neural network for the diagnosis of parkinson's disease
Ali Keleş, Aytürk Keleş, Mustafa Berk Keles, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 12, pp. 35781-35793
Closed Access | Times Cited: 7
Convolutional Neural Network-Based Parkinson Disease Classification Using SPECT Imaging Data
Jigna J. Hathaliya, Raj Parekh, Nisarg Patel, et al.
Mathematics (2022) Vol. 10, Iss. 15, pp. 2566-2566
Open Access | Times Cited: 12
Automated Parkinson's Disease Detection: A Review of Techniques, Datasets, Modalities, and Open Challenges
Sheerin Zadoo, Yashwant Singh, Pradeep Kumar Singh
International Journal on Smart Sensing and Intelligent Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Machine learning for predicting cognitive decline within five years in Parkinson’s disease: Comparing cognitive assessment scales with DAT SPECT and clinical biomarkers
Arman Gorji, Ali Fathi Jouzdani
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0304355-e0304355
Open Access | Times Cited: 2
Role of Artificial Intelligence Techniques and Neuroimaging Modalities in Detection of Parkinson’s Disease: A Systematic Review
Nikita Aggarwal, Barjinder Singh Saini, Savita Gupta
Cognitive Computation (2023) Vol. 16, Iss. 4, pp. 2078-2115
Closed Access | Times Cited: 6
BERT Learns From Electroencephalograms About Parkinson’s Disease: Transformer-Based Models for Aid Diagnosis
Alberto Nogales, Álvaro J. García‐Tejedor, Ana M. Maitín, et al.
IEEE Access (2022) Vol. 10, pp. 101672-101682
Open Access | Times Cited: 7
Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network
Haijun Lei, Yuchen Zhang, Hancong Li, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105859-105859
Closed Access | Times Cited: 5
Predicting Optimal Deep Brain Stimulation Parameters for Parkinson's Disease using Functional MRI and MSVM
S K Muruganandham, S Krithika, Zaid Alsalami, et al.
(2024), pp. 1-5
Closed Access
An Ensemble of the Convolutional Neural Network Model with Fuzzy Fusion Rank Algorithm for the Identification of Parkinson’s Disease Using Magnetic Resonance Imaging Images
M. Mahendran, R. Visalakshi
Biomedical and Biotechnology Research Journal (BBRJ) (2024) Vol. 8, Iss. 2, pp. 181-186
Open Access
Study on Applications of Radiomics in the Clinical Evaluation of Parkinson’s Disease
福利 韦
Advances in Clinical Medicine (2024) Vol. 14, Iss. 10, pp. 1079-1085
Closed Access
Stack Ensemble Oriented Parkinson Disease Prediction Using Machine Learning Approaches Utilizing GridSearchCV-Based Hyper Parameter Tuning
Naaima Suroor, Arunima Jaiswal, Nitin Sachdeva
Critical Reviews in Biomedical Engineering (2022) Vol. 50, Iss. 5, pp. 39-58
Closed Access | Times Cited: 2
The Influence of Computer Vision Algorithm on Brain Function Network Related To Parkinson’s Disease
June Wang, Meng Wang
2022 International Conference on Artificial Intelligence in Everything (AIE) (2022), pp. 63-67
Closed Access | Times Cited: 1
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