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:

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)
Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, et al.
Annals of Operations Research (2021) Vol. 339, Iss. 3, pp. 1077-1118
Open Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

Epileptic Seizures Detection Using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 5780-5780
Open Access | Times Cited: 293

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review
Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104949-104949
Closed Access | Times Cited: 211

Application of artificial intelligence in wearable devices: Opportunities and challenges
Darius Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 213, pp. 106541-106541
Closed Access | Times Cited: 203

Application of artificial intelligence to the electrocardiogram
Zachi I. Attia, David Harmon, Elijah R. Behr, et al.
European Heart Journal (2021) Vol. 42, Iss. 46, pp. 4717-4730
Open Access | Times Cited: 176

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102622-102622
Open Access | Times Cited: 157

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104697-104697
Open Access | Times Cited: 139

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, et al.
Frontiers in Neuroinformatics (2021) Vol. 15
Open Access | Times Cited: 125

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103417-103417
Open Access | Times Cited: 115

Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Smith K. Khare, Victoria Blanes‐Vidal, Esmaeil S. Nadimi, et al.
Information Fusion (2023) Vol. 102, pp. 102019-102019
Open Access | Times Cited: 113

Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
Smith K. Khare, Sonja March, Prabal Datta Barua, et al.
Information Fusion (2023) Vol. 99, pp. 101898-101898
Open Access | Times Cited: 72

From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, et al.
Current Research in Biotechnology (2023) Vol. 7, pp. 100164-100164
Open Access | Times Cited: 54

A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods
Ling Huang, Su Ruan, Yucheng Xing, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103223-103223
Open Access | Times Cited: 15

A Review on Bayesian Deep Learning in Healthcare: Applications and Challenges
Abdullah A. Abdullah, Masoud Muhammed Hassan, Yaseen T. Mustafa
IEEE Access (2022) Vol. 10, pp. 36538-36562
Open Access | Times Cited: 65

Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features
Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi, et al.
Sensors (2021) Vol. 21, Iss. 22, pp. 7710-7710
Open Access | Times Cited: 57

Uncertainty quantification in DenseNet model using myocardial infarction ECG signals
Jahmunah Vicnesh, E. Y. K. Ng, Ru San Tan, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107308-107308
Open Access | Times Cited: 47

CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering
Danial Sharifrazi, Roohallah Alizadehsani, Javad Hassannataj Joloudari, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 3, pp. 2381-2402
Open Access | Times Cited: 42

Application of Artificial Intelligence Techniques for Brain–Computer Interface in Mental Fatigue Detection: A Systematic Review (2011–2022)
Hamwira Yaacob, Farhad Hossain, Sharunizam Shari, et al.
IEEE Access (2023) Vol. 11, pp. 74736-74758
Open Access | Times Cited: 31

Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges
M. Tanveer, M. Sajid, Mushir Akhtar, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 10, pp. 5477-5492
Closed Access | Times Cited: 8

Quantifying the unknown impact of segmentation uncertainty on image-based simulations
Michael Krygier, Tyler LaBonte, Carianne Martinez, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 46

Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images
L. Calefice, Shengxiang Yang, Armaghan Moemeni, et al.
IEEE Access (2021) Vol. 9, pp. 85442-85454
Open Access | Times Cited: 40

Cloud-Cluster: An uncertainty clustering algorithm based on cloud model
Yue Liu, Zitu Liu, Shuang Li, et al.
Knowledge-Based Systems (2023) Vol. 263, pp. 110261-110261
Closed Access | Times Cited: 19

Reproducibility related to machine learning assisted measurements
Éric Benoît, Ammar Mian
Measurement Sensors (2025), pp. 101791-101791
Open Access

Navigating Uncertainty: A User-Perspective Survey of Trustworthiness of AI in Healthcare
Jaya Ojha, Oriana Presacan, Pedro G. Lind, et al.
ACM Transactions on Computing for Healthcare (2025)
Closed Access

Role of artificial intelligence in data-centric additive manufacturing processes for biomedical applications
Saman Mohammadnabi, Nima Moslemy, Hadi Taghvaei, et al.
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials (2025) Vol. 166, pp. 106949-106949
Closed Access

Advancing Sports Cardiology: Integrating Artificial Intelligence with Wearable Devices for Cardiovascular Health Management
Xiao Zheng, Zheng Liu, Jianyu Liu, et al.
ACS Applied Materials & Interfaces (2025)
Closed Access

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