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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:

Diagnosis and Detection of Congenital Diseases in New-Borns or Fetuses Using Artificial Intelligence Techniques: A Systematic Review
Komalpreet Kaur, Charanjit Singh, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3031-3058
Closed Access | Times Cited: 16

Showing 16 citing articles:

A Comprehensive Analysis of Artificial Intelligence Techniques for the Prediction and Prognosis of Lifestyle Diseases
Krishna Modi, Ishbir Singh, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 4733-4756
Closed Access | Times Cited: 17
Prediction of Fetal Brain and Heart Abnormalties using Artificial Intelligence Algorithms: A Review
Ashish Shiwlani
American Journal of Biomedical Science & Research (2024) Vol. 22, Iss. 3, pp. 456-466
Open Access | Times Cited: 7
Bridging Gaps in Artificial Intelligence Adoption for Maternal-Fetal and Obstetric Care: Unveiling Transformative Capabilities and Challenges
Kalyan Tadepalli, Abhijit Das, Tanushree Meena, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 263, pp. 108682-108682
Closed Access
A comprehensive review of artificial intelligence - based algorithm towards fetal facial anomalies detection (2013–2024)
N. Sriraam, Babu Chinta, Suresh Seshadri, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
A Review of Artificial Intelligence-Based Down Syndrome Detection Techniques
Mohd Abu Talib Shaikh, Hazim Saleh Al-Rawashdeh, Abdul Rahaman Wahab Sait
Life (2025) Vol. 15, Iss. 3, pp. 390-390
Open Access
Diagnosis and Management of Sexually Transmitted Infections Using Artificial Intelligence Applications Among Key and General Populations in Sub-Saharan Africa: A Systematic Review and Meta-Analysis
Claris Siyamayambo, Edith Phalane, Nancy Phaswana‐Mafuya
Algorithms (2025) Vol. 18, Iss. 3, pp. 151-151
Open Access
A Comprehensive Study on Deep Learning Models for the Detection of Ovarian Cancer and Glomerular Kidney Disease using Histopathological Images
S J K Jagadeesh Kumar, G. Prabu Kanna, D. Prem Raja, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 3
A novel deep learning-based approach for prediction of neonatal respiratory disorders from chest X-ray images
Ayşe Yildirim, Murat Canayaz
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 4, pp. 635-655
Closed Access | Times Cited: 7
Machine Learning-Based Approaches for the Prognosis and Prediction of Multiple Diseases
Priya Bhardwaj, Yogesh Kumar, Shakti Mishra
(2024), pp. 1-6
Closed Access | Times Cited: 2
Machine Learning Based Approaches for Livestock Symptoms and Diseases Prediction and Classification
Priya Bhardwaj, S J K Jagadeesh Kumar, G. Prabu Kanna, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 2
Detection and Classification of Polycystic Ovary Syndrome using Machine Learning-Based Approaches
Nandini Modi, Yogesh Kumar
(2024), pp. 1-6
Closed Access | Times Cited: 1
AI Algorithms for Modeling the Risk, Progression, and Treatment of Sepsis, Including Early-Onset Sepsis—A Systematic Review
Karolina Tądel, Andrzej Dudek, Iwona Bil‐Lula
Journal of Clinical Medicine (2024) Vol. 13, Iss. 19, pp. 5959-5959
Open Access | Times Cited: 1
A Comprehensive Analysis of Hypertension Disease Risk-Factors, Diagnostics, and Detections Using Deep Learning-Based Approaches
Simranjit Kaur, Khushboo Bansal, Yogesh Kumar, et al.
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 4, pp. 1939-1958
Closed Access | Times Cited: 3

Ashish Shiwlani, Muhammad Umar, Fiza Saeed, et al.
American Journal of Biomedical Science & Research (2024) Vol. 22, Iss. 3
Open Access
Machine Learning Approaches in Virtual Biopsy: A Review of Recent Developments and Applications
Ajaz Shah, Vishwam Modi, Yogesh Kumar
(2024), pp. 1-6
Closed Access
Machine Learning based Approaches for Accurately Diagnosis and Detection of Hypertension Disease
Simranjit Kaur, Khushboo Bansal, Yogesh Kumar
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 169-173
Closed Access | Times Cited: 1
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