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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:

Advancements in Oncology with Artificial Intelligence—A Review Article
Nikitha Vobugari, Vikranth Raja, Udhav Sethi, et al.
Cancers (2022) Vol. 14, Iss. 5, pp. 1349-1349
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Traditional, complementary, and integrative medicine and artificial intelligence: Novel opportunities in healthcare
Jeremy Y. Ng, Holger Cramer, Myeong Soo Lee, et al.
Integrative Medicine Research (2024) Vol. 13, Iss. 1, pp. 101024-101024
Open Access | Times Cited: 17
Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement
Matteo Ferro, Ugo Giovanni Falagario, Biagio Barone, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2308-2308
Open Access | Times Cited: 27
Future of Artificial Intelligence Applications in Cancer Care: A Global Cross-Sectional Survey of Researchers
Bernardo Pereira Cabral, Luiza Amara Maciel Braga, Shabbir Syed-Abdul, et al.
Current Oncology (2023) Vol. 30, Iss. 3, pp. 3432-3446
Open Access | Times Cited: 24
Advanced Medical Image Segmentation Enhancement: A Particle-Swarm-Optimization-Based Histogram Equalization Approach
Shoffan Saifullah, Rafał Dreżewski
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 923-923
Open Access | Times Cited: 10
Trends in management and outcomes of colon cancer in the United States over 15 years: Analysis of the National Cancer Database
Nir Horesh, Sameh Hany Emile, Zoe Garoufalia, et al.
International Journal of Cancer (2024) Vol. 155, Iss. 1, pp. 139-148
Open Access | Times Cited: 7
A novel MRI-based deep learning networks combined with attention mechanism for predicting CDKN2A/B homozygous deletion status in IDH-mutant astrocytoma
Liqiang Zhang, Rui Wang, Jueni Gao, et al.
European Radiology (2023) Vol. 34, Iss. 1, pp. 391-399
Closed Access | Times Cited: 17
Digital Literacy 5.0 to Enhance Multicultural Education
Dito Anurogo, Hardin La Ramba, Nabila Diyana Putri, et al.
Multicultural Islamic Education Review (2023) Vol. 1, Iss. 2, pp. 109-179
Open Access | Times Cited: 15
Advanced Medical Image Segmentation Enhancement: A Particle Swarm Optimization-Based Histogram Equalization Approach
Shoffan Saifullah, Rafał Dreżewski
(2024)
Open Access | Times Cited: 5
Applications of AI in Cancer Detection — A Review of the Specific Ways in which AI Is Being Used to Detect and Diagnose Various Types of Cancer
Shival Dubey, Shailendra Singh Sikarwar
(2025), pp. 147-166
Closed Access
Recent Advancement in Bioinformatics
Yogesh Kumar Sharma, Leena Arya, Smitha, et al.
(2025), pp. 227-246
Closed Access
The role of Artificial Intelligence in detecting breast lesions using ultrasound
Daria Ziemińska, Karina Motolko, Rafał Burczyk, et al.
Quality in Sport (2025) Vol. 37, pp. 57301-57301
Open Access
Progressive role of artificial intelligence in treatment decision-making in the field of medical oncology
Archana Reddy Bongurala, Dhaval Save, Ankit Virmani
Frontiers in Medicine (2025) Vol. 12
Open Access
Generative artificial intelligence in oncology
Conner Ganjavi, Sam Melamed, Brett Biedermann, et al.
Current Opinion in Urology (2025)
Closed Access
Diagnostic Strategies for Breast Cancer Detection: From Image Generation to Classification Strategies Using Artificial Intelligence Algorithms
Jesus A. Basurto-Hurtado, Irving A. Cruz‐Albarran, Manuel Toledano‐Ayala, et al.
Cancers (2022) Vol. 14, Iss. 14, pp. 3442-3442
Open Access | Times Cited: 22
Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review
Belinda Lokaj, Marie‐Thérèse Pugliese, Karen Kinkel, et al.
European Radiology (2023) Vol. 34, Iss. 3, pp. 2096-2109
Open Access | Times Cited: 13
Application of Artificial Intelligence in the Diagnosis, Treatment, and Prognostic Evaluation of Mediastinal Malignant Tumors
Jiyun Pang, Weigang Xiu, Xuelei Ma
Journal of Clinical Medicine (2023) Vol. 12, Iss. 8, pp. 2818-2818
Open Access | Times Cited: 12
Artificial intelligence in breast cancer imaging: risk stratification, lesion detection and classification, treatment planning and prognosis—a narrative review
Maurizio Cè, Elena Caloro, Maria Elena Pellegrino, et al.
Exploration of Targeted Anti-tumor Therapy (2022), pp. 795-816
Open Access | Times Cited: 21
Molecular mechanisms augmenting resistance to current therapies in clinics among cervical cancer patients
Soumik Das, Achsha Babu, Tamma Medha, et al.
Medical Oncology (2023) Vol. 40, Iss. 5
Open Access | Times Cited: 11
Microfluidic Technology, Artificial Intelligence, and Biosensors As Advanced Technologies in Cancer Screening: A Review Article
Jawad Noor, Ahtshamullah Chaudhry, Saima Batool
Cureus (2023)
Open Access | Times Cited: 10
Connected-SegNets: A Deep Learning Model for Breast Tumor Segmentation from X-ray Images
Mohammad Alkhaleefah, Tan-Hsu Tan, Chuan-Hsun Chang, et al.
Cancers (2022) Vol. 14, Iss. 16, pp. 4030-4030
Open Access | Times Cited: 14
Radiomics Machine Learning Analysis of Clear Cell Renal Cell Carcinoma for Tumour Grade Prediction based on Intra-Tumoural Subregion Heterogeneity
Abeer J. Alhussaini, J. Douglas Steele, Adel Jawli, et al.
(2024)
Open Access | Times Cited: 2
Radiomics Machine Learning Analysis of Clear Cell Renal Cell Carcinoma for Tumour Grade Prediction Based on Intra-Tumoural Sub-Region Heterogeneity
Abeer J. Alhussaini, J. Douglas Steele, Adel Jawli, et al.
Cancers (2024) Vol. 16, Iss. 8, pp. 1454-1454
Open Access | Times Cited: 2
The role of machine learning in detecting primary brain tumors in Saudi pediatric patients through MRI images
Zuhal Y. Hamd, Eyas G. Osman, Amal I. Alorainy, et al.
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 3, pp. 100956-100956
Open Access | Times Cited: 2
AI-Based Glioma Grading for a Trustworthy Diagnosis: An Analytical Pipeline for Improved Reliability
Carla Pitarch, Vicent Ribas, Alfredo Vellido
Cancers (2023) Vol. 15, Iss. 13, pp. 3369-3369
Open Access | Times Cited: 7
Medical imaging and multimodal artificial intelligence models for streamlining and enhancing cancer care: opportunities and challenges
Kevin Pierre, Manas Gupta, Abheek Raviprasad, et al.
Expert Review of Anticancer Therapy (2023) Vol. 23, Iss. 12, pp. 1265-1279
Closed Access | Times Cited: 5
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