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:

A Hybrid Deep Learning Framework with Decision-Level Fusion for Breast Cancer Survival Prediction
Nermin Abdelhakim Othman, Manal A. Abdel-Fattah, Ahlam Talaat Ali
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 50-50
Open Access | Times Cited: 19

Showing 19 citing articles:

A Comprehensive Review of Artificial Intelligence Approaches in Omics Data Processing: Evaluating Progress and Challenges
Ali Mahmoud Ali, Mazin Abed Mohammed
International Journal of Mathematics Statistics and Computer Science (2023) Vol. 2, pp. 114-167
Open Access | Times Cited: 36

A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification
Fatima-Zahrae Nakach, Ali Idri, Evgin Göçeri
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 9

Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis
Zohreh Javanmard, Saba Zarean Shahraki, Kosar Safari, et al.
Frontiers in Oncology (2025) Vol. 14
Open Access | Times Cited: 1

A review of aquaculture: From single modality analysis to multimodality fusion
Wanchao Li, Zhuangzhuang Du, Xianbao Xu, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109367-109367
Closed Access | Times Cited: 5

Integration of ultrasound and mammogram for multimodal classification of breast cancer using hybrid residual neural network and machine learning
Kushangi Atrey, Bikesh Kumar Singh, Narendra Kuber Bodhey
Image and Vision Computing (2024) Vol. 145, pp. 104987-104987
Closed Access | Times Cited: 4

Enhanced Lung Cancer Survival Prediction Using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets
Mohammad R. Salmanpour, Arman Gorji, Amin Mousavi, et al.
Cancers (2025) Vol. 17, Iss. 2, pp. 285-285
Open Access

AI in Breast Cancer Imaging: An Update and Future Trends
Yizhou Chen, Xiaoliang Shao, Kuangyu Shi, et al.
Seminars in Nuclear Medicine (2025)
Open Access

Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models
Nawa Raj Pokhrel, Keshab R. Dahal, Ramchandra Rimal, et al.
Software (2024) Vol. 3, Iss. 1, pp. 47-61
Open Access | Times Cited: 4

Application of machine learning in breast cancer survival prediction using a multimethod approach
Seyed Hassan Hamedi, Hassan Emami, Maryam Khayamzadeh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4

Survival prediction landscape: an in-depth systematic literature review on activities, methods, tools, diseases, and databases
Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Sheraz Ahmed, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 3

Acute Complication Prediction and Diagnosis Model CLSTM-BPR: A Fusion Method of Time Series Deep Learning and Bayesian Personalized Ranking
Xi Chen, Cheng Quan
Tsinghua Science & Technology (2024) Vol. 29, Iss. 5, pp. 1509-1523
Closed Access | Times Cited: 2

Face recognition using ensemble statistical local descriptors
Alaa Eleyan
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 9, pp. 101729-101729
Open Access | Times Cited: 6

Survival Prediction Landscape: An In-Depth Systematic Literature Review on Activities, Methods, Tools, Diseases, and Databases
Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Sheraz Ahmed, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Advances in AI-based genomic data analysis for cancer survival prediction
Deepali Deepali, Neelam Goel, Padmavati Khandnor
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1

CID:Way to Predict Cancer in Early Stage using DL Method of Frame Work
Balaram Yadav Kasula, Srikanth Kolluri, Sachin C. Patil, et al.
(2024), pp. 303-309
Closed Access

Infrared and visible image fusion algorithm based on progressive difference-aware attention
Xu Li, Feng Yu, Y. Zhang
Scientia Sinica Technologica (2024)
Closed Access

Multi-omics-based Machine Learning for the Subtype Classification of Breast Cancer
Asmaa M. Hassan, Safaa M. Naeem, Mohamed A. A. Eldosoky, et al.
Arabian Journal for Science and Engineering (2024)
Open Access

Automated Cellular-Level Dual Global Fusion of Whole-Slide Imaging for Lung Adenocarcinoma Prognosis
Songhui Diao, Pingjun Chen, Eman Showkatian, et al.
Cancers (2023) Vol. 15, Iss. 19, pp. 4824-4824
Open Access | Times Cited: 1

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