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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:

A systematic review on machine learning and deep learning techniques in cancer survival prediction
P.B. Deepa, C. Gunavathi
Progress in Biophysics and Molecular Biology (2022) Vol. 174, pp. 62-71
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Deep learning for survival analysis: a review
Simon Wiegrebe, Philipp Kopper, Raphael Sonabend, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 48
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
Survival and data-driven phenotypes in head and neck cancer
Anni Heinolainen, Bao Nguyen, Suvi Renkonen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey
L. Yan, Liangrui Pan, Yijun Peng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109972-109972
Closed Access
Machine learning-based prognostic model for bloodstream infections in hematological malignancies using Th1/Th2 cytokines
Qin Li, Nan Lin, Zuheng Wang, et al.
BMC Infectious Diseases (2025) Vol. 25, Iss. 1
Open Access
Predicting the Survival of Patients With Cancer From Their Initial Oncology Consultation Document Using Natural Language Processing
John-Jose Nuñez, Bonnie Leung, Cheryl Ho, et al.
JAMA Network Open (2023) Vol. 6, Iss. 2, pp. e230813-e230813
Open Access | Times Cited: 12
ResNet for Histopathologic Cancer Detection, the Deeper, the Better?
Ziying Wang, Jinghong Gao, Hangyi Kan, et al.
Journal of Data Science and Intelligent Systems (2023) Vol. 2, Iss. 4, pp. 212-220
Open Access | Times Cited: 11
State of the art review on machine learning and artificial intelligence in the study of neonatal necrotizing enterocolitis
Steven J. McElroy, Shiloh R. Lueschow
Frontiers in Pediatrics (2023) Vol. 11
Open Access | Times Cited: 10
Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinoma
Bingxin Gu, Mingyuan Meng, Mingzhen Xu, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2023) Vol. 50, Iss. 13, pp. 3996-4009
Open Access | Times Cited: 10
Machine Learning Based Personality Classification for Carpooling Application
Mohd Anas, C. Gunavathi, G Kirubasri
(2023), pp. 77-82
Closed Access | Times Cited: 8
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer
Mingyuan Meng, Lei Bi, Michael Fulham, et al.
Lecture notes in computer science (2023), pp. 400-410
Closed Access | Times Cited: 7
Comparing lifetime estimates of probability of default for refinancing operations with survival analysis and ensemble methods
Cayan Atreio Portela Bárcena Saavedra, João Paulo Vieira Costa, Frederico Barros Diniz, et al.
Communications in Statistics Case Studies Data Analysis and Applications (2024) Vol. 10, Iss. 1, pp. 1-26
Closed Access | Times Cited: 2
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: 2
Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction
Mohamed El Amine Elforaici, Emmanuel Montagnon, Francisco Romero, et al.
Medical Image Analysis (2024) Vol. 99, pp. 103346-103346
Open Access | Times Cited: 2
Bibliometric analysis of the global scientific production on machine learning applied to different cancer types
Miguel Ángel Ruiz-Fresneda, Alfonso Gijón, Pablo Morales-Álvarez
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 42, pp. 96125-96137
Open Access | Times Cited: 6
Machine learning for survival analysis in cancer research: A comparative study
Wafaa Tizi, Abdelaziz Berrado
Scientific African (2023) Vol. 21, pp. e01880-e01880
Open Access | Times Cited: 6
SAGL: A self-attention-based graph learning framework for predicting survival of colorectal cancer patients
Ping Yang, Hang Qiu, Xulin Yang, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 249, pp. 108159-108159
Closed Access | Times Cited: 1
A comprehensive review of machine learning applications in cybersecurity: identifying gaps and advocating for cybersecurity auditing
Ndaedzo Rananga, Hein S. Venter
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Adaptive segmentation-to-survival learning for survival prediction from multi-modality medical images
Mingyuan Meng, Bingxin Gu, Michael Fulham, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 1
A Study on Survival Analysis Methods Using Neural Network to Prevent Cancers
Chul‐Young Bae, Bo-Seon Kim, Sun Ha Jee, et al.
Cancers (2023) Vol. 15, Iss. 19, pp. 4757-4757
Open Access | Times Cited: 4
Deep Learning for the Prediction of the Survival of Midline Diffuse Glioma with an H3K27M Alteration
Bowen Huang, Teng-Yun Chen, Yuekang Zhang, et al.
Brain Sciences (2023) Vol. 13, Iss. 10, pp. 1483-1483
Open Access | Times Cited: 4
Deep Learning for Survival Analysis: A Review
Simon Wiegrebe, Philipp Kopper, Raphael Sonabend, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
A novel survival analysis of machine using fuzzy ensemble convolutional based optimal RNN
S. Soundararajan, G. Elangovan, Amir Shaikh, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 120966-120966
Closed Access | Times Cited: 3
Deep-Learning–Based Model for the Prediction of Cancer-Specific Survival in Patients with Spinal Chordoma
Debin Cheng, Dong Liu, Xian Li, et al.
World Neurosurgery (2023) Vol. 178, pp. e835-e845
Closed Access | Times Cited: 2
A weighted distance-based dynamic ensemble regression framework for gastric cancer survival time prediction
Liangchen Xu, Chonghui Guo, Mucan Liu
Artificial Intelligence in Medicine (2023) Vol. 147, pp. 102740-102740
Closed Access | Times Cited: 2
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