Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 deep learning-based framework for predicting survival-associated groups in colon cancer by integrating multi-omics and clinical data
Siamak Salimy, Hossein Lanjanian, Karim Abbasi, et al.
Heliyon (2023) Vol. 9, Iss. 7, pp. e17653-e17653
Open Access | Times Cited: 14

Showing 14 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 novel hybrid model for lung and colon cancer detection using pre-trained deep learning and KELM
J. Gowthamy, Subashka Ramesh
Expert Systems with Applications (2024) Vol. 252, pp. 124114-124114
Closed Access | Times Cited: 8
Identification of lncRNA associated with the SERPINE1 gene in colorectal cancer through TGF-β pathway
Ghazale Habibzadeh, Khatere Mokhtari, Masoumeh Heshmati, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 110037-110037
Closed Access
An exploration on the involvement of the methyltransferase like 3-m6A‑zinc finger MYM-type containing 1 axis in the progression of liver hepatocellular carcinoma
Wenbiao Chen, Yiteng Meng, Sheng-Gang Zhan, et al.
International Journal of Biological Macromolecules (2025), pp. 142820-142820
Closed Access
Survival-LCS: A Rule-Based Machine Learning Approach to Survival Analysis
Alexa Woodward, Harsh Bandhey, Jason H. Moore, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 431-439
Closed Access | Times Cited: 2
MMGCN: Multi-modal multi-view graph convolutional networks for cancer prognosis prediction
Ping Yang, Wengxiang Chen, Hang Qiu
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108400-108400
Closed Access | Times Cited: 1
Big data analytics enabled deep convolutional neural network for the diagnosis of cancer
Joseph Bamidele Awotunde, Ranjit Panigrahi, Shubham Shukla, et al.
Knowledge and Information Systems (2023) Vol. 66, Iss. 2, pp. 905-931
Closed Access | Times Cited: 2
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
Efficient Colon Cancer Identification Based on Genetics Sequence Linear Support Vector Feature Selection Using Adaptive Ensemble Boosting Fuzzified Deep Neural Network
Stefano Buttò, K. FathimaBibi
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access
Deep Learning Framework for Colorectal Cancer Classification Using ResNet18 Based on Dietary Habits Related to Meat Intake and Cooking Methods
S. Thanga Prasath, C. Navaneethan
IEEE Access (2024) Vol. 12, pp. 99453-99468
Open Access
Advancing Early Detection of Colorectal Adenomatous Polyps via Genetic Data Analysis: A Hybrid Machine Learning Approach
Ahmed S. Maklad, Mohamed A. Mahdy, Amer Malki, et al.
Journal of Computer and Communications (2024) Vol. 12, Iss. 07, pp. 23-38
Open Access
Drug recommendation ranking for personalized medicine using outcomes of retrospective cancer patients
Noemi Scarpato, Silvia Riondino, Aria Nourbakhsh, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124859-124859
Closed Access
Deep learning in clinical genomics-based cancer diagnosis
Sahar Qazi, Roomana Ali, Manisha Jana, et al.
Elsevier eBooks (2024), pp. 245-259
Closed Access
A Multiple Kernel Learning based Model with Clustered Features for Cancer Stage Detection using Gene Datasets
A. Mohammadjani, Fatemeh Zamani
International journal of engineering. Transactions B: Applications (2023) Vol. 36, Iss. 11, pp. 2028-2037
Open Access | Times Cited: 1
Page 1

Scroll to top