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:

RNN-CNN Based Cancer Prediction Model for Gene Expression
Tanima Thakur, Isha Batra, Arun Malik, et al.
IEEE Access (2023) Vol. 11, pp. 131024-131044
Open Access | Times Cited: 8

Showing 8 citing articles:

A review on advancements in feature selection and feature extraction for high-dimensional NGS data analysis
Kasmika Borah, Himanish Shekhar Das, Soumita Seth, et al.
Functional & Integrative Genomics (2024) Vol. 24, Iss. 5
Closed Access | Times Cited: 12

A hybrid learning network with progressive resizing and PCA for diagnosis of cervical cancer on WSI slides
Nitin Kumar Chauhan, Krishna Kant Singh, Amit Kumar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Small Intestine Cancer Prediction using Deep Learning: A Comparative Study of CNNs and RNNs
L. Sherin Beevi, P. M. Joe Prathap, Pulimi Hanith Sai Kumar Reddy, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 2

Enhancing Cardiovascular Disease Detection and Prediction
Saeed Asadi, A. V. Senthil Kumar, Anupam Agrawal
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 361-380
Closed Access | Times Cited: 1

An Effective Approach for Detecting Colon Cancer Using Deep Convolutional Neural Network
Jamel Smida, Mohamed Karim Azizi, Anandh Sam Chandra Bose, et al.
(2024), pp. 1-6
Closed Access

BHBA-GRNet: Cancer detection through improved gene expression profiling using Binary Honey Badger Algorithm and Gene Residual-based Network
Reza Nourian, Seyed Ahmad Motamedi, Mohammadreza Pourfard
Computers in Biology and Medicine (2024) Vol. 184, pp. 109348-109348
Closed Access

The revolutionary impact of deep learning in transcriptomics and gene expression analysis: A genomic paradigm shift
Mritunjay Kr. Ranjan, Arif Md. Sattar, Shilpi Saxena, et al.
Elsevier eBooks (2024), pp. 345-362
Closed Access

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