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:

Deep learning recognition of diseased and normal cell representation
Muhammad Shahid Iqbal, Iftikhar Ahmad, Bin Luo, et al.
Transactions on Emerging Telecommunications Technologies (2020) Vol. 32, Iss. 7
Closed Access | Times Cited: 39

Showing 26-50 of 39 citing articles:

Prediction of higher heating values based on imminent analysis by using regression analysis and artificial neural network for bioenergy resources
Pawan Kumar Singh, Sansar Singh Chauhan, Abhishek Sharma, et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2023)
Closed Access | Times Cited: 3

COOBoostR: An Extreme Gradient Boosting-Based Tool for Robust Tissue or Cell-of-Origin Prediction of Tumors
Sungmin Yang, Kyungsik Ha, Woojeung Song, et al.
Life (2022) Vol. 13, Iss. 1, pp. 71-71
Open Access | Times Cited: 4

Drug investigation tool: Identifying the effect of drug on cell image by using improved correlation
Muhammad Shahid Iqbal, Iftikhar Ahmad, Muhammad Asif, et al.
Software Practice and Experience (2020) Vol. 51, Iss. 2, pp. 260-270
Closed Access | Times Cited: 5

Recent Advances of Deep Learning in Biology
Muhammad Shahid Iqbal, Iftikhar Ahmad, Tamoor Khan, et al.
Studies in computational intelligence (2021), pp. 709-732
Closed Access | Times Cited: 4

A fragmented neural network ensemble method and its application to image classification
Xu Zhang, Shuai Liu, Xueli Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

ZFNet and deep Maxout network based cancer prediction using gene expression data
G. Vijaya, K. V. Ramesh, G. Sathish Kumar
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107038-107038
Closed Access

Hemodynamic Analysis and Diagnosis Based on Multi-Deep Learning Models
Xing Deng, Feipeng Da, Haijian Shao
Fluid dynamics & materials processing (2023) Vol. 19, Iss. 6, pp. 1369-1383
Open Access | Times Cited: 1

A More Effective Zero-DCE Variant: Zero-DCE Tiny
Weiwen Mu, Huixiang Liu, Wenbai Chen, et al.
Electronics (2022) Vol. 11, Iss. 17, pp. 2750-2750
Open Access | Times Cited: 2

Coyote–Wolf optimization-based deep neural network for cancer classification using gene expression profiles
Mandar Krishnarao Deshmukh, Vinod Vaze, Amit K. Gaikwad
Advances in Complex Systems (2022) Vol. 13, Iss. 06
Closed Access | Times Cited: 1

Comparative Analysis of State-Of-the-Art Classifier with CNN for Cancer Microarray Data Classification
Swati Sucharita, Barnali Sahu, Tripti Swarnkar
Smart innovation, systems and technologies (2022), pp. 533-543
Closed Access | Times Cited: 1

Deep Learning models for retinal cell classification
Maciej Kostałkowski, Katarzyna Kordecka, Jagoda Płaczkiewicz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

Deep learning-based cell profiling based on neuronal morphology
Qiang Liu, Francesca J. Nicholls, Helen Rowland, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

Special issue on deep network based industrial Internet of Things applications
Deepak Gupta, Victor Hugo C. de Albuquerque, Utku Köse
Transactions on Emerging Telecommunications Technologies (2021) Vol. 32, Iss. 7
Closed Access

Providing an optimized model to detect driver genes from heterogeneous cancer samples using restriction in subspace learning
Ali Reza Ebadi, Ali Soleimani, Abdulbaghi Ghaderzadeh
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access

Previous Page - Page 2

Scroll to top