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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:

Deep learning approaches for high dimension cancer microarray data feature prediction: A review
Debasish Swapnesh Kumar Nayak, Subhashree Mohapatra, David Al-Dabass, et al.
Elsevier eBooks (2023), pp. 13-41
Closed Access | Times Cited: 10

Showing 10 citing articles:

aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli
Debasish Swapnesh Kumar Nayak, Saswati Mahapatra, Sweta Padma Routray, et al.
Frontiers in Bioscience-Landmark (2024) Vol. 29, Iss. 2
Open Access | Times Cited: 7
Deep Learning Techniques for Identification of Pneumonia: A CNN Approach
Ruchika Das, Debasish Swapnesh Kumar Nayak, Chinmayee Priyadarshini Rout, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 4
ARGai 1.0: A GAN augmented in silico approach for identifying resistant genes and strains in E. coli using vision transformer
Debasish Swapnesh Kumar Nayak, Ruchika Das, Santanu Sahoo, et al.
Computational Biology and Chemistry (2025) Vol. 115, pp. 108342-108342
Closed Access
ARGai 2.0: A Feature Engineering Enabled Deep Network Model for Antibiotic Resistance Gene and Strain Identification in E. coli
Debasish Swapnesh Kumar Nayak, Arpita Priyadarshini, Sweta Padma Routray, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2025) Vol. 21, Iss. 01, pp. 76-96
Open Access
A new intelligent hybrid feature extraction model for automating cancer diagnosis: a focus on breast cancer
Rasoul Rahmani, Shahin Akbarpour, Ali Farzan, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 5
Closed Access
ResNet-50: The Deep Networks for Automated Breast Cancer Classification using MR Images
Tejaswini Das, Debasish Swapnesh Kumar Nayak, Anindita Kar, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 3
DnnARs: An Artificial Intelligence Technique for Prediction of Antimicrobial Resistant Strains in E. coli Bacteria Causing Urine Tract Infection
Debasish Swapnesh Kumar Nayak, Ankita Priyadarshini, P. Mahanta, et al.
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access
Artificial Intelligence in Battle against Antimicrobial Resistance: Opportunities and Challenges
Et al. Debasish Swapnesh Kumar Nayak
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 9, pp. 427-437
Open Access | Times Cited: 1
Efficient Technique for Glioblastoma Multiforme Detection: Deep Learning or Transfer Learning
Subhashree Mohapatra, Sonali Kumari, Sangita Kabi, et al.
(2023), pp. 1-5
Closed Access
ANTIBIOLOG: An Advanced Tool for Combat Antibiotic Resistance With Enhanced Multinomial Logistic Regression
Sweta Padma Routray, Amlan Deep Nayak, Debasish Swapnesh Kumar Nayak, et al.
(2023)
Closed Access
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