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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:

Comparison of machine learning and deep learning techniques in promoter prediction across diverse species
Nikita Bhandari, Satyajeet P. Khare, Rahee Walambe, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e365-e365
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Advances in promoter engineering: Novel applications and predefined transcriptional control
Andrew P. Cazier, John Blazeck
Biotechnology Journal (2021) Vol. 16, Iss. 10
Closed Access | Times Cited: 79
Designing artificial synthetic promoters for accurate, smart, and versatile gene expression in plants
Erum Yasmeen, Jin Wang, Muhammad Riaz, et al.
Plant Communications (2023) Vol. 4, Iss. 4, pp. 100558-100558
Open Access | Times Cited: 34
Medical Image Classifications Using Convolutional Neural Networks: A Survey of Current Methods and Statistical Modeling of the Literature
Foziya Ahmed Mohammed, Kula Kekeba Tune, Beakal Gizachew Assefa, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 699-736
Open Access | Times Cited: 14
A comprehensive survey on computational learning methods for analysis of gene expression data
Nikita Bhandari, Rahee Walambe, Ketan Kotecha, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 19
Biochemical Production from Sustainable Carbon Sources by Komagataella phaffii
Wasim Raja, Pınar Çalı́k
Biochemical Engineering Journal (2025), pp. 109702-109702
Closed Access
Navigating the Multiverse: A Hitchhiker’s Guide to Selecting Harmonisation Methods for Multimodal Biomedical Data
Murali Aadhitya Magateshvaren Saras, Mithun K. Mitra, Sonika Tyagi
Biology Methods and Protocols (2025) Vol. 10, Iss. 1
Open Access
Genome language modeling (GLM): a beginner’s cheat sheet
Navya Tyagi, Naima Vahab, Sonika Tyagi
Biology Methods and Protocols (2025) Vol. 10, Iss. 1
Open Access
DNA Sequence Similarity for Identifying Mastitis Causing Bacteria in Cattle
Nikita Banerjee, Sambit Bakshi, Pankaj Kumar
Lecture notes in networks and systems (2025), pp. 463-474
Closed Access
A rapid and scalable approach to build synthetic repetitive hormone‐responsive promoters
Josefina‐Patricia Fernandez‐Moreno, Anna E. Yaschenko, Matthew Neubauer, et al.
Plant Biotechnology Journal (2024) Vol. 22, Iss. 7, pp. 1942-1956
Open Access | Times Cited: 3
TSSNote-CyaPromBERT: Development of an integrated platform for highly accurate promoter prediction and visualization of Synechococcus sp. and Synechocystis sp. through a state-of-the-art natural language processing model BERT
Dung Hoang Anh, Linh Thanh Nguyen, Eun Yeol Lee
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 11
Automated COVID-19 Detection From Exhaled Human Breath Using CNN-CatBoost Ensemble Model
Navaneeth Bhaskar, Vinayak K. Bairagi, Mousami V. Munot, et al.
IEEE Sensors Letters (2023) Vol. 7, Iss. 10, pp. 1-4
Closed Access | Times Cited: 6
Promoter prediction in nannochloropsis based on densely connected convolutional neural networks
Pi-Jing Wei, Zhen-Zhen Pang, Lin-Jie Jiang, et al.
Methods (2022) Vol. 204, pp. 38-46
Closed Access | Times Cited: 9
Towards Misbehavior Intelligent Detection Using Guided Machine Learning in Vehicular Ad-hoc Networks (VANET)
Omessaad Slama, Bechir Alaya, Salah Zidi
INTELIGENCIA ARTIFICIAL (2022) Vol. 25, Iss. 70, pp. 138-154
Open Access | Times Cited: 7
CapsProm: a capsule network for promoter prediction
Lauro Moraes, Pedro Silva, Eduardo Luz, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105627-105627
Open Access | Times Cited: 6
gRNA Design: How Its Evolution Impacted on CRISPR/Cas9 Systems Refinement
Cristofer Motoche-Monar, Julián E. Ordoñez, Oscar Chang, et al.
Biomolecules (2023) Vol. 13, Iss. 12, pp. 1698-1698
Open Access | Times Cited: 3
DPProm: A Two-Layer Predictor for Identifying Promoters and Their Types on Phage Genome Using Deep Learning
Chen Wang, Junyin Zhang, Li Cheng, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 10, pp. 5258-5266
Closed Access | Times Cited: 5
Deep learning and support vector machines for transcription start site identification
José A. Barbero‐Aparicio, Alicia Olivares‐Gil, José-Francisco Díez-Pastor, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1340-e1340
Open Access | Times Cited: 2
Prediction of prokaryotic and eukaryotic promoters based on information-theoretic features
Xiao Liu, Li Teng, Yachuan Luo, et al.
Biosystems (2023) Vol. 231, pp. 104979-104979
Closed Access | Times Cited: 2
U-Net for genomic sequencing: A novel approach to DNA sequence classification
Raghad K. Mohammed, Azmi Tawfeq Hussein Alrawi, Ali Jbaeer Dawood
Alexandria Engineering Journal (2024) Vol. 96, pp. 323-331
Open Access
Variable-Length Promoter Strength Prediction Based on Graph Convolution
Tianqi Teng, Feng Yang, Qiang Zhang, et al.
Lecture notes in computer science (2024), pp. 310-321
Closed Access
Promoter Prediction in DNA Classification Using Machine Learning Algorithms
Mohammad Moin Uddin, Jasrin Shiddike, Afsana Ahmed, et al.
(2024), pp. 254-260
Closed Access
Evaluating Neural Network Performance in Predicting Disease Status and Tissue Source of JC Polyomavirus from Patient Isolates Based on the Hypervariable Region of the Viral Genome
Aiden M. C. Pike, Saeed Amal, Melissa S. Maginnis, et al.
Viruses (2024) Vol. 17, Iss. 1, pp. 12-12
Open Access
Estimating Average Power of Welding Process with Emitted Noises based on Adaptive Neuro Fuzzy Inference System
Gökhan Gökmen, Tahir Çetin Akıncı, Gökhan Koçyiğit, et al.
IEEE Access (2023) Vol. 11, pp. 39154-39164
Open Access | Times Cited: 1
Using Machine Learning Models to Predict Weld Sequence giving Minimum Distortion
J. Devaraj, Aiman Ziout, Jaber Abu Qudeiri, et al.
2022 Advances in Science and Engineering Technology International Conferences (ASET) (2022), pp. 1-6
Closed Access | Times Cited: 2
Real-Time Distortion Prediction and Optimization of Weld Sequence Using Artificial Neural Network
Jeyaganesh Devarai, Aiman Ziout, Jaber Abu Qudeiri
(2022), pp. 79-82
Closed Access | Times Cited: 2
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