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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:

iPro-GAN: A novel model based on generative adversarial learning for identifying promoters and their strength
Huijuan Qiao, Shengli Zhang, Tian Xue, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 215, pp. 106625-106625
Closed Access | Times Cited: 13

Showing 13 citing articles:

Recent Advances in Generative Adversarial Networks for Gene Expression Data: A Comprehensive Review
Minhyeok Lee
Mathematics (2023) Vol. 11, Iss. 14, pp. 3055-3055
Open Access | Times Cited: 27
A novel deep learning identifier for promoters and their strength using heterogeneous features
Aqsa Amjad, Saeed Ahmed, Muhammad Kabir, et al.
Methods (2024) Vol. 230, pp. 119-128
Open Access | Times Cited: 5
AI-Assisted Rational Design and Activity Prediction of Biological Elements for Optimizing Transcription-Factor-Based Biosensors
Nana Ding, Zenan Yuan, Zheng Ma, et al.
Molecules (2024) Vol. 29, Iss. 15, pp. 3512-3512
Open Access | Times Cited: 4
MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI
Subhojit Paul, Kaushika Olymon, Gustavo Sganzerla Martinez, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 7, pp. 2705-2719
Closed Access | Times Cited: 3
R5hmCFDV: computational identification of RNA 5-hydroxymethylcytosine based on deep feature fusion and deep voting
Hongyan Shi, Shengli Zhang, Xinjie Li
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 13
An improved residual network using deep fusion for identifying RNA 5-methylcytosine sites
Xinjie Li, Shengli Zhang, Hongyan Shi
Bioinformatics (2022) Vol. 38, Iss. 18, pp. 4271-4277
Closed Access | Times Cited: 10
CAPE: a deep learning framework with Chaos-Attention net for Promoter Evolution
Ruohan Ren, Hongyu Yu, Jiahao Teng, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 1
TIMER is a Siamese neural network-based framework for identifying both general and species-specific bacterial promoters
Yan Zhu, Fuyi Li, Xudong Guo, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 4
AMP-EF: An Ensemble Framework of Extreme Gradient Boosting and Bidirectional Long Short-Term Memory Network for Identifying Antimicrobial Peptides
Shengli Zhang, Ya Zhao, Yunyun Liang
match Communications in Mathematical and in Computer Chemistry (2023) Vol. 91, Iss. 1, pp. 109-131
Open Access | Times Cited: 2
Synthetic Promoters in Gene Therapy: Design Approaches, Features and Applications
Valentin Artemyev, Anna Gubaeva, Anastasiia Iu. Paremskaia, et al.
Cells (2024) Vol. 13, Iss. 23, pp. 1963-1963
Open Access
Exploring the Promoter Generation and Prediction of Halomonas spp. Based on GAN and Multi-Model Fusion Methods
Cuihuan Zhao, Yuying Guan, Shuan Yan, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 23, pp. 13137-13137
Open Access
Evolution is All You Need in Promoter Design and Optimization
Ruohan Ren, Hongyu Yu, Jiahao Teng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Computational methods for identifying enhancer‐promoter interactions
Haiyan Gong, Zhengyuan Chen, Yuxin Tang, et al.
Quantitative Biology (2023) Vol. 11, Iss. 2, pp. 122-142
Open Access
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