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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:

Population-scale Genomic Data Augmentation Based on Conditional Generative Adversarial Networks
Junjie Chen, Mohammad Erfan Mowlaei, Xinghua Shi
(2020), pp. 1-6
Closed Access | Times Cited: 11

Showing 11 citing articles:

An Overview of Deep Generative Models in Functional and Evolutionary Genomics
Burak Yelmen, Flora Jay
Annual Review of Biomedical Data Science (2023) Vol. 6, Iss. 1, pp. 173-189
Open Access | Times Cited: 14
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
Application of Artificial Intelligence in Digital Breeding Industry Using Plant Genotype and Phenotype Data
Najeong Chae, Sung-Woo Byun, Jiho Choi, et al.
Journal of Advances in Information Technology (2025) Vol. 16, Iss. 3, pp. 372-379
Open Access
Labels in a haystack: Approaches beyond supervised learning in biomedical applications
Artur Yakimovich, Anaël Beaugnon, Yi Huang, et al.
Patterns (2021) Vol. 2, Iss. 12, pp. 100383-100383
Open Access | Times Cited: 25
Anomaly-Based Intrusion on IoT Networks Using AIGAN-a Generative Adversarial Network
Zhipeng Liu, Junyi Hu, Yang Liu, et al.
IEEE Access (2023) Vol. 11, pp. 91116-91132
Open Access | Times Cited: 8
Systematic Review of Generative Modelling Tools and Utility Metrics for Fully Synthetic Tabular Data
Anton D. Lautrup, Tobias Hyrup, Arthur Zimek, et al.
ACM Computing Surveys (2024)
Open Access | Times Cited: 1
LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions
Muhammad Tahir, Shehroz S. Khan, James Davie, et al.
Applied Intelligence (2024) Vol. 55, Iss. 1
Closed Access | Times Cited: 1
Offspring GAN augments biased human genomic data
Supratim Das, Xinghua Shi
(2022), pp. 1-10
Closed Access | Times Cited: 4
Uncovering The Applicability of Machine Learning in Genomic Disease Prediction
Drishti Kemni, Charu Goyal, Avanya Chaudhary, et al.
(2024), pp. 1631-1636
Closed Access
A study on phenotype prediction using an artificial intelligence-based data augmentation approach
Jiho Choi, Sung-Woo Byun, Najeong Chae, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 4679-4684
Closed Access
Integrated Generative Adversarial Network and XGBoost for Anomaly Processing of Massive Data Flow in Dispatch Automation Systems
Wenlu Ji, Yingqi Liao, Liudong Zhang
Intelligent Automation & Soft Computing (2023) Vol. 37, Iss. 3, pp. 2825-2848
Open Access | Times Cited: 1
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