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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:

DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning
Janine Arloth, Gökçen Eraslan, Till F. M. Andlauer, et al.
PLoS Computational Biology (2020) Vol. 16, Iss. 2, pp. e1007616-e1007616
Open Access | Times Cited: 82

Showing 1-25 of 82 citing articles:

A review of deep learning applications in human genomics using next-generation sequencing data
W. Alharbi, Mamoon Rashid
Human Genomics (2022) Vol. 16, Iss. 1
Open Access | Times Cited: 77
Reviewing the genetics of heterogeneity in depression: operationalizations, manifestations and etiologies
Na Cai, Karmel W. Choi, Eiko I. Fried
Human Molecular Genetics (2020) Vol. 29, Iss. R1, pp. R10-R18
Open Access | Times Cited: 135
MOSTWAS: Multi-Omic Strategies for Transcriptome-Wide Association Studies
Arjun Bhattacharya, Yun Li, Michael I. Love
PLoS Genetics (2021) Vol. 17, Iss. 3, pp. e1009398-e1009398
Open Access | Times Cited: 66
The genetic basis of major depression
Kimberley Kendall, E. Van Assche, Till F. M. Andlauer, et al.
Psychological Medicine (2021) Vol. 51, Iss. 13, pp. 2217-2230
Open Access | Times Cited: 57
Applications of deep learning in understanding gene regulation
Zhongxiao Li, Elva Gao, Juexiao Zhou, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 1, pp. 100384-100384
Open Access | Times Cited: 30
Deciphering the role of immune cell composition in epigenetic age acceleration: Insights from cell‐type deconvolution applied to human blood epigenetic clocks
Ze Zhang, Samuel R. Reynolds, Hannah Stolrow, et al.
Aging Cell (2023) Vol. 23, Iss. 3
Open Access | Times Cited: 26
Review of deep learning-based methods for non-destructive evaluation of agricultural products
Zhenye Li, Dongyi Wang, Tingting Zhu, et al.
Biosystems Engineering (2024) Vol. 245, pp. 56-83
Closed Access | Times Cited: 11
How did we get there? AI applications to biological networks and sequences
Marco Anteghini, Francesco Gualdi, Baldo Oliva
Computers in Biology and Medicine (2025) Vol. 190, pp. 110064-110064
Open Access | Times Cited: 1
What makes a good prediction? Feature importance and beginning to open the black box of machine learning in genetics
Anthony M. Musolf, Emily Holzinger, James D. Malley, et al.
Human Genetics (2021) Vol. 141, Iss. 9, pp. 1515-1528
Open Access | Times Cited: 56
Integrating convolution and self-attention improves language model of human genome for interpreting non-coding regions at base-resolution
Meng Yang, Lichao Huang, Haiping Huang, et al.
Nucleic Acids Research (2022) Vol. 50, Iss. 14, pp. e81-e81
Open Access | Times Cited: 35
Recent advances in artificial intelligence, mechanistic models, and speed breeding offer exciting opportunities for precise and accelerated genomics‐assisted breeding
Javaid Akhter Bhat, Xianzhong Feng, Zahoor Ahmad Mir, et al.
Physiologia Plantarum (2023) Vol. 175, Iss. 4
Closed Access | Times Cited: 19
Artificial intelligence for dementia genetics and omics
Conceição Bettencourt, Nathan Skene, Sara Bandrés‐Ciga, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5905-5921
Open Access | Times Cited: 17
Integrated Analysis of Whole Genome and Epigenome Data Using Machine Learning Technology: Toward the Establishment of Precision Oncology
Ken Asada, Syuzo Kaneko, Ken Takasawa, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 37
Epigenetic clock analysis reveals increased plasma cystatin C levels based on DNA methylation in major depressive disorder
Takaki Tanifuji, Kenji Okazaki, Ikuo Otsuka, et al.
Psychiatry Research (2023) Vol. 322, pp. 115103-115103
Open Access | Times Cited: 14
CVD-associated SNPs with regulatory potential reveal novel non-coding disease genes
Chaonan Zhu, Nina Baumgarten, Meiqian Wu, et al.
Human Genomics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 14
Genetic factors associated with suicidal behaviors and alcohol use disorders in an American Indian population
Qian Peng, David A. Gilder, Rebecca A. Bernert, et al.
Molecular Psychiatry (2024) Vol. 29, Iss. 4, pp. 902-913
Open Access | Times Cited: 6
Map of epigenetic age acceleration: a worldwide analysis
Igor Yusipov, Alena Kalyakulina, Arseniy Trukhanov, et al.
Ageing Research Reviews (2024) Vol. 100, pp. 102418-102418
Closed Access | Times Cited: 6
Should AI-Powered Whole-Genome Sequencing Be Used Routinely for Personalized Decision Support in Surgical Oncology—A Scoping Review
Kokiladevi Alagarswamy, Wenjie Shi, Aishwarya Boini, et al.
BioMedInformatics (2024) Vol. 4, Iss. 3, pp. 1757-1772
Open Access | Times Cited: 5
OUP accepted manuscript

Nucleic Acids Research (2021)
Open Access | Times Cited: 32
Towards interpretable imaging genomics analysis: Methodological developments and applications
Xiaoping Cen, Wei Dong, Wei Lv, et al.
Information Fusion (2023) Vol. 102, pp. 102032-102032
Closed Access | Times Cited: 12
DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction
Pramod Chandrashekar, Sayali Alatkar, Jiebiao Wang, et al.
Genome Medicine (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 12
Machine learning, the kidney, and genotype–phenotype analysis
Rachel Sealfon, Laura H. Mariani, Matthias Kretzler, et al.
Kidney International (2020) Vol. 97, Iss. 6, pp. 1141-1149
Open Access | Times Cited: 32
Weighted 2D-kernel density estimations provide a new probabilistic measure for epigenetic age
Juan-Felipe Perez-Correa, Thomas Stiehl, Riccardo E. Marioni, et al.
Genome biology (2025) Vol. 26, Iss. 1
Open Access
Shaping future diagnostics: advances and innovations in cancer biomarker science
M.A. Abdelsamed
Elsevier eBooks (2025), pp. 333-357
Closed Access
AI-powered precision medicine: utilizing genetic risk factor optimization to revolutionize healthcare
Sakhaa B. Alsaedi, Michihiro Ogasawara, Mohammed Alarawi, et al.
NAR Genomics and Bioinformatics (2025) Vol. 7, Iss. 2
Open Access
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