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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:

Obtaining genetics insights from deep learning via explainable artificial intelligence
Gherman Novakovsky, Nick Dexter, Maxwell W. Libbrecht, et al.
Nature Reviews Genetics (2022) Vol. 24, Iss. 2, pp. 125-137
Closed Access | Times Cited: 223

Showing 1-25 of 223 citing articles:

JASPAR 2024: 20th anniversary of the open-access database of transcription factor binding profiles
Ieva Rauluševičiūtė, Rafael Riudavets Puig, Romain Blanc‐Mathieu, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D174-D182
Open Access | Times Cited: 312
SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks
Carmen Bravo González‐Blas, Seppe De Winter, Gert Hulselmans, et al.
Nature Methods (2023) Vol. 20, Iss. 9, pp. 1355-1367
Open Access | Times Cited: 284
Artificial intelligence-based multi-omics analysis fuels cancer precision medicine
Xiujing He, Xiaowei Liu, Fengli Zuo, et al.
Seminars in Cancer Biology (2022) Vol. 88, pp. 187-200
Open Access | Times Cited: 151
Deep learning: systematic review, models, challenges, and research directions
Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch
Neural Computing and Applications (2023) Vol. 35, Iss. 31, pp. 23103-23124
Open Access | Times Cited: 114
Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 90
Emotion recognition in EEG signals using deep learning methods: A review
Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107450-107450
Open Access | Times Cited: 76
Benchmarking of deep neural networks for predicting personal gene expression from DNA sequence highlights shortcomings
Alexander Sasse, Bernard Ng, Anna Spiro, et al.
Nature Genetics (2023) Vol. 55, Iss. 12, pp. 2060-2064
Open Access | Times Cited: 47
Conceptualizing future groundwater models through a ternary framework of multisource data, human expertise, and machine intelligence
Chuanjun Zhan, Zhenxue Dai, Shangxian Yin, et al.
Water Research (2024) Vol. 257, pp. 121679-121679
Closed Access | Times Cited: 34
Sequence basis of transcription initiation in the human genome
Kseniia Dudnyk, Donghong Cai, Chenlai Shi, et al.
Science (2024) Vol. 384, Iss. 6694
Open Access | Times Cited: 33
Enhancer-driven cell type comparison reveals similarities between the mammalian and bird pallium
Nikolai Hecker, Niklas Kempynck, David Mauduit, et al.
Science (2025) Vol. 387, Iss. 6735
Open Access | Times Cited: 2
Chromatin accessibility in the Drosophila embryo is determined by transcription factor pioneering and enhancer activation
Kaelan Brennan, Melanie Weilert, Sabrina Krueger, et al.
Developmental Cell (2023) Vol. 58, Iss. 19, pp. 1898-1916.e9
Open Access | Times Cited: 37
Customized 2D CNN Model for the Automatic Emotion Recognition Based on EEG Signals
Farzad Baradaran, Ali Farzan, Sebelan Danishvar, et al.
Electronics (2023) Vol. 12, Iss. 10, pp. 2232-2232
Open Access | Times Cited: 34
An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture
Danuta Cembrowska-Lech, Adrianna Krzemińska, Tymoteusz Miller, et al.
Biology (2023) Vol. 12, Iss. 10, pp. 1298-1298
Open Access | Times Cited: 34
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data
Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 30
Interpreting biologically informed neural networks for enhanced proteomic biomarker discovery and pathway analysis
Erik Hartman, Aaron Scott, Christofer Karlsson, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 30
Harnessing deep learning for population genetic inference
Xin Huang, Aigerim Rymbekova, Olga Dolgova, et al.
Nature Reviews Genetics (2023) Vol. 25, Iss. 1, pp. 61-78
Closed Access | Times Cited: 27
Artificial intelligence in cancer immunotherapy: Applications in neoantigen recognition, antibody design and immunotherapy response prediction
Li Tong, Yupeng Li, Xiaoyi Zhu, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 50-69
Closed Access | Times Cited: 26
Transfer Learning in Brain Tumor Classification: Challenges, Opportunities, and Future Prospects
Raja Waseem Anwar, Mohammad Abrar, Faizan Ullah
2022 13th International Conference on Information and Communication Technology Convergence (ICTC) (2023)
Closed Access | Times Cited: 25
ExplaiNN: interpretable and transparent neural networks for genomics
Gherman Novakovsky, Oriol Fornés, Manu Saraswat, et al.
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 23
Applying interpretable machine learning in computational biology—pitfalls, recommendations and opportunities for new developments
Valerie Chen, Muyu Yang, Wenbo Cui, et al.
Nature Methods (2024) Vol. 21, Iss. 8, pp. 1454-1461
Closed Access | Times Cited: 15
AIRE relies on Z-DNA to flag gene targets for thymic T cell tolerization
Yuan Fang, Kushagra Bansal, Sara Mostafavi, et al.
Nature (2024) Vol. 628, Iss. 8007, pp. 400-407
Open Access | Times Cited: 13
CIRI‐Deep Enables Single‐Cell and Spatial Transcriptomic Analysis of Circular RNAs with Deep Learning
Zihan Zhou, Jinyang Zhang, Xin Zheng, et al.
Advanced Science (2024) Vol. 11, Iss. 14
Open Access | Times Cited: 12
Research integrity in the era of artificial intelligence: Challenges and responses
Ziyu Chen, Chang-ye Chen, Guozhao Yang, et al.
Medicine (2024) Vol. 103, Iss. 27, pp. e38811-e38811
Open Access | Times Cited: 12
Neuro-symbolic artificial intelligence: a survey
Bikram Pratim Bhuyan, Amar Ramdane-Chérif, Ravi Tomar, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 12809-12844
Closed Access | Times Cited: 11
XKT: Towards Explainable Knowledge Tracing Model With Cognitive Learning Theories for Questions of Multiple Knowledge Concepts
Changqin Huang, Qionghao Huang, Xiaodi Huang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 7308-7325
Closed Access | Times Cited: 9
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