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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:

Comprehensive strategies of machine-learning-based quantitative structure-activity relationship models
Jiashun Mao, Javed Akhtar, Xiao Zhang, et al.
iScience (2021) Vol. 24, Iss. 9, pp. 103052-103052
Open Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

Why 90% of clinical drug development fails and how to improve it?
Duxin Sun, Wei Gao, Hongxiang Hu, et al.
Acta Pharmaceutica Sinica B (2022) Vol. 12, Iss. 7, pp. 3049-3062
Open Access | Times Cited: 764
Harmonization Risks and Rewards: Nano-QSAR for Agricultural Nanomaterials
Ajay Vikram Singh, Amruta Shelar, Mansi Rai, et al.
Journal of Agricultural and Food Chemistry (2024) Vol. 72, Iss. 6, pp. 2835-2852
Closed Access | Times Cited: 28
An assessment of crucial structural contributors of HDAC6 inhibitors through fragment-based non-linear pattern recognition and molecular dynamics simulation approaches
Suvankar Banerjee, Sandeep Jana, Tarun Jha, et al.
Computational Biology and Chemistry (2024) Vol. 110, pp. 108051-108051
Closed Access | Times Cited: 15
De novo molecular design with deep molecular generative models for PPI inhibitors
Jianmin Wang, Yanyi Chu, Jiashun Mao, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Closed Access | Times Cited: 44
Transformer-Based Molecular Generative Model for Antiviral Drug Design
Jiashun Mao, Jianmin Wang, Amir Zeb, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2733-2745
Open Access | Times Cited: 30
A multiscale molecular structural neural network for molecular property prediction
Zhiwei Shi, Miao Ma, Hanyang Ning, et al.
Molecular Diversity (2025)
Closed Access
Vetinformatics for Identification of Drug Targets via Integrating Multi-omics Data
Jyoti Kant Choudhari, Jyotsna Choubey, Abhishek Tripathi, et al.
(2025), pp. 207-255
Closed Access
From Molecular Descriptors to Intrinsic Fish Toxicity of Chemicals: An Alternative Approach to Chemical Prioritization
Saer Samanipour, Jake O’Brien, Malcolm J. Reid, et al.
Environmental Science & Technology (2022) Vol. 57, Iss. 46, pp. 17950-17958
Open Access | Times Cited: 29
Digitally enabled approaches for the scale up of mammalian cell bioreactors
Masih Karimi Alavijeh, Irene Baker, Yih Yean Lee, et al.
Digital Chemical Engineering (2022) Vol. 4, pp. 100040-100040
Closed Access | Times Cited: 28
Guidance for good practice in the application of machine learning in development of toxicological quantitative structure-activity relationships (QSARs)
Samuel J. Belfield, Mark T.D. Cronin, Steven J. Enoch, et al.
PLoS ONE (2023) Vol. 18, Iss. 5, pp. e0282924-e0282924
Open Access | Times Cited: 18
Quantitative structural assessments of potential meprin β inhibitors by non-linear QSAR approaches and validation by binding mode of interaction analysis
Suvankar Banerjee, Sandip Kumar Baidya, Balaram Ghosh, et al.
New Journal of Chemistry (2023) Vol. 47, Iss. 15, pp. 7051-7069
Closed Access | Times Cited: 17
Re-envisioning the design of nanomedicines: harnessing automation and artificial intelligence
Jonathan Zaslavsky, Pauric Bannigan, Christine Allen
Expert Opinion on Drug Delivery (2023) Vol. 20, Iss. 2, pp. 241-257
Closed Access | Times Cited: 16
Exploring Machine Learning in Chemistry through the Classification of Spectra: An Undergraduate Project
Alanah Grant-St James, Luke Hand, Thomas Mills, et al.
Journal of Chemical Education (2023) Vol. 100, Iss. 3, pp. 1343-1350
Open Access | Times Cited: 14
Deciphering the Lexicon of Protein Targets: A Review on Multifaceted Drug Discovery in the Era of Artificial Intelligence
Suvendu Nandi, Soumyadeep Bhaduri, Debraj Das, et al.
Molecular Pharmaceutics (2024) Vol. 21, Iss. 4, pp. 1563-1590
Closed Access | Times Cited: 5
Drug discovery and development in the era of artificial intelligence: From machine learning to large language models
Shenghui Guan, Guanyu Wang
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 1, pp. 100070-100070
Open Access | Times Cited: 5
Leveraging artificial intelligence (AI) and machine learning (ML) for enhanced drug discovery and development from microbes
Vaibhav Mishra, Sandeep K. Mishra, Akanksha Srivastava, et al.
Methods in microbiology (2024), pp. 125-140
Closed Access | Times Cited: 5
Decoding Nanomaterial‐Biosystem Interactions through Machine Learning
Sagar Dhoble, Tzu‐Hsien Wu, Kenry Kenry
Angewandte Chemie International Edition (2024) Vol. 63, Iss. 16
Closed Access | Times Cited: 4
Artificial intelligence in antidiabetic drug discovery: The advances in QSAR and the prediction of α-glucosidase inhibitors
Adeshina I. Odugbemi, Clement N. Nyirenda, Alan Christoffels, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2964-2977
Open Access | Times Cited: 4
Phytochemicals in Drug Discovery - A Confluence of Tradition and Innovation
Patience Chihomvu, A. Ganesan, Simon Gibbons, et al.
(2024)
Open Access | Times Cited: 3
Phytochemicals in Drug Discovery—A Confluence of Tradition and Innovation
Patience Chihomvu, A. Ganesan, Simon Gibbons, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 16, pp. 8792-8792
Open Access | Times Cited: 3
Predicting bioconcentration factor and estrogen receptor bioactivity of bisphenol a and its analogues in adult zebrafish by directed message passing neural networks
Liping Yang, Pengyu Chen, Keyan He, et al.
Environment International (2022) Vol. 169, pp. 107536-107536
Open Access | Times Cited: 18
Artificial intelligence and nanotechnology for cervical cancer treatment: Current status and future perspectives
Satbir Kour, Indrani Biswas, Sumit Sheoran, et al.
Journal of Drug Delivery Science and Technology (2023) Vol. 83, pp. 104392-104392
Closed Access | Times Cited: 9
Prediction of KRASG12C inhibitors using conjoint fingerprint and machine learning-based QSAR models
Tarapong Srisongkram, Patcharapa Khamtang, Natthida Weerapreeyakul
Journal of Molecular Graphics and Modelling (2023) Vol. 122, pp. 108466-108466
Closed Access | Times Cited: 8
Insights into the structure-activity relationship of pyrimidine-sulfonamide analogues for targeting BRAF V600E protein
Tarapong Srisongkram, Dheerapat Tookkane
Biophysical Chemistry (2024) Vol. 307, pp. 107179-107179
Closed Access | Times Cited: 2
Computational resources and chemoinformatics for translational health research
Tripti Tripathi, Dev Bukhsh Singh, Timir Tripathi
Advances in protein chemistry and structural biology (2024), pp. 27-55
Closed Access | Times Cited: 2
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