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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:

Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition
Sebastian Raschka, Benjamin Kaufman
Methods (2020) Vol. 180, pp. 89-110
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence
Sebastian Raschka, Joshua Patterson, Corey Nolet
Information (2020) Vol. 11, Iss. 4, pp. 193-193
Open Access | Times Cited: 458
Molecular Dynamics Simulations in Drug Discovery and Pharmaceutical Development
Outi M. H. Salo‐Ahen, Ida Alanko, Rajendra Bhadane, et al.
Processes (2020) Vol. 9, Iss. 1, pp. 71-71
Open Access | Times Cited: 369
Machine‐learning scoring functions for structure‐based virtual screening
Hongjian Li, Kam‐Heung Sze, Gang Lü, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2020) Vol. 11, Iss. 1
Closed Access | Times Cited: 142
Artificial intelligence and machine learning in drug discovery and development
Veer J. Patel, Manan Shah
Intelligent Medicine (2021) Vol. 2, Iss. 3, pp. 134-140
Open Access | Times Cited: 118
Generative machine learning for de novo drug discovery: A systematic review
Dominic D. Martinelli
Computers in Biology and Medicine (2022) Vol. 145, pp. 105403-105403
Closed Access | Times Cited: 96
An extensive review on lung cancer therapeutics using machine learning techniques: state-of-the-art and perspectives
Shaban Ahmad, Khalid Raza
Journal of drug targeting (2024) Vol. 32, Iss. 6, pp. 635-646
Closed Access | Times Cited: 18
Bioprocess Control: Current Progress and Future Perspectives
Anurag S. Rathore, Somesh Mishra, Saxena Nikita, et al.
Life (2021) Vol. 11, Iss. 6, pp. 557-557
Open Access | Times Cited: 84
Molecular docking and molecular dynamics simulation
Sakshi Singh, Qanita Bani Baker, Dev Bukhsh Singh
Elsevier eBooks (2021), pp. 291-304
Closed Access | Times Cited: 75
Machine learning approaches and their applications in drug discovery and design
Sonal Priya, G. Tripathi, Dev Bukhsh Singh, et al.
Chemical Biology & Drug Design (2022) Vol. 100, Iss. 1, pp. 136-153
Closed Access | Times Cited: 50
A critical review on odor measurement and prediction
Yujing Wang, Liming Shao, Xinyue Kang, et al.
Journal of Environmental Management (2023) Vol. 336, pp. 117651-117651
Closed Access | Times Cited: 26
The application of artificial intelligence to accelerate G protein‐coupled receptor drug discovery
Thi Nguyen, Diep Thi Ngoc Nguyen, Huan Yee Koh, et al.
British Journal of Pharmacology (2023) Vol. 181, Iss. 14, pp. 2371-2384
Open Access | Times Cited: 22
Advances in machine learning screening of food bioactive compounds
Yiyun Zhang, Xin Bao, Yiqing Zhu, et al.
Trends in Food Science & Technology (2024) Vol. 150, pp. 104578-104578
Closed Access | Times Cited: 8
Progress of machine learning in the application of small molecule druggability prediction
Junyao Li, Jianmei Zhang, Rui Guo, et al.
European Journal of Medicinal Chemistry (2025) Vol. 285, pp. 117269-117269
Closed Access | Times Cited: 1
Harnessing AI for Enhanced Screening of Antimicrobial Bioactive Compounds in Food Safety and Preservation
Mengyue Zhou, Juliana Pinto de Lima, Hefei Zhao, et al.
Trends in Food Science & Technology (2025), pp. 104887-104887
Closed Access | Times Cited: 1
Could artificial intelligence revolutionize the development of nanovectors for gene therapy and mRNA vaccines?
Akbar Hasanzadeh, Michael R. Hamblin, Jafar Kiani, et al.
Nano Today (2022) Vol. 47, pp. 101665-101665
Open Access | Times Cited: 35
Ten quick tips for deep learning in biology
Benjamin D. Lee, Anthony Gitter, Casey S. Greene, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 3, pp. e1009803-e1009803
Open Access | Times Cited: 30
Systematic characterization of multi-omics landscape between gut microbial metabolites and GPCRome in Alzheimer’s disease
Yunguang Qiu, Yuan Hou, Dhruv Gohel, et al.
Cell Reports (2024) Vol. 43, Iss. 5, pp. 114128-114128
Open Access | Times Cited: 7
Supervised fine-tuned approach for automated detection of diabetic retinopathy
Kriti Ohri, Mukesh Kumar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 5, pp. 14259-14280
Closed Access | Times Cited: 14
Practical Implementation of Artificial Intelligence-Based Deep Learning and Cloud Computing on the Application of Traditional Medicine and Western Medicine in the Diagnosis and Treatment of Rheumatoid Arthritis
Shaohui Wang, Ya Hou, Xuanhao Li, et al.
Frontiers in Pharmacology (2021) Vol. 12
Open Access | Times Cited: 27
The Impact of the Secondary Binding Pocket on the Pharmacology of Class A GPCRs
Attila Egyed, Dóra Kiss, György M. Keserü
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 21
BitterMatch: recommendation systems for matching molecules with bitter taste receptors
Eitan Margulis, Yuli Slavutsky, Tatjana Lang, et al.
Journal of Cheminformatics (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 21
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: 11
Strategic Mineral Policies for Indonesia: Enhancing Global Competitiveness, Economic Growth, and Environmental Sustainability Through Innovation and Renewable Energy
Chengzhang Zou, Weijun Gao, Fengyi Ai
Renewable Energy (2025), pp. 122593-122593
Closed Access
Fine-Tuned Deep Transfer Learning Models for Large Screenings of Safer Drugs Targeting Class A GPCRs
Davide Provasi, Marta Filizola
Biochemistry (2025)
Closed Access
Molecular Modelling in Bioactive Peptide Discovery and Characterisation
Clement Agoni, Raúl Fernández-Díaz, Patrick Brendan Timmons, et al.
Biomolecules (2025) Vol. 15, Iss. 4, pp. 524-524
Open Access
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