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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 Deep Learning in Data-Driven Decision Making of Drug Discovery and Challenges in High-Quality Data Acquisition in the Pharmaceutical Industry
Sethu Arun Kumar, T. Durai Ananda Kumar, Narasimha M. Beeraka, et al.
Future Medicinal Chemistry (2021) Vol. 14, Iss. 4, pp. 245-270
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 157
The future of pharmacy: How AI is revolutionizing the industry
Osama Khan, Mohd Parvez, Pratibha Kumari, et al.
Intelligent Pharmacy (2023) Vol. 1, Iss. 1, pp. 32-40
Open Access | Times Cited: 38
A novel fraud detection and prevention method for healthcare claim processing using machine learning and blockchain technology
Anokye Acheampong Amponsah, Adebayo Felix Adekoya, Benjamin Asubam Weyori
Decision Analytics Journal (2022) Vol. 4, pp. 100122-100122
Open Access | Times Cited: 55
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
Recent Progress and Prospects of Small Molecules for NLRP3 Inflammasome Inhibition
Na Li, Ruijia Zhang, Minghai Tang, et al.
Journal of Medicinal Chemistry (2023) Vol. 66, Iss. 21, pp. 14447-14473
Closed Access | Times Cited: 32
Innovative applications of artificial intelligence during the COVID-19 pandemic
Chenrui Lv, Wenqiang Guo, Xinyi Yin, et al.
Infectious Medicine (2024) Vol. 3, Iss. 1, pp. 100095-100095
Open Access | Times Cited: 12
Artificial Intelligence, Machine Learning, and the Revival of Big Data in Pharmaceutical Sciences
Raveendra Babu Gudimitla, Medarametla Kishore Babu, Sasidhar Bhimana, et al.
IGI Global eBooks (2025), pp. 275-310
Closed Access
Advance in peptide-based drug development: delivery platforms, therapeutics and vaccines
Wen‐Jing Xiao, Wenjie Jiang, Zheng Chen, et al.
Signal Transduction and Targeted Therapy (2025) Vol. 10, Iss. 1
Open Access
Immunogenic cell death (ICD) enhancers—Drugs that enhance the perception of ICD by dendritic cells
Peng Liu, Liwei Zhao, Laurence Zitvogel, et al.
Immunological Reviews (2023) Vol. 321, Iss. 1, pp. 7-19
Open Access | Times Cited: 11
Data-Driven Enterprise Architecture for Pharmaceutical R&D
Nailya Uzhakova, Stefan Fischer
Digital (2024) Vol. 4, Iss. 2, pp. 333-371
Open Access | Times Cited: 3
How AI Can Revolutionize the Pharmaceutical Industry
Pallav Dave
Journal of Drug Delivery and Therapeutics (2024) Vol. 14, Iss. 6, pp. 179-183
Open Access | Times Cited: 2
Yin-yang in drug discovery: rethinking de novo design and development of predictive models
Ana L. Chávez‐Hernández, Edgar López‐López, José L. Medina‐Franco
Frontiers in Drug Discovery (2023) Vol. 3
Open Access | Times Cited: 5
EarlGAN: An enhanced actor–critic reinforcement learning agent-driven GAN for de novo drug design
Huidong Tang, Chen Li, Shuai Jiang, et al.
Pattern Recognition Letters (2023) Vol. 175, pp. 45-51
Closed Access | Times Cited: 5
Addressing Issues and Challenges Using AI in Pharmacy
Muzzammil Siraj, Hasnain Siraj, Muhammad Shoaib, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 22-41
Closed Access | Times Cited: 1
MacGAN: A Moment-Actor-Critic Reinforcement Learning-Based Generative Adversarial Network for Molecular Generation
Huidong Tang, Chen Li, Shuai Jiang, et al.
Lecture notes in computer science (2024), pp. 127-141
Closed Access | Times Cited: 1
Caspase inhibitors: a review on recently patented compounds (2016–2023)
Shivani Kasana, Shivam Kumar, Preeti Patel, et al.
Expert Opinion on Therapeutic Patents (2024) Vol. 34, Iss. 10, pp. 1047-1072
Closed Access | Times Cited: 1
Versatile tools of synthetic biology applied to drug discovery and production
Nikolet Pavlova, Georgi Y. Miloshev, Antoniya V. Georgieva, et al.
Future Medicinal Chemistry (2022) Vol. 14, Iss. 18, pp. 1325-1340
Closed Access | Times Cited: 5
High-throughput screening strategies for space-based radiation countermeasure discovery
Karson S. Putt, Yuhong Du, Haian Fu, et al.
Life Sciences in Space Research (2022) Vol. 35, pp. 88-104
Open Access | Times Cited: 4
Analyzing the Impact on Talent Acquisition and Performance Management
Wenting Li, Wan Mohd Hirwani Wan Hussain, Jia Xinlin, et al.
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-30
Open Access
The Impact of Emerging Technologies on Pharmaceutical Process Design and Optimization in Africa: A Review
Rachael Olakunmi Ogunye, Donatus Chigozie Egwuatu, Peter Chidendu Anene, et al.
Journal of Pharmaceutical Research International (2024) Vol. 36, Iss. 9, pp. 46-60
Open Access
Machine learning models to identify lead compound and substitution optimization to have derived energetics and conformational stability through docking and MD simulations for sphingosine kinase 1
Anantha Krishnan Dhanabalan, D. Velmurugan, Jebiti Haribabu, et al.
Molecular Diversity (2024)
Closed Access
Development and Implementation of Anartificial Intelligence-Based Model for Predicting Drug Sales
Ying Xiong
(2024)
Closed Access
Ensemble learning based on bi-directional gated recurrent unit and convolutional neural network with word embedding module for bioactive peptide prediction
Lai Zhenghui, Wenxing Hu, Wu Yan, et al.
Food Chemistry (2024) Vol. 468, pp. 142464-142464
Closed Access
Machine Learning and Neural Network Methods Applied to Drug Discovery
Daniel S. de Sousa, Aldineia P. da Silva, Rafaela Molina de Angelo, et al.
(2024), pp. 65-107
Closed Access
Recursive Router Metrics Prediction Using Machine Learning-Based Node Modeling for Network Digital Replica
Kyota Hattori, Tomohiro Korikawa, Chikako Takasaki, et al.
IEEE Access (2023) Vol. 11, pp. 138638-138654
Open Access | Times Cited: 1
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