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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:

An overview of neural networks for drug discovery and the inputs used
Yinqiu Xu, Hequan Yao, Kejiang Lin
Expert Opinion on Drug Discovery (2018) Vol. 13, Iss. 12, pp. 1091-1102
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Deep learning in drug discovery: opportunities, challenges and future prospects
Antonio Lavecchia
Drug Discovery Today (2019) Vol. 24, Iss. 10, pp. 2017-2032
Closed Access | Times Cited: 290
Learning Molecular Representations for Medicinal Chemistry
Kangway V. Chuang, Laura M. Gunsalus, Michael J. Keiser
Journal of Medicinal Chemistry (2020) Vol. 63, Iss. 16, pp. 8705-8722
Open Access | Times Cited: 175
Machine-Learning-Assisted De Novo Design of Organic Molecules and Polymers: Opportunities and Challenges
Guang Chen, Zhiqiang Shen, Akshay Iyer, et al.
Polymers (2020) Vol. 12, Iss. 1, pp. 163-163
Open Access | Times Cited: 157
OptADMET: a web-based tool for substructure modifications to improve ADMET properties of lead compounds
Jiacai Yi, Shaohua Shi, Li Fu, et al.
Nature Protocols (2024) Vol. 19, Iss. 4, pp. 1105-1121
Closed Access | Times Cited: 19
Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation
Youngchun Kwon, Jiho Yoo, Youn-Suk Choi, et al.
Journal of Cheminformatics (2019) Vol. 11, Iss. 1
Open Access | Times Cited: 77
Chemical space exploration based on recurrent neural networks: applications in discovering kinase inhibitors
Xuanyi Li, Yinqiu Xu, Hequan Yao, et al.
Journal of Cheminformatics (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 60
Revolutionizing Drug Discovery: The Role of Artificial Intelligence and Machine Learning
Abhishek Verma, Ankit Awasthi
Current Pharmaceutical Design (2024) Vol. 30, Iss. 11, pp. 807-810
Closed Access | Times Cited: 8
Forecasting COVID-19 Epidemic Trends by Combining a Neural Network with Rt Estimation
Pietro Cinaglia, Mario Cannataro
Entropy (2022) Vol. 24, Iss. 7, pp. 929-929
Open Access | Times Cited: 20
Salicylic acid solubility prediction in different solvents based on machine learning algorithms
Seyed Hossein Hashemi, Zahra Besharati, Seyed Abdolrasoul Hashemi
Digital Chemical Engineering (2024) Vol. 11, pp. 100157-100157
Open Access | Times Cited: 5
Machine learning reshapes the paradigm of nanomedicine research
Ziye Wei, Shijie Zhuo, Yixin Zhang, et al.
Acta Pharmaceutica Sinica B (2025)
Open Access
Artificial neural networks in tandem with molecular descriptors as predictive tools for continuous liposome manufacturing
Sameera Sansare, Tibo Duran, Hossein Mohammadiarani, et al.
International Journal of Pharmaceutics (2021) Vol. 603, pp. 120713-120713
Closed Access | Times Cited: 23
Machine learning concepts and its applications for prediction of diseases based on drug behaviour: An extensive review
Davinder Paul Singh, Baijnath Kaushik
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 229, pp. 104637-104637
Closed Access | Times Cited: 16
3D Convolutional Neural Networks for Predicting Protein Structure for Improved Drug Recommendation
Pokkuluri Kiran Sree, S. S. S. N. Usha Devi N.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 3
Quantification of noncovalent interactions – promises and problems
Hans‐Jörg Schneider
New Journal of Chemistry (2019) Vol. 43, Iss. 39, pp. 15498-15512
Closed Access | Times Cited: 25
Predicting the target landscape of kinase inhibitors using 3D convolutional neural networks
Georgi K. Kanev, Yaran Zhang, Albert J. Kooistra, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 9, pp. e1011301-e1011301
Open Access | Times Cited: 8
Machine Learning in Drug Design
Ola Engkvist, Lewis Mervin, Hongming Chen, et al.
The Royal Society of Chemistry eBooks (2023), pp. 231-264
Closed Access | Times Cited: 6
Convolutional Neural Network-based Virtual Screening
Wenying Shan, Xuanyi Li, Hequan Yao, et al.
Current Medicinal Chemistry (2020) Vol. 28, Iss. 10, pp. 2033-2047
Closed Access | Times Cited: 12
QN-Docking: An innovative molecular docking methodology based on Q-Networks
Antonio Serrano, Baldomero Imbernón, Horacio Pérez‐Sánchez, et al.
Applied Soft Computing (2020) Vol. 96, pp. 106678-106678
Open Access | Times Cited: 12
Determination of the physical state of a drug in amorphous solid dispersions using artificial neural networks and ATR-FTIR spectroscopy
Afroditi Kapourani, Vasiliki Valkanioti, Konstantinos N. Kontogiannopoulos, et al.
International Journal of Pharmaceutics X (2020) Vol. 2, pp. 100064-100064
Open Access | Times Cited: 12
Biotechnology-based therapeutics
Ravichandran Vijaya Abinaya, Pragasam Viswanathan
Elsevier eBooks (2021), pp. 27-52
Closed Access | Times Cited: 10
Neural Networks in Drug Discovery: Current Insights from Medicinal Chemists
Yinqiu Xu, Xuanyi Li, Hequan Yao, et al.
Future Medicinal Chemistry (2019) Vol. 11, Iss. 14, pp. 1669-1672
Open Access | Times Cited: 10
Prospects of Machine Learning With Blockchain in Healthcare and Agriculture
Pushpa Singh, Narendra Singh, Ganesh Chandra Deka
Advances in data mining and database management book series (2020), pp. 178-208
Closed Access | Times Cited: 8
Al-Biruni Earth Radius Optimization for COVID-19 Forecasting
El-Sayed M. El-kenawy, Abdelaziz A. Abdelhamid, Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 1, pp. 883-896
Open Access | Times Cited: 2
Semi-automated workflow for molecular pair analysis and QSAR-assisted transformation space expansion
Ziyi Yang, Li Fu, Aiping Lü, et al.
Journal of Cheminformatics (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 5
A Systematic Literature Review of the Current Status and Future Prospects of Machine Learning Methods and Techniques Applied to Novel Drug Discovery
Ali Abdelkrim, Abdelkrim Bouramoul, Imène Zenbout
International Journal of Organizational and Collective Intelligence (2022) Vol. 12, Iss. 4, pp. 1-25
Closed Access | Times Cited: 3
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