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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:

Ensemble modeling with machine learning and deep learning to provide interpretable generalized rules for classifying CNS drugs with high prediction power
Tzu-Hui Yu, Bo‐Han Su, Leo Chander Battalora, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 38

Showing 1-25 of 38 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
Breaking the Barriers: Machine-Learning-Based c-RASAR Approach for Accurate Blood–Brain Barrier Permeability Prediction
Vinay Kumar, Arkaprava Banerjee, Kunal Roy
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 10, pp. 4298-4309
Closed Access | Times Cited: 13
Re-Routing Drugs to Blood Brain Barrier: A Comprehensive Analysis of Machine Learning Approaches With Fingerprint Amalgamation and Data Balancing
Mohammed Yusuf Ansari, Vaisali Chandrasekar, Ajay Vikram Singh, et al.
IEEE Access (2022) Vol. 11, pp. 9890-9906
Open Access | Times Cited: 56
Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level
Ren Qi, Quan Zou
Research (2023) Vol. 6
Open Access | Times Cited: 35
Recent Advances in Quantum Computing for Drug Discovery and Development
Peihua Wang, Jen‐Hao Chen, Yu-Yuan Yang, et al.
IEEE Nanotechnology Magazine (2023) Vol. 17, Iss. 2, pp. 26-30
Closed Access | Times Cited: 27
Recent Studies of Artificial Intelligence on In Silico Drug Distribution Prediction
Thi Tuyet Van Tran, Hilal Tayara, Kil To Chong
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 3, pp. 1815-1815
Open Access | Times Cited: 21
Identifying Substructures That Facilitate Compounds to Penetrate the Blood–Brain Barrier via Passive Transport Using Machine Learning Explainer Models
Lucca Caiaffa Santos Rosa, Caio Oliveira Argolo, Cayque Monteiro Castro Nascimento, et al.
ACS Chemical Neuroscience (2024) Vol. 15, Iss. 11, pp. 2144-2159
Open Access | Times Cited: 7
User-friendly and industry-integrated AI for medicinal chemists and pharmaceuticals
Olga Kapustina, Polina Burmakina, Nina Gubina, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100072-100072
Open Access | Times Cited: 7
Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery
Purvashi Pasrija, Prakash Jha, Pruthvi Upadhyaya, et al.
Current Topics in Medicinal Chemistry (2022) Vol. 22, Iss. 20, pp. 1692-1727
Closed Access | Times Cited: 30
Investigation of the Binding Fraction of PFAS in Human Plasma and Underlying Mechanisms Based on Machine Learning and Molecular Dynamics Simulation
Huiming Cao, Peng Jian-hua, Zhen Zhou, et al.
Environmental Science & Technology (2022) Vol. 57, Iss. 46, pp. 17762-17773
Closed Access | Times Cited: 27
When Machine Learning and Deep Learning Come to the Big Data in Food Chemistry
Yufeng Jane Tseng, Pei-Jiun Chuang, Michael Appell
ACS Omega (2023) Vol. 8, Iss. 18, pp. 15854-15864
Open Access | Times Cited: 19
Machine learning based dynamic consensus model for predicting blood-brain barrier permeability
Bitopan Mazumdar, Pankaj Kumar Deva Sarma, Hridoy Jyoti Mahanta, et al.
Computers in Biology and Medicine (2023) Vol. 160, pp. 106984-106984
Closed Access | Times Cited: 15
Anesthetic drug discovery with computer-aided drug design and machine learning
Xianggen Liu, Zhe Xue, Mingmin Luo, et al.
Anesthesiology and Perioperative Science (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 6
Screening of Estrogen Receptor Activity of Per- and Polyfluoroalkyl Substances Based on Deep Learning and In Vivo Assessment
Xudi Pang, Miao Lu, Ying Yang, et al.
Environmental Pollution (2025), pp. 125843-125843
Closed Access
Explainable artificial intelligence: A taxonomy and guidelines for its application to drug discovery
Ignacio Ponzoni, Juan Antonio Páez Prosper, Nuria E. Campillo
Wiley Interdisciplinary Reviews Computational Molecular Science (2023) Vol. 13, Iss. 6
Closed Access | Times Cited: 14
Machine learning assisted-nanomedicine using magnetic nanoparticles for central nervous system diseases
Asahi Tomitaka, Arti Vashist, Nagesh Kolishetti, et al.
Nanoscale Advances (2023) Vol. 5, Iss. 17, pp. 4354-4367
Open Access | Times Cited: 12
A Scoping Review on the Progress, Applicability, and Future of Explainable Artificial Intelligence in Medicine
Raquel González-Alday, Esteban García-Cuesta, Casimir A. Kulikowski, et al.
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10778-10778
Open Access | Times Cited: 12
Experimental and Computational Methods to Assess Central Nervous System Penetration of Small Molecules
Mayuri Gupta, Jun Feng, Govinda Bhisetti
Molecules (2024) Vol. 29, Iss. 6, pp. 1264-1264
Open Access | Times Cited: 4
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 4
An ensemble machine learning model generates a focused screening library for the identification of CDK8 inhibitors
Tony Eight Lin, Dyan Yen, Wei‐Chun HuangFu, et al.
Protein Science (2024) Vol. 33, Iss. 6
Open Access | Times Cited: 3
Machine Learning and Deep Learning Algorithms for Alzheimer Disease Detection and its Implication in Society 5.0
Nilanjana Pradhan, Shrddha Sagar, Ajay Shankar Singh
Disruptive technologies and digital transformations for society 5.0 (2024), pp. 285-305
Closed Access | Times Cited: 2
Accurate Prediction of Rat Acute Oral Toxicity and Reference Dose for Thousands of Polycyclic Aromatic Hydrocarbon Derivatives Based on Chemometric QSAR and Machine Learning
Shuang Wu, Shixin Li, Jing Qiu, et al.
Environmental Science & Technology (2024)
Closed Access | Times Cited: 2
Can Machine Learning Overcome the 95% Failure Rate and Reality that Only 30% of Approved Cancer Drugs Meaningfully Extend Patient Survival?
Duxin Sun, Christian Macedonia, Zhigang Chen, et al.
Journal of Medicinal Chemistry (2024)
Closed Access | Times Cited: 2
Overcoming Challenges in Small-Molecule Drug Bioavailability: A Review of Key Factors and Approaches
Ke Wu, Soon Hwan Kwon, Xuhan Zhou, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 23, pp. 13121-13121
Open Access | Times Cited: 2
QSAR in natural non-peptidic food-related compounds: Current status and future perspective
Yi Zhao, Yuting Xia, Yuandong Yu, et al.
Trends in Food Science & Technology (2023) Vol. 140, pp. 104165-104165
Closed Access | Times Cited: 4
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