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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 Unbiased Method To Build Benchmarking Sets for Ligand-Based Virtual Screening and its Application To GPCRs
Jie Xia, Hongwei Jin, Zhenming Liu, et al.
Journal of Chemical Information and Modeling (2014) Vol. 54, Iss. 5, pp. 1433-1450
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
Izhar Wallach, Michael Dzamba, Abraham Heifets
arXiv (Cornell University) (2015)
Open Access | Times Cited: 482
Most Ligand-Based Classification Benchmarks Reward Memorization Rather than Generalization
Izhar Wallach, Abraham Heifets
Journal of Chemical Information and Modeling (2018) Vol. 58, Iss. 5, pp. 916-932
Closed Access | Times Cited: 201
Machine Learning-based Virtual Screening and Its Applications to Alzheimer’s Drug Discovery: A Review
Kristy A. Carpenter, Xudong Huang
Current Pharmaceutical Design (2018) Vol. 24, Iss. 28, pp. 3347-3358
Open Access | Times Cited: 167
Getting the most out of PubChem for virtual screening
Sunghwan Kim
Expert Opinion on Drug Discovery (2016) Vol. 11, Iss. 9, pp. 843-855
Open Access | Times Cited: 144
Deep Learning and Virtual Drug Screening
Kristy A. Carpenter, David S. Cohen, Juliet T. Jarrell, et al.
Future Medicinal Chemistry (2018) Vol. 10, Iss. 21, pp. 2557-2567
Open Access | Times Cited: 127
Comprehensive Survey of Recent Drug Discovery Using Deep Learning
Jintae Kim, Sera Park, Dongbo Min, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 18, pp. 9983-9983
Open Access | Times Cited: 100
Decoys Selection in Benchmarking Datasets: Overview and Perspectives
Manon Réau, Florent Langenfeld, Jean‐François Zagury, et al.
Frontiers in Pharmacology (2018) Vol. 9
Open Access | Times Cited: 93
Property-Unmatched Decoys in Docking Benchmarks
Reed M. Stein, Yang Ying, Trent E. Balius, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 2, pp. 699-714
Open Access | Times Cited: 93
Benchmarking Data Sets for the Evaluation of Virtual Ligand Screening Methods: Review and Perspectives
Nathalie Lagarde, Jean‐François Zagury, Matthieu Montès
Journal of Chemical Information and Modeling (2015) Vol. 55, Iss. 7, pp. 1297-1307
Open Access | Times Cited: 83
Structure-Based Discovery of a Selective KDM5A Inhibitor that Exhibits Anti-Cancer Activity via Inducing Cell Cycle Arrest and Senescence in Breast Cancer Cell Lines
Guan–Jun Yang, Chung-Nga Ko, Hai‐Jing Zhong, et al.
Cancers (2019) Vol. 11, Iss. 1, pp. 92-92
Open Access | Times Cited: 67
AutoMolDesigner for Antibiotic Discovery: An AI-Based Open-Source Software for Automated Design of Small-Molecule Antibiotics
Tao Shen, Jiale Guo, Zunsheng Han, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 575-583
Open Access | Times Cited: 6
Multistage Screening Reveals 3-Substituted Indolin-2-one Derivatives as Novel and Isoform-Selective c-Jun N-terminal Kinase 3 (JNK3) Inhibitors: Implications to Drug Discovery for Potential Treatment of Neurodegenerative Diseases
Xiaodong Dou, Huixia Huang, Yibo Li, et al.
Journal of Medicinal Chemistry (2019) Vol. 62, Iss. 14, pp. 6645-6664
Closed Access | Times Cited: 49
Benchmarking methods and data sets for ligand enrichment assessment in virtual screening
Jie Xia, Ermias Lemma Tilahun, Terry-Elinor Reid, et al.
Methods (2014) Vol. 71, pp. 146-157
Open Access | Times Cited: 48
FINDSITEcomb2.0: A New Approach for Virtual Ligand Screening of Proteins and Virtual Target Screening of Biomolecules
Hongyi Zhou, Hongnan Cao, Jeffrey Skolnick
Journal of Chemical Information and Modeling (2018) Vol. 58, Iss. 11, pp. 2343-2354
Open Access | Times Cited: 42
FRAGSITE: A Fragment-Based Approach for Virtual Ligand Screening
Hongyi Zhou, Hongnan Cao, Jeffrey Skolnick
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 4, pp. 2074-2089
Open Access | Times Cited: 30
Multimodal data fusion for supervised learning-based identification of USP7 inhibitors: a systematic comparison
Wenfeng Shen, He-wei Tang, Jiabo Li, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 12
Transform Drug Discovery and Development With Generative Artificial Intelligence
Antonio Lavecchia
(2025), pp. 489-537
Closed Access
RADER: a RApid DEcoy Retriever to facilitate decoy based assessment of virtual screening
Ling Wang, Xiaoqian Pang, Yecheng Li, et al.
Bioinformatics (2016) Vol. 33, Iss. 8, pp. 1235-1237
Open Access | Times Cited: 32
Combinatorial Pharmacophore-Based 3D-QSAR Analysis and Virtual Screening of FGFR1 Inhibitors
Nannan Zhou, Yuan Xu, Xian Liu, et al.
International Journal of Molecular Sciences (2015) Vol. 16, Iss. 6, pp. 13407-13426
Open Access | Times Cited: 29
Identification of Novel Aurora Kinase A (AURKA) Inhibitors via Hierarchical Ligand-Based Virtual Screening
Yue Kong, Andreas Bender, Aixia Yan
Journal of Chemical Information and Modeling (2017) Vol. 58, Iss. 1, pp. 36-47
Closed Access | Times Cited: 29
Evaluation of Cross-Validation Strategies in Sequence-Based Binding Prediction Using Deep Learning
Angela Lopez-del Rio, Alfons Nonell‐Canals, David Vidal, et al.
Journal of Chemical Information and Modeling (2019) Vol. 59, Iss. 4, pp. 1645-1657
Open Access | Times Cited: 29
HDAC3i‐Finder: A Machine Learning‐based Computational Tool to Screen for HDAC3 Inhibitors
Shan Li, Yu Ding, Miaomiao Chen, et al.
Molecular Informatics (2020) Vol. 40, Iss. 3
Closed Access | Times Cited: 26
Comparative Modeling and Benchmarking Data Sets for Human Histone Deacetylases and Sirtuin Families
Jie Xia, Ermias Lemma Tilahun, Eyob Hailu Kebede, et al.
Journal of Chemical Information and Modeling (2015) Vol. 55, Iss. 2, pp. 374-388
Open Access | Times Cited: 27
Progress of ATM inhibitors: opportunities and challenges
Shan Du, Qi Liang, Jianyou Shi
European Journal of Medicinal Chemistry (2024) Vol. 277, pp. 116781-116781
Closed Access | Times Cited: 2
Discovery of novel glycogen synthase kinase-3α inhibitors: Structure-based virtual screening, preliminary SAR and biological evaluation for treatment of acute myeloid leukemia
Yanxing Wang, Xiaodong Dou, Lan Jiang, et al.
European Journal of Medicinal Chemistry (2019) Vol. 171, pp. 221-234
Closed Access | Times Cited: 22
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