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:
Leveraging Cell Painting Images to Expand the Applicability Domain and Actively Improve Deep Learning Quantitative Structure–Activity Relationship Models
Dorota Herman, Maciej M. Kańduła, Lorena Freitas, et al.
Chemical Research in Toxicology (2023) Vol. 36, Iss. 7, pp. 1028-1036
Open Access | Times Cited: 13
Dorota Herman, Maciej M. Kańduła, Lorena Freitas, et al.
Chemical Research in Toxicology (2023) Vol. 36, Iss. 7, pp. 1028-1036
Open Access | Times Cited: 13
Showing 13 citing articles:
A Decade in a Systematic Review: The Evolution and Impact of Cell Painting
Srijit Seal, Maria‐Anna Trapotsi, Ola Spjuth, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 11
Srijit Seal, Maria‐Anna Trapotsi, Ola Spjuth, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 11
Exploring the artificial intelligence and machine learning models in the context of drug design difficulties and future potential for the pharmaceutical sectors
Periyasamy Natarajan Shiammala, N. Duraimutharasan, Baskaralingam Vaseeharan, et al.
Methods (2023) Vol. 219, pp. 82-94
Closed Access | Times Cited: 19
Periyasamy Natarajan Shiammala, N. Duraimutharasan, Baskaralingam Vaseeharan, et al.
Methods (2023) Vol. 219, pp. 82-94
Closed Access | Times Cited: 19
Morphological profiling for drug discovery in the era of deep learning
Qiaosi Tang, Ranjala Ratnayake, Gustavo Seabra, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 4
Qiaosi Tang, Ranjala Ratnayake, Gustavo Seabra, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 4
Phenotypic drug discovery
Sonja Sievers, Herbert Waldmann, Slava Ziegler
Elsevier eBooks (2025)
Closed Access
Sonja Sievers, Herbert Waldmann, Slava Ziegler
Elsevier eBooks (2025)
Closed Access
Cell Painting: a decade of discovery and innovation in cellular imaging
Srijit Seal, Maria‐Anna Trapotsi, Ola Spjuth, et al.
Nature Methods (2024)
Closed Access | Times Cited: 3
Srijit Seal, Maria‐Anna Trapotsi, Ola Spjuth, et al.
Nature Methods (2024)
Closed Access | Times Cited: 3
Introduction to the Special Issue: AI Meets Toxicology
Günter Klambauer, Djork-Arné Clevert, Imran Shah, et al.
Chemical Research in Toxicology (2023) Vol. 36, Iss. 8, pp. 1163-1167
Closed Access | Times Cited: 7
Günter Klambauer, Djork-Arné Clevert, Imran Shah, et al.
Chemical Research in Toxicology (2023) Vol. 36, Iss. 8, pp. 1163-1167
Closed Access | Times Cited: 7
Detection of a Mitochondrial Fragmentation and Integrated Stress Response Using the Cell Painting Assay
Soheila Rezaei Adariani, Daya Agne, Sandra Koska, et al.
Journal of Medicinal Chemistry (2024) Vol. 67, Iss. 15, pp. 13252-13270
Open Access | Times Cited: 2
Soheila Rezaei Adariani, Daya Agne, Sandra Koska, et al.
Journal of Medicinal Chemistry (2024) Vol. 67, Iss. 15, pp. 13252-13270
Open Access | Times Cited: 2
Cell Painting and Chemical Structure Read-Across Can Complement Each Other for Rat Acute Oral Toxicity Prediction in Chemical Early Derisking
F. Camilleri, J. Wenda, C. Pecoraro-Mercier, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 11, pp. 1851-1866
Closed Access | Times Cited: 1
F. Camilleri, J. Wenda, C. Pecoraro-Mercier, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 11, pp. 1851-1866
Closed Access | Times Cited: 1
Detection of a Mitochondrial Stress Phenotype using the Cell Painting Assay
Soheila Rezaei Adariani, Daya Agne, Sandra Koska, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Soheila Rezaei Adariani, Daya Agne, Sandra Koska, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
FSL-CP: a benchmark for small molecule activity few-shot prediction using cell microscopy images
Son V. Ha, Lucas Leuschner, Paul Czodrowski
Digital Discovery (2024) Vol. 3, Iss. 4, pp. 719-727
Open Access
Son V. Ha, Lucas Leuschner, Paul Czodrowski
Digital Discovery (2024) Vol. 3, Iss. 4, pp. 719-727
Open Access
Low Concentration Cell Painting Images Enable the Identification of Highly Potent Compounds
Son V. Ha, Steffen Jaensch, Lorena Freitas, et al.
Research Square (Research Square) (2024)
Open Access
Son V. Ha, Steffen Jaensch, Lorena Freitas, et al.
Research Square (Research Square) (2024)
Open Access
Low concentration cell painting images enable the identification of highly potent compounds
Son V. Ha, Steffen Jaensch, Lorena G. A. Freitas, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Son V. Ha, Steffen Jaensch, Lorena G. A. Freitas, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Insights into the Identification of iPSC- and Monocyte-Derived Macrophage-Polarizing Compounds by AI-Fueled Cell Painting Analysis Tools
Johanna B. Brüggenthies, Jakob Dittmer, Eva M. Garrido-Martín, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 22, pp. 12330-12330
Open Access
Johanna B. Brüggenthies, Jakob Dittmer, Eva M. Garrido-Martín, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 22, pp. 12330-12330
Open Access
FSL-CP: A Benchmark for Small Molecule Activity Few-Shot Prediction using Cell Microscopy Images
Son V. Ha, Lucas Leuschner, Paul Czodrowski
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Son V. Ha, Lucas Leuschner, Paul Czodrowski
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
