Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Moving Average-Based Multitasking In Silico Classification Modeling: Where Do We Stand and What Is Next?
Amit Kumar Halder, Ana S. Moura, M. Natália D. S. Cordeiro
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 9, pp. 4937-4937
Open Access | Times Cited: 13

Showing 13 citing articles:

Perturbation-theory machine learning for mood disorders: virtual design of dual inhibitors of NET and SERT proteins
Alejandro Speck‐Planche, Valeria V. Kleandrova, M. Natália D. S. Cordeiro
BMC Chemistry (2025) Vol. 19, Iss. 1
Open Access
Predicting the Aquatic Toxicity of Pharmaceutical and Personal Care Products: A Multitasking Modeling Approach
Amit Kumar Halder, Tanushree Pradhan, M. Natália D. S. Cordeiro
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1246-1246
Open Access
Perturbation Theory Machine Learning Model for Phenotypic Early Antineoplastic Drug Discovery: Design of Virtual Anti-Lung-Cancer Agents
Valeria V. Kleandrova, M. Natália D. S. Cordeiro, Alejandro Speck‐Planche
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9344-9344
Open Access | Times Cited: 3
Predicting the ecotoxicity of endocrine disruptive chemicals: Multitasking in silico approaches towards global models
Amit Kumar Halder, Ana S. Moura, M. Natália D. S. Cordeiro
The Science of The Total Environment (2023) Vol. 889, pp. 164337-164337
Open Access | Times Cited: 8
Current In Silico Methods for Multi-Target Drug Discovery in Early Anticancer Research: The Rise of the Perturbation-Theory Machine Learning Approach
Valeria V. Kleandrova, M. Natália D. S. Cordeiro, Alejandro Speck‐Planche
Future Medicinal Chemistry (2023) Vol. 15, Iss. 18, pp. 1647-1650
Closed Access | Times Cited: 5
A novel procedure for selection of molecular descriptors: QSAR model for mutagenicity of nitroaromatic compounds
Branislav Stanković, Filip Marinković
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 42, pp. 54603-54617
Closed Access | Times Cited: 1
Designing multi-target drugs for the treatment of major depressive disorder
Amit Kumar Halder, Soumya Mitra, M. Natália D. S. Cordeiro
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 6, pp. 643-658
Closed Access | Times Cited: 4
Optimizing drug discovery using multitasking models for quantitative structure–biological effect relationships: an update of the literature
Valeria V. Kleandrova, M. Natália D. S. Cordeiro, Alejandro Speck‐Planche
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 11, pp. 1231-1243
Closed Access | Times Cited: 4
Proanthocyanidin Structure-Activity Relationship Analysis by Path Analysis Model
Zhaoxuan Li, Jingling Liu, Jie You, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 7, pp. 6379-6379
Open Access | Times Cited: 2
Cheminformatics-Driven Prediction of BACE-1 Inhibitors: Affinity and Molecular Mechanism Exploration
Rahul D. Jawarkar, Anam Khan, Suraj N. Mali, et al.
Chemical Physics Impact (2024) Vol. 9, pp. 100754-100754
Open Access
Quantitative read-across structure–property relationship (q-RASPR): a novel approach to estimate the bioaccumulative potential for diverse classes of industrial chemicals in aquatic organisms
P.K. Bhattacharyya, Pabitra Narayan Samanta, Ankur Kumar, et al.
Environmental Science Processes & Impacts (2024)
Closed Access
Evaluating the utility of a high throughput thiol-containing fluorescent probe to screen for reactivity: A case study with the Tox21 library
Grace Patlewicz, Katie Paul Friedman, Keith A. Houck, et al.
Computational Toxicology (2023) Vol. 26, pp. 100271-100271
Open Access | Times Cited: 1
The latest guidance on the simultaneous design of virtually active and non-hemolytic peptides
Alejandro Speck‐Planche, Valeria V. Kleandrova
Expert Opinion on Drug Discovery (2022) Vol. 17, Iss. 10, pp. 1067-1069
Open Access
Page 1

Scroll to top