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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:

In Silico Prediction of the Toxicity of Nitroaromatic Compounds: Application of Ensemble Learning QSAR Approach
Amirreza Daghighi, Gerardo M. Casañola‐Martín, Troy Timmerman, et al.
Toxics (2022) Vol. 10, Iss. 12, pp. 746-746
Open Access | Times Cited: 23

Showing 23 citing articles:

Artificial intelligent based techno-economic-exergetic optimization of a thermoelectric enhanced building integrated photovoltaic thermal system
Ramtin Javadijam, Mohsen Dehbashi, Mohammad Hassan Shahverdian, et al.
Journal of Building Engineering (2024) Vol. 84, pp. 108526-108526
Closed Access | Times Cited: 8
Quantitative read-across structure-activity relationship (q-RASAR): A novel approach to estimate the subchronic oral safety (NOAEL) of diverse organic chemicals in rats
Shilpayan Ghosh, Kunal Roy
Toxicology (2024) Vol. 505, pp. 153824-153824
Closed Access | Times Cited: 6
CombinatorixPy: Advancing mixture descriptors for computational chemistry
Rahil Ashtari Mahini, Gerardo M. Casañola‐Martín, Stephen Szwiec, et al.
SoftwareX (2025) Vol. 29, pp. 102060-102060
Closed Access
Predicting the Mutagenic Activity of Nitroaromatics Using Conceptual Density Functional Theory Descriptors and Explainable No-Code Machine Learning Approaches
Andrés Halabi Diaz, Mario Duque‐Noreña, Elizabeth Rincón, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Predicting Mechanical Properties of Carbon Nanotube (CNT) Images Using Multi-Layer Synthetic Finite Element Model Simulations
Kaveh Safavigerdini, Koundinya Nouduri, Ramakrishna Surya, et al.
2022 IEEE International Conference on Image Processing (ICIP) (2023), pp. 3264-3268
Open Access | Times Cited: 13
Applications of conceptual density functional theory in reference to quantitative structure–activity / property relationship
Pooja Sharma, Prabhat Ranjan, Tanmoy Chakraborty
Molecular Physics (2024) Vol. 122, Iss. 23
Open Access | Times Cited: 4
Multi-Endpoint Acute Toxicity Assessment of Organic Compounds Using Large-Scale Machine Learning Modeling
Amirreza Daghighi, Gerardo M. Casañola‐Martín, Kweeni Iduoku, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 23, pp. 10116-10127
Closed Access | Times Cited: 4
First report on ecotoxicological QSTR and i-QSTR modeling for the prediction of acute ecotoxicity of diverse organic chemicals against three protozoan species
Ankur Kumar, Vinay Kumar, Trina Podder, et al.
Chemosphere (2023) Vol. 335, pp. 139066-139066
Closed Access | Times Cited: 10
Relationships between the Photodegradation Reaction Rate and Structural Properties of Polymer Systems
Meade Erickson, Gerardo M. Casañola‐Martín, Yulun Han, et al.
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 9, pp. 2190-2200
Closed Access | Times Cited: 3
Predicting bioconcentration factors (BCFs) for Per- and Polyfluoroalkyl Substances (PFAS)
Dominika Kowalska, Anita Sosnowska, Szymon Zdybel, et al.
Chemosphere (2024) Vol. 364, pp. 143146-143146
Closed Access | Times Cited: 3
POxload: Machine Learning Estimates Drug Loadings of Polymeric Micelles
Josef Kehrein, Alex Bunker, Robert Luxenhofer
Molecular Pharmaceutics (2024) Vol. 21, Iss. 7, pp. 3356-3374
Closed Access | Times Cited: 2
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: 2
Ensemble Learning, Deep Learning-Based and Molecular Descriptor-Based Quantitative Structure–Activity Relationships
Yasunari Matsuzaka, Yoshihiro Uesawa
Molecules (2023) Vol. 28, Iss. 5, pp. 2410-2410
Open Access | Times Cited: 5
In Silico Prediction of the Biodegradability of Chlorinated Com-pounds: Application of Quantitative Structure-Biodegradability Relationship Approach
Meade Erickson, Denys Vasyutyn, Marvellous Ngongang, et al.
(2024)
Open Access | Times Cited: 1
Prediction of Dielectric Constant in Series of Polymers by Quantitative Structure-Property Relationship (QSPR)
Estefanía Ascencio‐Medina, Shan He, Amirreza Daghighi, et al.
Polymers (2024) Vol. 16, Iss. 19, pp. 2731-2731
Open Access | Times Cited: 1
MixtureMetrics: A comprehensive package to develop additive numerical features to describe complex materials for machine learning modeling
Rahil Ashtari Mahini, Gerardo M. Casañola‐Martín, Simone A. Ludwig, et al.
SoftwareX (2024) Vol. 28, pp. 101911-101911
Open Access | Times Cited: 1
Usage of model combination in computational toxicology
Pablo Rodríguez-Belenguer, E. Vila, Manuel Pastor, et al.
Toxicology Letters (2023) Vol. 389, pp. 34-44
Open Access | Times Cited: 4
Stability Constant and Potentiometric Sensitivity of Heavy Metal–Organic Fluorescent Compound Complexes: QSPR Models for Prediction and Design of Novel Coumarin-like Ligands
Phan Thi Diem-Tran, Tue-Tam Ho, Nguyen-Van Tuan, et al.
Toxics (2023) Vol. 11, Iss. 7, pp. 595-595
Open Access | Times Cited: 3
In silico analysis of embolism in cerebral arteries using fluid-structure interaction method
Pouria Talebibarmi, Bahman Vahidi, Mahtab Ebad
Heliyon (2024) Vol. 10, Iss. 9, pp. e30443-e30443
Open Access
Chemical Feature-Based Machine Learning Model for Predicting Photophysical Properties of BODIPY Compounds: Density Functional Theory and Quantitative Structure–Property Relationship Modeling
Gerardo M. Casañola‐Martín, Jing Wang, Jian‐Ge Zhou, et al.
Research Square (Research Square) (2024)
Open Access
QSAR Regression Models for Predicting HMG-CoA Reductase Inhibition
Robert Ancuceanu, Patriciu Constantin Popovici, Doina Drăgănescu, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 11, pp. 1448-1448
Open Access
Development of hybrid models by the integration of the Read-Across hypothesis with the QSAR framework for the assessment of Developmental and Reproductive Toxicity (DART) tested according to OECD TG 414
Sapna Kumari Pandey, Kunal Roy
Toxicology Reports (2024) Vol. 13, pp. 101822-101822
Open Access
Chemical feature-based machine learning model for predicting photophysical properties of BODIPY compounds: density functional theory and quantitative structure–property relationship modeling
Gerardo M. Casañola‐Martín, Jing Wang, Jian‐Ge Zhou, et al.
Journal of Molecular Modeling (2024) Vol. 31, Iss. 1
Closed Access
Creating semi-Quanta multi-layer synthetic CNT images using CycleGAN
Kaveh Safavigerdini, Ramakrishna Surya, Andrew Reinhard, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
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