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:

Application of artificial intelligence for detection of chemico-biological interactions associated with oxidative stress and DNA damage
Lazar M. Davidovic, Darko Laketić, Jelena Cumic, et al.
Chemico-Biological Interactions (2021) Vol. 345, pp. 109533-109533
Closed Access | Times Cited: 23

Showing 23 citing articles:

Machine Learning and Artificial Intelligence in Toxicological Sciences
Zhoumeng Lin, Wei-Chun Chou
Toxicological Sciences (2022) Vol. 189, Iss. 1, pp. 7-19
Open Access | Times Cited: 70

Machine learning and artificial intelligence in physiologically based pharmacokinetic modeling
Wei-Chun Chou, Zhoumeng Lin
Toxicological Sciences (2022) Vol. 191, Iss. 1, pp. 1-14
Open Access | Times Cited: 57

Artificial neural networks in contemporary toxicology research
Igor Pantić, Jovana Paunović, Jelena Cumic, et al.
Chemico-Biological Interactions (2022) Vol. 369, pp. 110269-110269
Closed Access | Times Cited: 53

Bioactive limonoids from Carapa guianensis seeds oil and the sustainable use of its by-products
Vagner Pereira da Silva, Lavínia de Carvalho Brito, André Mesquita Marques, et al.
Current Research in Toxicology (2023) Vol. 4, pp. 100104-100104
Open Access | Times Cited: 25

Optimizing Cancer Treatment: Exploring the Role of AI in Radioimmunotherapy
Hossein Azadinejad, M. Rad, Ahmad Shariftabrizi, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 397-397
Open Access | Times Cited: 1

Gray-Level Co-occurrence Matrix Analysis for the Detection of Discrete, Ethanol-Induced, Structural Changes in Cell Nuclei: An Artificial Intelligence Approach
Lazar M. Davidovic, Jelena Cumic, Stefan Dugalić, et al.
Microscopy and Microanalysis (2021) Vol. 28, Iss. 1, pp. 265-271
Closed Access | Times Cited: 37

Artificial intelligence approaches to the biochemistry of oxidative stress: Current state of the art
Igor Pantić, Jovana Paunović, Snežana Pejić, et al.
Chemico-Biological Interactions (2022) Vol. 358, pp. 109888-109888
Closed Access | Times Cited: 27

Artificial Intelligence or Augmented Intelligence? Impact on our lives, rights and ethics
Fabio De Felice, Antonella Petrillo, Cristina De Luca, et al.
Procedia Computer Science (2022) Vol. 200, pp. 1846-1856
Open Access | Times Cited: 20

Gray-Level Co-occurrence Matrix Analysis of Nuclear Textural Patterns in Laryngeal Squamous Cell Carcinoma: Focus on Artificial Intelligence Methods
Svetlana Valjarević, Milan Jovanović, Nenad Miladinović, et al.
Microscopy and Microanalysis (2023) Vol. 29, Iss. 3, pp. 1220-1227
Closed Access | Times Cited: 11

SERS-CNN approach for non-invasive and non-destructive monitoring of stem cell growth on a universal substrate through an analysis of the cultivation medium
Anastasia Skvortsova, Andrii Trelin, Antonín Sedlář, et al.
Sensors and Actuators B Chemical (2022) Vol. 375, pp. 132812-132812
Closed Access | Times Cited: 18

An artificial intelligence-based model for cell killing prediction: development, validation and explainability analysis of the ANAKIN model
Francesco Cordoni, Marta Missiaggia, Emanuele Scifoni, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 8, pp. 085017-085017
Open Access | Times Cited: 9

Isothiocyanates Potentiate Tazemetostat-Induced Apoptosis by Modulating the Expression of Apoptotic Genes, Members of Polycomb Repressive Complex 2, and Levels of Tri-Methylating Lysine 27 at Histone 3 in Human Malignant Melanoma Cells
Ioannis Anestopoulos, Ioannis Paraskevaidis, Sotiris Kyriakou, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 5, pp. 2745-2745
Open Access | Times Cited: 3

SERS and advanced chemometrics – Utilization of Siamese neural network for picomolar identification of beta-lactam antibiotics resistance gene fragment
Anastasia Skvortsova, Andrii Trelin, Pavel Kříž, et al.
Analytica Chimica Acta (2021) Vol. 1192, pp. 339373-339373
Closed Access | Times Cited: 21

DNA Sequencing using Artificial Intelligence
Siddharth Goswami, Sachin Sharma
2022 International Conference on Edge Computing and Applications (ICECAA) (2022)
Closed Access | Times Cited: 9

Study on the protective effect of flavonoids extracted from Jatropha curcas leaves against radiation damage in mice
Q.‐Q. Li, Dan He, Yang He
Heliyon (2024) Vol. 10, Iss. 21, pp. e39403-e39403
Open Access | Times Cited: 1

Application of fractal and textural analysis in medical physiology, pathophysiology and pathology
Igor Pantić, Jovana Paunović, Sanja Radojević-Škodrić
Medicinska istrazivanja (2022) Vol. 55, Iss. 3, pp. 43-51
Open Access | Times Cited: 4

Association between Chromatin Structural Organization of Peripheral Blood Neutrophils and Self-Perceived Mental Stress: Gray-Level Co-occurrence Matrix Analysis
Nikola Topalović, Sanja Mazić, Dejan Nešić, et al.
Microscopy and Microanalysis (2021) Vol. 27, Iss. 5, pp. 1202-1208
Closed Access | Times Cited: 5

Development of random forest machine learning model for the detection of changes in liver tissue after exposure to iron oxide nanoparticles
Jovana Paunović, Danijela Vučević, Igor Pantić, et al.
Medicinska istrazivanja (2024) Vol. 57, Iss. 1, pp. 21-26
Open Access

Machine Learning-Assisted Wearable Thermo-Haptic Device for Creating Tactile Sensation
Mine Boz, Yeliz Durgun
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi (2024)
Open Access

Transcriptomics analyses combined with intestinal microorganism survey suggest Resveratrol (RSV) anti-aging and anti-oxidant effects in silkworm (Bombyx mori)
Liang Chen, Jiaxin Zhang, Lei Ding, et al.
Comparative Biochemistry and Physiology Part D Genomics and Proteomics (2024) Vol. 52, pp. 101344-101344
Closed Access

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