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:
Predictive Capability of QSAR Models Based on the CompTox Zebrafish Embryo Assays: An Imbalanced Classification Problem
Mario Lovrić, Olga Malev, Göran Klobučar, et al.
Molecules (2021) Vol. 26, Iss. 6, pp. 1617-1617
Open Access | Times Cited: 14
Mario Lovrić, Olga Malev, Göran Klobučar, et al.
Molecules (2021) Vol. 26, Iss. 6, pp. 1617-1617
Open Access | Times Cited: 14
Showing 14 citing articles:
The uses of zebrafish (Danio rerio) as an in vivo model for toxicological studies: A review based on bibliometrics
Weichao Zhao, Y.-W. Chen, Nan Hu, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 272, pp. 116023-116023
Open Access | Times Cited: 27
Weichao Zhao, Y.-W. Chen, Nan Hu, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 272, pp. 116023-116023
Open Access | Times Cited: 27
Occurrence, hazard, and risk of psychopharmaceuticals and illicit drugs in European surface waters
Charlie J.E. Davey, Michiel H.S. Kraak, Antonia Praetorius, et al.
Water Research (2022) Vol. 222, pp. 118878-118878
Open Access | Times Cited: 36
Charlie J.E. Davey, Michiel H.S. Kraak, Antonia Praetorius, et al.
Water Research (2022) Vol. 222, pp. 118878-118878
Open Access | Times Cited: 36
Application of ToxCast/Tox21 data for toxicity mechanism-based evaluation and prioritization of environmental chemicals: Perspective and limitations
Jaeseong Jeong, Donghyeon Kim, Jinhee Choi
Toxicology in Vitro (2022) Vol. 84, pp. 105451-105451
Closed Access | Times Cited: 36
Jaeseong Jeong, Donghyeon Kim, Jinhee Choi
Toxicology in Vitro (2022) Vol. 84, pp. 105451-105451
Closed Access | Times Cited: 36
Effective prediction of organosilicon molecular structures and risks in aquatic environment with machine learning
Shengyu Cao, Youliang Tian, Ru‐Song Zhao, et al.
The Science of The Total Environment (2025) Vol. 959, pp. 178320-178320
Closed Access
Shengyu Cao, Youliang Tian, Ru‐Song Zhao, et al.
The Science of The Total Environment (2025) Vol. 959, pp. 178320-178320
Closed Access
Vertical Metabolome Transfer from Mother to Child: An Explainable Machine Learning Method for Detecting Metabolomic Heritability
Mario Lovrić, David A. Horner, Liang Chen, et al.
Metabolites (2024) Vol. 14, Iss. 3, pp. 136-136
Open Access | Times Cited: 3
Mario Lovrić, David A. Horner, Liang Chen, et al.
Metabolites (2024) Vol. 14, Iss. 3, pp. 136-136
Open Access | Times Cited: 3
Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints
Mario Lovrić, Tomislav Đuričić, Han Tran, et al.
Pharmaceuticals (2021) Vol. 14, Iss. 8, pp. 758-758
Open Access | Times Cited: 23
Mario Lovrić, Tomislav Đuričić, Han Tran, et al.
Pharmaceuticals (2021) Vol. 14, Iss. 8, pp. 758-758
Open Access | Times Cited: 23
Unlocking the Potential of Zebrafish Research with Artificial Intelligence: Advancements in Tracking, Processing, and Visualization
Yiling Fan, Fang-Rong Hsu, Yuhling Wang, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 11, pp. 2797-2814
Closed Access | Times Cited: 8
Yiling Fan, Fang-Rong Hsu, Yuhling Wang, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 11, pp. 2797-2814
Closed Access | Times Cited: 8
Machine Learning for Predicting Risk of Drug-Induced Autoimmune Diseases by Structural Alerts and Daily Dose
Yue Wu, Jieqiang Zhu, Peter P. Fu, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 13, pp. 7139-7139
Open Access | Times Cited: 9
Yue Wu, Jieqiang Zhu, Peter P. Fu, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 13, pp. 7139-7139
Open Access | Times Cited: 9
A QSAR study for predicting malformation in zebrafish embryo
Mahsa Daneshmand, Jamileh Salar-Amoli, Negin BaghbanZadeh
Toxicology Mechanisms and Methods (2024) Vol. 34, Iss. 7, pp. 743-749
Closed Access
Mahsa Daneshmand, Jamileh Salar-Amoli, Negin BaghbanZadeh
Toxicology Mechanisms and Methods (2024) Vol. 34, Iss. 7, pp. 743-749
Closed Access
A Chemical Structure and Machine Learning Approach to Assess the Potential Bioactivity of Endogenous Metabolites and Their Association with Early Childhood Systemic Inflammation
Mario Lovrić, Tingting Wang, Mads Rønnow Staffe, et al.
Metabolites (2024) Vol. 14, Iss. 5, pp. 278-278
Open Access
Mario Lovrić, Tingting Wang, Mads Rønnow Staffe, et al.
Metabolites (2024) Vol. 14, Iss. 5, pp. 278-278
Open Access
Quantitative Structure-Activity Relationship Modeling for the Prediction of Fish Toxicity Lethal Concentration on Fathead Minnow
R. Kavitha, D. S. Guru
Lecture notes in computer science (2024), pp. 34-46
Closed Access
R. Kavitha, D. S. Guru
Lecture notes in computer science (2024), pp. 34-46
Closed Access
Advancements in the Developmental Zebrafish Model for Predictive Human Toxicology
Mackenzie Morshead, Robert L. Tanguay
Current Opinion in Toxicology (2024) Vol. 41, pp. 100516-100516
Closed Access
Mackenzie Morshead, Robert L. Tanguay
Current Opinion in Toxicology (2024) Vol. 41, pp. 100516-100516
Closed Access
Applying a Random Forest Approach to Imbalanced Dataset on Network Monitoring Analysis
Qian Chen, Xing Zhang, Ying Wang, et al.
Communications in computer and information science (2022), pp. 28-37
Closed Access | Times Cited: 1
Qian Chen, Xing Zhang, Ying Wang, et al.
Communications in computer and information science (2022), pp. 28-37
Closed Access | Times Cited: 1
A chemical structure and machine learning approach to assess the potential bioactivity of endogenous metabolites and their association with early-childhood hs-CRP levels
Mario Lovrić, Tingting Wang, Mads Rønnow Staffe, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Mario Lovrić, Tingting Wang, Mads Rønnow Staffe, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
