
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:
Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water Contaminants’ Activities and Properties
Shifa Zhong, Xiaohong Guan
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 18193-18202
Closed Access | Times Cited: 55
Shifa Zhong, Xiaohong Guan
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 18193-18202
Closed Access | Times Cited: 55
Showing 1-25 of 55 citing articles:
Multi-task aquatic toxicity prediction model based on multi-level features fusion
Xin Yang, Jianqiang Sun, Bingyu Jin, et al.
Journal of Advanced Research (2024)
Open Access | Times Cited: 26
Xin Yang, Jianqiang Sun, Bingyu Jin, et al.
Journal of Advanced Research (2024)
Open Access | Times Cited: 26
Machine Learning for Polymer Design to Enhance Pervaporation-Based Organic Recovery
Meiqi Yang, Jun‐Jie Zhu, Allyson L. McGaughey, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 23, pp. 10128-10139
Closed Access | Times Cited: 12
Meiqi Yang, Jun‐Jie Zhu, Allyson L. McGaughey, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 23, pp. 10128-10139
Closed Access | Times Cited: 12
Water Quality Inversion of a Typical Rural Small River in Southeastern China Based on UAV Multispectral Imagery: A Comparison of Multiple Machine Learning Algorithms
Yujie Chen, Ke Yao, Beibei Zhu, et al.
Water (2024) Vol. 16, Iss. 4, pp. 553-553
Open Access | Times Cited: 10
Yujie Chen, Ke Yao, Beibei Zhu, et al.
Water (2024) Vol. 16, Iss. 4, pp. 553-553
Open Access | Times Cited: 10
Molecular guidelines for promising antimicrobial agents
Mateusz Rzycki, M. Gładysiewicz, Sebastian Kraszewski
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Mateusz Rzycki, M. Gładysiewicz, Sebastian Kraszewski
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
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
Machine learning framework for predicting cytotoxicity and identifying toxicity drivers of disinfection byproducts
Rabbi Sikder, Huichun Zhang, Peng Gao, et al.
Journal of Hazardous Materials (2024) Vol. 469, pp. 133989-133989
Closed Access | Times Cited: 7
Rabbi Sikder, Huichun Zhang, Peng Gao, et al.
Journal of Hazardous Materials (2024) Vol. 469, pp. 133989-133989
Closed Access | Times Cited: 7
Integrated Transfer Learning and Multitask Learning Strategies to Construct Graph Neural Network Models for Predicting Bioaccumulation Parameters of Chemicals
Zijun Xiao, Minghua Zhu, Jingwen Chen, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 35, pp. 15650-15660
Closed Access | Times Cited: 6
Zijun Xiao, Minghua Zhu, Jingwen Chen, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 35, pp. 15650-15660
Closed Access | Times Cited: 6
Large Language Models as Molecular Design Engines
Debjyoti Bhattacharya, Harrison J. Cassady, Michael A. Hickner, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 18, pp. 7086-7096
Closed Access | Times Cited: 6
Debjyoti Bhattacharya, Harrison J. Cassady, Michael A. Hickner, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 18, pp. 7086-7096
Closed Access | Times Cited: 6
Enhancing Copolymer Property Prediction through the Weighted-Chained-SMILES Machine Learning Framework
Qi Huang, Zuowei Chen, Ziwei Lin, et al.
ACS Applied Polymer Materials (2024) Vol. 6, Iss. 7, pp. 3666-3675
Open Access | Times Cited: 5
Qi Huang, Zuowei Chen, Ziwei Lin, et al.
ACS Applied Polymer Materials (2024) Vol. 6, Iss. 7, pp. 3666-3675
Open Access | Times Cited: 5
Comprehensive machine learning boosts structure-based virtual screening for PARP1 inhibitors
Klaudia Caba, Viet‐Khoa Tran‐Nguyen, Taufiq Rahman, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 5
Klaudia Caba, Viet‐Khoa Tran‐Nguyen, Taufiq Rahman, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 5
An intelligent approach: Integrating ChatGPT for experiment planning in biochar immobilization of soil cadmium
Hongwei Yang, Jie Wang, Rumeng Mo, et al.
Separation and Purification Technology (2024) Vol. 352, pp. 128170-128170
Closed Access | Times Cited: 4
Hongwei Yang, Jie Wang, Rumeng Mo, et al.
Separation and Purification Technology (2024) Vol. 352, pp. 128170-128170
Closed Access | Times Cited: 4
CLSSATP: Contrastive learning and self-supervised learning model for aquatic toxicity prediction
Lin Ye, Xin Yang, Mingxuan Zhang, et al.
Aquatic Toxicology (2025) Vol. 279, pp. 107244-107244
Closed Access
Lin Ye, Xin Yang, Mingxuan Zhang, et al.
Aquatic Toxicology (2025) Vol. 279, pp. 107244-107244
Closed Access
Polymer Biodegradation in Aquatic Environments: A Machine Learning Model Informed by Meta-Analysis of Structure-Biodegradation Relationships
Chengrui Lin, Huichun Zhang
Environmental Science & Technology (2025)
Open Access
Chengrui Lin, Huichun Zhang
Environmental Science & Technology (2025)
Open Access
Applications of Machine Learning Approaches for the Discovery of SARS-CoV-2 PLpro Inhibitors
Sourav Pal, Kellie D. Nance, Dirgha Raj Joshi, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Sourav Pal, Kellie D. Nance, Dirgha Raj Joshi, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Enhancing Activation Energy Predictions under Data Constraints Using Graph Neural Networks
Han-Chung Chang, Ming‐Hsuan Tsai, Yi‐Pei Li
Journal of Chemical Information and Modeling (2025)
Open Access
Han-Chung Chang, Ming‐Hsuan Tsai, Yi‐Pei Li
Journal of Chemical Information and Modeling (2025)
Open Access
Applications of Predictive QSPR Modeling for Deep Eutectic Solvents
Amit Kumar Halder, M. Natália D. S. Cordeiro
Challenges and advances in computational chemistry and physics (2025), pp. 177-203
Closed Access
Amit Kumar Halder, M. Natália D. S. Cordeiro
Challenges and advances in computational chemistry and physics (2025), pp. 177-203
Closed Access
Prediction of acute toxicity of organic contaminants to fish: model development and a novel approach to identify reactive substructures
Shangyu Li, Mingming Zhang, Peizhe Sun
Journal of Hazardous Materials (2025) Vol. 491, pp. 137917-137917
Closed Access
Shangyu Li, Mingming Zhang, Peizhe Sun
Journal of Hazardous Materials (2025) Vol. 491, pp. 137917-137917
Closed Access
Evaluating Degradation Efficiency of Pesticides by Persulfate, Fenton, and Ozonation Oxidation Processes with Machine Learning
Jingrui Wang, Xiaoliu Huangfu, Ruixing Huang, et al.
Environmental Research (2025), pp. 121548-121548
Closed Access
Jingrui Wang, Xiaoliu Huangfu, Ruixing Huang, et al.
Environmental Research (2025), pp. 121548-121548
Closed Access
Developing Quantitative Structure–Activity Relationship (QSAR) Models for Water Contaminants’ Activities/Properties by Fine-Tuning GPT-3 Models
Shifa Zhong, Xiaohong Guan
Environmental Science & Technology Letters (2023) Vol. 10, Iss. 10, pp. 872-877
Closed Access | Times Cited: 10
Shifa Zhong, Xiaohong Guan
Environmental Science & Technology Letters (2023) Vol. 10, Iss. 10, pp. 872-877
Closed Access | Times Cited: 10
Exploring the primary magnetic parameters affecting chemical fractions of heavy metal(loid)s in lake sediment through an interpretable workflow
Ligang Deng, Yifan Fan, Kai Liu, et al.
Journal of Hazardous Materials (2024) Vol. 468, pp. 133859-133859
Closed Access | Times Cited: 3
Ligang Deng, Yifan Fan, Kai Liu, et al.
Journal of Hazardous Materials (2024) Vol. 468, pp. 133859-133859
Closed Access | Times Cited: 3
Development of machine learning-based predictors for early diagnosis of hepatocellular carcinoma
Zimei Zhang, Yu-Ting Huang, Guanghao Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Zimei Zhang, Yu-Ting Huang, Guanghao Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Rapid Screening of Chemicals with Placental Transfer Risk Using Interpretable Machine Learning
Xiaojia Chen, Jingzhi Yao, Yu Ma, et al.
Environmental Science & Technology Letters (2024) Vol. 11, Iss. 8, pp. 798-804
Closed Access | Times Cited: 3
Xiaojia Chen, Jingzhi Yao, Yu Ma, et al.
Environmental Science & Technology Letters (2024) Vol. 11, Iss. 8, pp. 798-804
Closed Access | Times Cited: 3
SmartCADD: AI-QM Empowered Drug Discovery Platform with Explainability
Ayesh Madushanka, Eli Laird, Corey Clark, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 17, pp. 6799-6813
Closed Access | Times Cited: 3
Ayesh Madushanka, Eli Laird, Corey Clark, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 17, pp. 6799-6813
Closed Access | Times Cited: 3
Refining Hydrogel-based Sorbent Design for Efficient Toxic Metal Removal Using Machine Learning-Bayesian Optimization
Jing Zhang, Kaixing Fu, Dawei Wang, et al.
Journal of Hazardous Materials (2024) Vol. 479, pp. 135688-135688
Closed Access | Times Cited: 3
Jing Zhang, Kaixing Fu, Dawei Wang, et al.
Journal of Hazardous Materials (2024) Vol. 479, pp. 135688-135688
Closed Access | Times Cited: 3
Intelligent optimal control model of selection pressure for rapid culture of aerobic granular sludge based on machine learning and simulated annealing algorithm
Zhe Liu, Jie Lei, Linshan Cheng, et al.
Bioresource Technology (2024), pp. 131509-131509
Closed Access | Times Cited: 3
Zhe Liu, Jie Lei, Linshan Cheng, et al.
Bioresource Technology (2024), pp. 131509-131509
Closed Access | Times Cited: 3