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:
Building Machine Learning Small Molecule Melting Points and Solubility Models Using CCDC Melting Points Dataset
Xiangwei Zhu, Valery Polyakov, Krishna Bajjuri, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 10, pp. 2948-2959
Closed Access | Times Cited: 15
Xiangwei Zhu, Valery Polyakov, Krishna Bajjuri, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 10, pp. 2948-2959
Closed Access | Times Cited: 15
Showing 15 citing articles:
Progress of machine learning in the application of small molecule druggability prediction
Junyao Li, Jianmei Zhang, Rui Guo, et al.
European Journal of Medicinal Chemistry (2025) Vol. 285, pp. 117269-117269
Closed Access | Times Cited: 1
Junyao Li, Jianmei Zhang, Rui Guo, et al.
European Journal of Medicinal Chemistry (2025) Vol. 285, pp. 117269-117269
Closed Access | Times Cited: 1
Extrapolation validation (EV): a universal validation method for mitigating machine learning extrapolation risk
Mengxian Yu, Yin‐Ning Zhou, Qiang Wang, et al.
Digital Discovery (2024) Vol. 3, Iss. 5, pp. 1058-1067
Open Access | Times Cited: 6
Mengxian Yu, Yin‐Ning Zhou, Qiang Wang, et al.
Digital Discovery (2024) Vol. 3, Iss. 5, pp. 1058-1067
Open Access | Times Cited: 6
Hybrid intelligence for environmental pollution: biodegradability assessment of organic compounds through multimodal integration of graph attention networks and QSAR models
Abbas Salimi, Jin Yong Lee
Environmental Science Processes & Impacts (2025)
Closed Access
Abbas Salimi, Jin Yong Lee
Environmental Science Processes & Impacts (2025)
Closed Access
All-ionic liquid electrochromic devices based on viologen-type and ferrocene-type room-temperature ionic liquids with temperature adaptability and environmental friendliness
Jinxu Zhao, Qijun Chen, Zitao Wang, et al.
Solar Energy Materials and Solar Cells (2024) Vol. 271, pp. 112862-112862
Closed Access | Times Cited: 4
Jinxu Zhao, Qijun Chen, Zitao Wang, et al.
Solar Energy Materials and Solar Cells (2024) Vol. 271, pp. 112862-112862
Closed Access | Times Cited: 4
Comment on ‘Physics-based representations for machine learning properties of chemical reactions’
Kevin Spiekermann, Thijs Stuyver, Lagnajit Pattanaik, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 4, pp. 048001-048001
Open Access | Times Cited: 10
Kevin Spiekermann, Thijs Stuyver, Lagnajit Pattanaik, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 4, pp. 048001-048001
Open Access | Times Cited: 10
The Cambridge Structural Database and structural dynamics
Hans‐Beat Bürgi
Structural Dynamics (2024) Vol. 11, Iss. 2
Open Access | Times Cited: 3
Hans‐Beat Bürgi
Structural Dynamics (2024) Vol. 11, Iss. 2
Open Access | Times Cited: 3
PythiaCHEM : a user-friendly machine learning toolkit for chemistry
Stamatia Zavitsanou, Zonghua Bo, Emanuele Casali, et al.
(2024)
Open Access | Times Cited: 1
Stamatia Zavitsanou, Zonghua Bo, Emanuele Casali, et al.
(2024)
Open Access | Times Cited: 1
Deep learning model for precise prediction and design of low-melting point phthalonitrile monomers
Rongxing Lu, Yue Han, Junbao Hu, et al.
Chemical Engineering Journal (2024) Vol. 497, pp. 154815-154815
Closed Access | Times Cited: 1
Rongxing Lu, Yue Han, Junbao Hu, et al.
Chemical Engineering Journal (2024) Vol. 497, pp. 154815-154815
Closed Access | Times Cited: 1
Towards the prediction of drug solubility in binary solvent mixtures at various temperatures using machine learning
Zeqing Bao, Gary Tom, Austin Cheng, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Zeqing Bao, Gary Tom, Austin Cheng, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Graph Neural Networks for Identifying Protein-Reactive Compounds
Victor Hugo Cano Gil, Christopher N. Rowley
Digital Discovery (2024) Vol. 3, Iss. 9, pp. 1776-1792
Open Access
Victor Hugo Cano Gil, Christopher N. Rowley
Digital Discovery (2024) Vol. 3, Iss. 9, pp. 1776-1792
Open Access
Using interpretable machine learning techniques to analyze the thermal decomposition behavior of high-energy compounds for dataset partitioning
Chaoyi Huang, Chunming Yang, Yingjie He
(2024), pp. 155-160
Closed Access
Chaoyi Huang, Chunming Yang, Yingjie He
(2024), pp. 155-160
Closed Access
Quantitative structure permeability relationships for phenolic compounds applied to human epidermal membranes in various solvents
Michael S. Roberts, Qian Zhang, Lorraine Mackenzie, et al.
European Journal of Pharmaceutical Sciences (2024), pp. 106914-106914
Open Access
Michael S. Roberts, Qian Zhang, Lorraine Mackenzie, et al.
European Journal of Pharmaceutical Sciences (2024), pp. 106914-106914
Open Access
Integrating Data Mining and Natural Language Processing to Construct a Melting Point Database for Organometallic Compounds
Jinyoung Jeong, Taehyun Park, Junho Song, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access
Jinyoung Jeong, Taehyun Park, Junho Song, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access
Graph Neural Networks for Identifying Protein-Reactive Compounds
Victor Hugo Cano Gil, Christopher N. Rowley
(2023)
Open Access | Times Cited: 1
Victor Hugo Cano Gil, Christopher N. Rowley
(2023)
Open Access | Times Cited: 1
A Universal Validation Method for Mitigating Machine Learning Extrapolation Risk
Fangyou Yan, Mengxian Yu, Yin‐Ning Zhou, et al.
Research Square (Research Square) (2023)
Open Access
Fangyou Yan, Mengxian Yu, Yin‐Ning Zhou, et al.
Research Square (Research Square) (2023)
Open Access
