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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:

Improvement of Prediction Performance With Conjoint Molecular Fingerprint in Deep Learning
Liangxu Xie, Lei Xu, Ren Kong, et al.
Frontiers in Pharmacology (2020) Vol. 11
Open Access | Times Cited: 49

Showing 26-50 of 49 citing articles:

Optimizing machine-learning models for mutagenicity prediction through better feature selection
Nicolas K. Shinada, Naoki Koyama, Megumi Ikemori, et al.
Mutagenesis (2022) Vol. 37, Iss. 3-4, pp. 191-202
Closed Access | Times Cited: 9
Prioritizing virtual screening with interpretable interaction fingerprints
Alexandre Victor Fassio, Laura Shub, Luca Ponzoni, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 9
AIGO-DTI: Predicting Drug–Target Interactions Based on Improved Drug Properties Combined with Adaptive Iterative Algorithms
Sizhe Zhang, Xuecong Tian, Chen Chen, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 10, pp. 4373-4384
Closed Access | Times Cited: 1
Molecular sharing and molecular-specific representations for multimodal molecular property prediction
Xuecong Tian, Sizhe Zhang, Ying Su, et al.
Applied Soft Computing (2024) Vol. 163, pp. 111898-111898
Closed Access | Times Cited: 1
Computational Insights into Reproductive Toxicity: Clustering, Mechanism Analysis, and Predictive Models
Huizi Cui, Qizheng He, Wannan Li, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 14, pp. 7978-7978
Open 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
Scikit-fingerprints: Easy and efficient computation of molecular fingerprints in Python
Jakub Adamczyk, Piotr Ludynia
SoftwareX (2024) Vol. 28, pp. 101944-101944
Open Access | Times Cited: 1
Discovery and Design of Radiopharmaceuticals by In silico Methods
David A. Winkler, Maryam Salahinejad, Fereshteh Shiri
Current Radiopharmaceuticals (2022) Vol. 15, Iss. 4, pp. 271-319
Closed Access | Times Cited: 8
Deep Convolutional Neural Network for Nasopharyngeal Carcinoma Discrimination on MRI by Comparison of Hierarchical and Simple Layered Convolutional Neural Networks
Li Ji, Rongzhi Mao, Jian Wu, et al.
Diagnostics (2022) Vol. 12, Iss. 10, pp. 2478-2478
Open Access | Times Cited: 8
Neural networks prediction of the protein-ligand binding affinity with circular fingerprints
Zuode Yin, Wei Song, Baiyi Li, et al.
Technology and Health Care (2023) Vol. 31, pp. 487-495
Open Access | Times Cited: 4
Masked Molecule Modeling: A New Paradigm of Molecular Representation Learning for Chemistry Understanding
Jiyan He, Keyu Tian, Shengjie Luo, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 6
Explaining structure-activity relationships using locally faithful surrogate models
Heta A. Gandhi, Andrew Dickson White
(2022)
Open Access | Times Cited: 5
How do we further enhance 2D fingerprint similarity searching for novel drug discovery?
Ingo Muegge, Yuan Hu
Expert Opinion on Drug Discovery (2022) Vol. 17, Iss. 11, pp. 1173-1176
Closed Access | Times Cited: 5
Towards the Prediction of Drug Solubility in Binary Solvent Mixtures at Various Temperatures Using Machine Learning
Zeqing Bao, Gary Tom, Austin Cheng, et al.
Research Square (Research Square) (2024)
Open Access
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
Explainable machine learning assisted design of tailor-made fuels using conjoint fingerprints
Yong Chen, Zhiyuan Lu, Zhifeng Yao, et al.
Energy Conversion and Management (2024) Vol. 322, pp. 119118-119118
Closed Access
Data-Quality-Navigated Machine Learning Strategy with Chemical Intuition to Improve Generalization
Songran Yang, Ming Sun, Chaojie Shi, et al.
Journal of Chemical Theory and Computation (2024)
Closed Access
Why does that molecule smell?
Aditi Seshadri, Heta A. Gandhi, Geemi P. Wellawatte, et al.
(2022)
Open Access | Times Cited: 3
Emerging Machine Learning Techniques in Predicting Adverse Drug Reactions
Yi Zhong, Shanshan Wang, Gaozheng Li, et al.
Computational methods in engineering & the sciences (2023), pp. 53-82
Closed Access | Times Cited: 1
Decision tree‐based identification of important molecular fragments for protein‐ligand binding
Baiyi Li, Yunsong Wang, Zuode Yin, et al.
Chemical Biology & Drug Design (2023) Vol. 103, Iss. 1
Closed Access | Times Cited: 1
Sustainable Features of Centrifugal Partition Chromatography
Gergő Dargó, Árpád Könczöl
(2022), pp. 261-295
Closed Access | Times Cited: 1
Explaining structure-activity relationships using locally faithful surrogate models
Heta A. Gandhi, Andrew Dickson White
(2022)
Open Access | Times Cited: 1
MIFNN: Molecular Information Feature Extraction and Fusion Deep Neural Network for Screening Potential Drugs
Jingjing Wang, Hongzhen Li, Wenhan Zhao, et al.
Current Issues in Molecular Biology (2022) Vol. 44, Iss. 11, pp. 5638-5654
Open Access | Times Cited: 1
Predicting Drug Compounds Effectiveness Based on Chemical Properties and Bioactivity Data
Hamza Hanafi, Badr Dine Rossi Hassani, M. Aït Kbir
Lecture notes in networks and systems (2023), pp. 318-326
Closed Access
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