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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 1-25 of 49 citing articles:

Deep learning methods for molecular representation and property prediction
Zhen Li, Mingjian Jiang, Shuang Wang, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 12, pp. 103373-103373
Closed Access | Times Cited: 120
Comprehensive Survey of Recent Drug Discovery Using Deep Learning
Jintae Kim, Sera Park, Dongbo Min, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 18, pp. 9983-9983
Open Access | Times Cited: 96
Concepts and applications of chemical fingerprint for hit and lead screening
Jingbo Yang, Yiyang Cai, Kairui Zhao, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 11, pp. 103356-103356
Closed Access | Times Cited: 61
Novel Solubility Prediction Models: Molecular Fingerprints and Physicochemical Features vs Graph Convolutional Neural Networks
Sumin Lee, Myeonghun Lee, Ki-Won Gyak, et al.
ACS Omega (2022) Vol. 7, Iss. 14, pp. 12268-12277
Open Access | Times Cited: 45
Quantitative evaluation of explainable graph neural networks for molecular property prediction
Jiahua Rao, Shuangjia Zheng, Yutong Lu, et al.
Patterns (2022) Vol. 3, Iss. 12, pp. 100628-100628
Open Access | Times Cited: 45
IDSL_MINT: a deep learning framework to predict molecular fingerprints from mass spectra
‪Sadjad Fakouri Baygi‬, Dinesh Kumar Barupal
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 7
Multimodal fused deep learning for drug property prediction: Integrating chemical language and molecular graph
Xiaohua Lu, Liangxu Xie, Lei Xu, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1666-1679
Open Access | Times Cited: 7
Prioritizing Virtual Screening with Interpretable Interaction Fingerprints
Alexandre Victor Fassio, Laura Shub, Luca Ponzoni, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 18, pp. 4300-4318
Open Access | Times Cited: 28
Dual inhibition of AChE and MAO-B in Alzheimer’s disease: machine learning approaches and model interpretations
Qinghe Hou, Yan Li
Molecular Diversity (2025)
Open Access
Accelerating Ionic Liquid Research in Perovskite Solar Cells through Machine Learning:Opportunities and Challenges
Jiazheng Wang, Qiang Lou, Zhengjie Xu, et al.
Materials Today Electronics (2025), pp. 100143-100143
Open Access
Ensemble modeling with machine learning and deep learning to provide interpretable generalized rules for classifying CNS drugs with high prediction power
Tzu-Hui Yu, Bo‐Han Su, Leo Chander Battalora, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 38
ADMET Predictability at Boehringer Ingelheim: State‐of‐the‐Art, and Do Bigger Datasets or Algorithms Make a Difference?
Stevan Aleksić, Daniel Seeliger, J. Brown
Molecular Informatics (2021) Vol. 41, Iss. 2
Closed Access | Times Cited: 34
cardioToxCSM: A Web Server for Predicting Cardiotoxicity of Small Molecules
Saba Iftkhar, Alex G. C. de Sá, João Paulo Linhares Velloso, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 20, pp. 4827-4836
Closed Access | Times Cited: 24
Explaining molecular properties with natural language
Heta A. Gandhi, Andrew Dickson White
(2022)
Open Access | Times Cited: 21
Machine learning to empower electrohydrodynamic processing
Fanjin Wang, Moe Elbadawi, Scheilly Liu Tsilova, et al.
Materials Science and Engineering C (2021) Vol. 132, pp. 112553-112553
Open Access | Times Cited: 25
Molecular substructure tree generative model for de novo drug design
Shuang Wang, Tao Song, Shugang Zhang, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Closed Access | Times Cited: 20
Prediction of KRASG12C inhibitors using conjoint fingerprint and machine learning-based QSAR models
Tarapong Srisongkram, Patcharapa Khamtang, Natthida Weerapreeyakul
Journal of Molecular Graphics and Modelling (2023) Vol. 122, pp. 108466-108466
Closed Access | Times Cited: 8
A consensual machine-learning-assisted QSAR model for effective bioactivity prediction of xanthine oxidase inhibitors using molecular fingerprints
Yanling Wu, Menglong Li, Jinru Shen, et al.
Molecular Diversity (2023) Vol. 28, Iss. 4, pp. 2033-2048
Closed Access | Times Cited: 8
Deep Learning Based Methods for Molecular Similarity Searching: A Systematic Review
Maged Nasser, Umi Kalsom Yusof, Naomie Salim
Processes (2023) Vol. 11, Iss. 5, pp. 1340-1340
Open Access | Times Cited: 8
Mix-Key: graph mixup with key structures for molecular property prediction
Tianyi Jiang, Zeyu Wang, Wenchao Yu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 2
Enhanced fingerprint classification through modified PCA with SVD and invariant moments
Ala Balti, Abdelaziz Hamdi, Sabeur Abid, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 2
Evaluating the Use of Graph Neural Networks and Transfer Learning for Oral Bioavailability Prediction
Sherwin S. S. Ng, Yunpeng Lu
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 16, pp. 5035-5044
Open Access | Times Cited: 7
Self-supervised learning with chemistry-aware fragmentation for effective molecular property prediction
Ailin Xie, Ziqiao Zhang, Jihong Guan, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 7
Fragment-based structural exploration and chemico-biological interaction study of HDAC3 inhibitors through non-linear pattern recognition, chemical space, and binding mode of interaction analysis
Suvankar Banerjee, Shraddha Dumawat, Tarun Jha, et al.
Journal of Biomolecular Structure and Dynamics (2023), pp. 1-23
Closed Access | Times Cited: 6
Predict the Polarizability and Order of Magnitude of Second Hyperpolarizability of Molecules by Machine Learning
Guoxiang Zhao, Weiyin Yan, Zirui Wang, et al.
The Journal of Physical Chemistry A (2023) Vol. 127, Iss. 29, pp. 6109-6115
Closed Access | Times Cited: 5
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