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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:

Integrative analysis of chemical properties and functions of drugs for adverse drug reaction prediction based on multi-label deep neural network
Pranab Jyoti Das, Yogita Thakran, Vipin Pal
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (2022) Vol. 19, Iss. 3
Open Access | Times Cited: 10

Showing 10 citing articles:

A Novel Neural Network-based Nearest Neighbor Approach for Drug Function Prediction from Chemical Structures
Pranab Jyoti Das, Dilwar Hussain Mazumder
European Journal of Pharmacology (2025), pp. 177360-177360
Closed Access
An extensive survey on the use of supervised machine learning techniques in the past two decades for prediction of drug side effects
Pranab Jyoti Das, Dilwar Hussain Mazumder
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 9809-9836
Open Access | Times Cited: 12
Inceptionv3‐LSTM‐COV: A multi‐label framework for identifying adverse reactions to COVID medicine from chemical conformers based on Inceptionv3 and long short‐term memory
Pranab Jyoti Das, Dilwar Hussain Mazumder
ETRI Journal (2024)
Open Access | Times Cited: 3
MLCNN‐COV: A multilabel convolutional neural network‐based framework to identify negative COVID medicine responses from the chemical three‐dimensional conformer
Pranab Jyoti Das, Dilwar Hussain Mazumder
ETRI Journal (2023) Vol. 46, Iss. 2, pp. 290-306
Open Access | Times Cited: 8
Identify Unfavorable COVID Medicine Reactions from the Three-Dimensional Structure by Employing Convolutional Neural Network
Pranab Jyoti Das, Dilwar Hussain Mazumder
Springer optimization and its applications (2023), pp. 155-167
Closed Access | Times Cited: 6
K1K2NN: A Novel Multi-Label Classification Approach Based on Neighbors for Predicting COVID-19 Drug Side Effects
Pranab Jyoti Das, Dilwar Hussain Mazumder
Computational Biology and Chemistry (2024) Vol. 110, pp. 108066-108066
Closed Access | Times Cited: 1
Advances in Predicting Drug Functions: A Decade-Long Survey in Drug Discovery Research
Pranab Jyoti Das, Dilwar Hussain Mazumder
IEEE Transactions on Molecular Biological and Multi-Scale Communications (2023) Vol. 10, Iss. 1, pp. 75-91
Closed Access | Times Cited: 2
MLCNN-CDSE: A Multi-Label Convolutional Neural Network Model for Predicting COVID Drug Side Effects from Images of Stick Structure-Based Chemical Conformers
Pranab Jyoti Das, Dilwar Hussain Mazumder
(2023), pp. 1-7
Closed Access | Times Cited: 2
An Extensive Survey on the Use of Supervised Machine Learning Techniques in the Past Two Decades for Prediction of Drug Side Effects
Pranab Jyoti Das, Dilwar Hussain Mazumder
Research Square (Research Square) (2022)
Open Access | Times Cited: 4
Predicting Drug Functions from Gene Ontology, Amino Acid Sequences, and Drug-Disease Associations through Multi-label Machine Learning with MLSMOTE
Pranab Jyoti Das, Dilwar Hussain Mazumder
(2023), pp. 1-7
Closed Access | Times Cited: 1
Analysis and Prediction of Economic Industrial Structure by BP Neural Network Based on Genetic Algorithm
Yajun Yang
(2023) Vol. 13, pp. 1-6
Closed Access
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