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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:

Prediction of drug-target interaction based on protein features using undersampling and feature selection techniques with boosting
Saifuddin Mahmud, Wenyu Chen, Meng Han, et al.
Analytical Biochemistry (2019) Vol. 589, pp. 113507-113507
Closed Access | Times Cited: 71

Showing 26-50 of 71 citing articles:

UnbiasedDTI: Mitigating Real-World Bias of Drug-Target Interaction Prediction by Using Deep Ensemble-Balanced Learning
Aida Tayebi, Niloofar Yousefi, Mehdi Yazdani-Jahromi, et al.
Molecules (2022) Vol. 27, Iss. 9, pp. 2980-2980
Open Access | Times Cited: 13
Bioinformatics and network biology approach to identifying type 2 diabetes genes and pathways that influence the progression of breast cancer
Md Sumon Sarkar, Md Misor Mia, Md Al Amin, et al.
Heliyon (2023) Vol. 9, Iss. 5, pp. e16151-e16151
Open Access | Times Cited: 7
A hub gene signature as a therapeutic target and biomarker for sepsis and geriatric sepsis-induced ARDS concomitant with COVID-19 infection
Guojun Qian, Hongwei Fang, Anning Chen, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 7
The Discovery of New Drug-Target Interactions for Breast Cancer Treatment
Jiali Song, Zhenyi Xu, Lei Cao, et al.
Molecules (2021) Vol. 26, Iss. 24, pp. 7474-7474
Open Access | Times Cited: 16
Exploration of the link between COVID‐19 and alcoholic hepatitis from the perspective of bioinformatics and systems biology
Tengda Huang, Bingxuan Yu, Xinyi Zhou, et al.
MedComm – Future Medicine (2023) Vol. 2, Iss. 2
Open Access | Times Cited: 6
DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins
Md. Faruk Hosen, Saifuddin Mahmud, Kawsar Ahmed, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105433-105433
Closed Access | Times Cited: 9
A comparative analysis of Drug-Target Interaction detection approaches using Ensemble of Machine learning models
Simrin Baruah, Debashree Devi
(2024), pp. 21-29
Closed Access | Times Cited: 1
A prediction method of interaction based on Bilinear Attention Networks for designing polyphenol-protein complexes delivery systems
Zhipeng Wang, Baolong Feng, Qizhou Gao, et al.
International Journal of Biological Macromolecules (2024) Vol. 269, pp. 131959-131959
Closed Access | Times Cited: 1
Artificial Intelligence in Drug Identification and Validation: A Scoping Review
Mukhtar Lawal Abubakar, Neha Kapoor, Asha Sharma, et al.
Drug Research (2024) Vol. 74, Iss. 05, pp. 208-219
Closed Access | Times Cited: 1
Bioinformatics and systems-biology analysis to determine the effects of Coronavirus disease 2019 on patients with allergic asthma
Hongwei Fang, Zhun Sun, Zhouyi Chen, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 7
Network-Based Data Analysis Reveals Ion Channel-Related Gene Features in COVID-19: A Bioinformatic Approach
Hao Zhang, Ting Feng
Biochemical Genetics (2022) Vol. 61, Iss. 2, pp. 471-505
Open Access | Times Cited: 6
Deep Learning Enables Rapid Identification of Mycotoxin-Degrading Enzymes
Dachuan Zhang, Huadong Xing, Dongliang Liu, et al.
(2023)
Open Access | Times Cited: 3
TeM-DTBA: time-efficient drug target binding affinity prediction using multiple modalities with Lasso feature selection
Tanya Liyaqat, Tanvir Ahmad, Chandni Saxena
Journal of Computer-Aided Molecular Design (2023) Vol. 37, Iss. 12, pp. 573-584
Closed Access | Times Cited: 3
Dimensionality reduction based multi-kernel framework for drug-target interaction prediction
Saifuddin Mahmud, Wenyu Chen, Hosney Jahan, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 212, pp. 104270-104270
Open Access | Times Cited: 8
Drug–target interaction prediction via multiple classification strategies
Qing Ye, Xiaolong Zhang, Xiaoli Lin
BMC Bioinformatics (2021) Vol. 22, Iss. S12
Open Access | Times Cited: 8
Identifying the Effect of COVID-19 Infection in Multiple Myeloma and Diffuse Large B-Cell Lymphoma Patients Using Bioinformatics and System Biology
Chengcheng Li, Ying Zhang, Yingying Xiao, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 5
Ensemble Learning Prediction of Drug-Target Interactions Using GIST Descriptor Extracted from PSSM-Based Evolutionary Information
Xinke Zhan, Zhu‐Hong You, Chang-Qing Yu, et al.
BioMed Research International (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 6
A novel risk model based on the correlation between the expression of basement membrane genes and immune infiltration to predict the invasiveness of pituitary adenomas
Zheng Chen, Xin Sun, Yin Kang, et al.
Frontiers in Endocrinology (2023) Vol. 13
Open Access | Times Cited: 2
An exploratory analysis of data noisy scenarios in a Pareto-front based dynamic feature selection method
Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo
Applied Soft Computing (2020) Vol. 100, pp. 106951-106951
Closed Access | Times Cited: 5
Exploring potential ferroptosis biomarkers and immune infiltration features in rheumatoid arthritis through bioinformatics analysis
Wenkang You, Xiaohong Chen, Zhiyin Du, et al.
Authorea (Authorea) (2024)
Open Access
Exploration of a Predictive Model for Keloid and Potential Therapeutic Drugs Based on Immune Infiltration and Cuproptosis-Related Genes
J. Liu, Hu Ding, Yaojun Wang, et al.
Journal of Burn Care & Research (2024) Vol. 45, Iss. 5, pp. 1217-1231
Closed Access
Multi source deep learning method for drug-protein interaction prediction using k-mers and chaos game representation
Hengame Abbasi Mesrabadi, Karim Faez, Jamshid Pirgazi
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 246, pp. 105065-105065
Closed Access
Exploration of the link between COVID-19 and gastric cancer from the perspective of bioinformatics and systems biology
Xiao Ma, Tengda Huang, Xiaoquan Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Deciphering the molecular nexus between Omicron infection and acute kidney injury: a bioinformatics approach
Li Wang, Anning Chen, Lantian Zhang, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access
Efficient Prediction Adverse Drug-Drug Interactions with Deep Neural Networks
Rania Ahmed Abdel Azeem Abul Seoud, Ashraf Darwish, Aboul Ella Hassanien
Studies in systems, decision and control (2024), pp. 183-199
Closed Access

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