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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:

CFSBoost: Cumulative feature subspace boosting for drug-target interaction prediction
Farshid Rayhan, Sajid Ahmed, Dewan Md. Farid, et al.
Journal of Theoretical Biology (2018) Vol. 464, pp. 1-8
Closed Access | Times Cited: 24

Showing 24 citing articles:

DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features
Yanyi Chu, Aman Chandra Kaushik, Xiangeng Wang, et al.
Briefings in Bioinformatics (2019) Vol. 22, Iss. 1, pp. 451-462
Closed Access | Times Cited: 180
Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities
Maha A. Thafar, Arwa Bin Raies, Somayah Albaradei, et al.
Frontiers in Chemistry (2019) Vol. 7
Open Access | Times Cited: 124
FRnet-DTI: Deep convolutional neural network for drug-target interaction prediction
Farshid Rayhan, Sajid Ahmed, Zaynab Mousavian, et al.
Heliyon (2020) Vol. 6, Iss. 3, pp. e03444-e03444
Open Access | Times Cited: 52
DeepFusionDTA: Drug-Target Binding Affinity Prediction With Information Fusion and Hybrid Deep-Learning Ensemble Model
Yuqian Pu, Jiawei Li, Jijun Tang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 5, pp. 2760-2769
Closed Access | Times Cited: 36
Multi-task learning models for predicting active compounds
Zhili Zhao, Jian Qin, Zhuoyue Gou, et al.
Journal of Biomedical Informatics (2020) Vol. 108, pp. 103484-103484
Open Access | Times Cited: 24
Drug-Target Interaction Prediction via Graph Auto-Encoder and Multi-Subspace Deep Neural Networks
Qing Ye, Xiaolong Zhang, Xiaoli Lin
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 5, pp. 2647-2658
Closed Access | Times Cited: 13
Accurate prediction of RNA 5-hydroxymethylcytosine modification by utilizing novel position-specific gapped k-mer descriptors
Sajid Ahmed, Hossain Md. Zahid, Mahtab Uddin, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 3528-3538
Open Access | Times Cited: 15
New boosting approaches for improving cluster-based undersampling in problems with imbalanced data
Abdullah All Tanvir, Iftakhar Ali Khandokar, Swakkhar Shatabda
Decision Analytics Journal (2023) Vol. 8, pp. 100316-100316
Open Access | Times Cited: 5
An Under-Sampling Method with Support Vectors in Multi-class Imbalanced Data Classification
Md. Yasir Arafat, Sabera Hoque, Shuxiang Xu, et al.
(2019), pp. 1-6
Closed Access | Times Cited: 14
Research Progress on Drug-Target Interactions in the Last Five Years
Yun Zuo, Xiaoting Wu, Fei Ge, et al.
Analytical Biochemistry (2024), pp. 115691-115691
Closed Access | Times Cited: 1
FRnet-DTI: Deep Convolutional Neural Networks with Evolutionary and Structural Features for Drug-Target Interaction
Farshid Rayhan, Sajid Ahmed, Zaynab Mousavian, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 14
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
Computational Drug-target Interaction Prediction based on Graph Embedding and Graph Mining
Maha A. Thafar, Somayah Albaradie, Rawan S. Olayan, et al.
(2020) Vol. 7, pp. 14-21
Open Access | Times Cited: 10
Predicting Drug-Target Interactions Using Weisfeiler-Lehman Neural Network
Hafez Eslami Manoochehri, Susmitha Sri Kadiyala, Mehrdad Nourani
(2019) Vol. 12, pp. 1-4
Closed Access | Times Cited: 9
Binding affinity prediction for binary drug–target interactions using semi-supervised transfer learning
Betsabeh Tanoori, Mansoor Zolghadri Jahromi, Eghbal G. Mansoori
Journal of Computer-Aided Molecular Design (2021) Vol. 35, Iss. 8, pp. 883-900
Closed 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
iCDI-W2vCom: Identifying the Ion Channel–Drug Interaction in Cellular Networking Based on word2vec and node2vec
Jie Zheng, Xuan Xiao, Wang‐Ren Qiu
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 6
Drug-Target Interaction Prediction Based on Knowledge Graph and Convolutional Neural Network Integrated with CBAM Module
Zhongyu He
Lecture notes in computer science (2023), pp. 653-665
Closed Access | Times Cited: 2
Advanced Data Balancing Method with SVM Decision Boundary and Bagging
Md. Yasir Arafat, Sabera Hoque, Shuxiang Xu, et al.
2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) (2019), pp. 1-7
Closed Access | Times Cited: 5
Combining Network-based and Matrix Factorization to Predict Novel Drug-target Interactions: A Case Study Using the Brazilian Natural Chemical Database
Ronald Sodré Martins, Marcelo Ferreira da Costa Gomes, Ernesto R. Caffarena
Current Bioinformatics (2022) Vol. 17, Iss. 9, pp. 793-803
Closed Access | Times Cited: 3
An Empirical Study to Analyse The Effect of Bagging and Feature Subspacing on The Performance of A Custom Ensemble Algorithm for Predicting Drug Protein Interactions
Harshita Bhargava, Amita Sharma, Prashanth Suravajhala
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 10, pp. 911-916
Open Access
Chemogenomic Approaches for Revealing Drug Target Interactions in Drug Discovery
Harshita Bhargava, Amita Sharma, Prashanth Suravajhala
Current Genomics (2021) Vol. 22, Iss. 5, pp. 328-338
Open Access | Times Cited: 3
Investigating the Use of Ensemble Learning for Drug Target Affinity Model
Alif Tri Handoyo, Henry Lucky, Pandu Wicaksono, et al.
(2022)
Closed Access
Prediction of Drug-Target Interactions Using Molecular Graph and GDNet-DTI Model
Shuai Xu, Xiaoli Lin, Haiping Yu
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021), pp. 3747-3754
Closed Access
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