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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:

Identification of Drug–Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion
Yijie Ding, Jijun Tang, Fei Guo
Knowledge-Based Systems (2020) Vol. 204, pp. 106254-106254
Closed Access | Times Cited: 132

Showing 1-25 of 132 citing articles:

SBSM-Pro: support bio-sequence machine for proteins
Yizheng Wang, Yixiao Zhai, Yijie Ding, et al.
Science China Information Sciences (2024) Vol. 67, Iss. 11
Closed Access | Times Cited: 118
AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism
Hongjie Wu, Junkai Liu, Tengsheng Jiang, et al.
Neural Networks (2023) Vol. 169, pp. 623-636
Open Access | Times Cited: 58
AI for targeted polypharmacology: The next frontier in drug discovery
Anna Cichońska, Balaguru Ravikumar, Rayees Rahman
Current Opinion in Structural Biology (2024) Vol. 84, pp. 102771-102771
Closed Access | Times Cited: 26
DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network
Cheng Chen, Shi Han, Zhiwen Jiang, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104676-104676
Open Access | Times Cited: 76
CRBPDL: Identification of circRNA-RBP interaction sites using an ensemble neural network approach
Mengting Niu, Quan Zou, Chen Lin
PLoS Computational Biology (2022) Vol. 18, Iss. 1, pp. e1009798-e1009798
Open Access | Times Cited: 46
Associative learning mechanism for drug‐target interaction prediction
Zhiqin Zhu, Yao Zheng, Guanqiu Qi, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 4, pp. 1558-1577
Open Access | Times Cited: 32
A review of deep learning methods for ligand based drug virtual screening
Hongjie Wu, Junkai Liu, Runhua Zhang, et al.
Fundamental Research (2024) Vol. 4, Iss. 4, pp. 715-737
Open Access | Times Cited: 15
AGF-PPIS: A protein–protein interaction site predictor based on an attention mechanism and graph convolutional networks
Xiuhao Fu, Ye Yuan, Haoye Qiu, et al.
Methods (2024) Vol. 222, pp. 142-151
Closed Access | Times Cited: 11
Application of Machine Learning for Drug–Target Interaction Prediction
Lei Xu, Xiaoqing Ru, Rong Song
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 50
NmRF: identification of multispecies RNA 2’-O-methylation modification sites from RNA sequences
Chunyan Ao, Quan Zou, Liang Yu
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 46
Identify RNA-associated subcellular localizations based on multi-label learning using Chou’s 5-steps rule
Hao Wang, Yijie Ding, Jijun Tang, et al.
BMC Genomics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 45
RFhy-m2G: Identification of RNA N2-methylguanosine modification sites based on random forest and hybrid features
Chunyan Ao, Quan Zou, Liang Yu
Methods (2021) Vol. 203, pp. 32-39
Closed Access | Times Cited: 43
AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug–disease associations prediction
Junkai Liu, Shixuan Guan, Quan Zou, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111329-111329
Open Access | Times Cited: 22
SpineNet-6mA: A Novel Deep Learning Tool for Predicting DNA N6-Methyladenine Sites in Genomes
Zeeshan Abbas, Hilal Tayara, Kil To Chong
IEEE Access (2020) Vol. 8, pp. 201450-201457
Open Access | Times Cited: 41
iTTCA-RF: a random forest predictor for tumor T cell antigens
Shihu Jiao, Quan Zou, Huannan Guo, et al.
Journal of Translational Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 41
Drug–disease associations prediction via Multiple Kernel-based Dual Graph Regularized Least Squares
Hongpeng Yang, Yijie Ding, Jijun Tang, et al.
Applied Soft Computing (2021) Vol. 112, pp. 107811-107811
Closed Access | Times Cited: 35
Inferring human microbe–drug associations via multiple kernel fusion on graph neural network
Hongpeng Yang, Yijie Ding, Jijun Tang, et al.
Knowledge-Based Systems (2021) Vol. 238, pp. 107888-107888
Closed Access | Times Cited: 35
Review of unsupervised pretraining strategies for molecules representation
Linhui Yu, Yansen Su, Yuansheng Liu, et al.
Briefings in Functional Genomics (2021) Vol. 20, Iss. 5, pp. 323-332
Closed Access | Times Cited: 33
Identifying drug–target interactions via heterogeneous graph attention networks combined with cross-modal similarities
Lu Jiang, Jiahao Sun, Yue Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 28
Identify DNA-Binding Proteins Through the Extreme Gradient Boosting Algorithm
Ziye Zhao, Wen Yang, Yixiao Zhai, et al.
Frontiers in Genetics (2022) Vol. 12
Open Access | Times Cited: 26
Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization
Yijie Ding, Prayag Tiwari, Fei Guo, et al.
Neural Networks (2022) Vol. 156, pp. 170-178
Open Access | Times Cited: 26
dPromoter-XGBoost: Detecting promoters and strength by combining multiple descriptors and feature selection using XGBoost
Hongfei Li, Lei Shi, Wentao Gao, et al.
Methods (2022) Vol. 204, pp. 215-222
Open Access | Times Cited: 24
MLapSVM-LBS: Predicting DNA-binding proteins via a multiple Laplacian regularized support vector machine with local behavior similarity
Mengwei Sun, Prayag Tiwari, Yuqin Qian, et al.
Knowledge-Based Systems (2022) Vol. 250, pp. 109174-109174
Open Access | Times Cited: 23
iPro-TCN: Prediction of DNA Promoters Recognition and Their Strength Using Temporal Convolutional Network
Ali Raza, Waleed Alam, Shahzad Khan, et al.
IEEE Access (2023) Vol. 11, pp. 66113-66121
Open Access | Times Cited: 14
Sparse graph cascade multi-kernel fusion contrastive learning for microbe–disease association prediction
Shengpeng Yu, Hong Wang, Meifang Hua, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124092-124092
Closed Access | Times Cited: 6
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