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:

Improved Prediction Model of Protein Lysine Crotonylation Sites Using Bidirectional Recurrent Neural Networks
Sian Soo Tng, Nguyen Quoc Khanh Le, Hui‐Yuan Yeh, et al.
Journal of Proteome Research (2021) Vol. 21, Iss. 1, pp. 265-273
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Deep Learning for Medical Image-Based Cancer Diagnosis
Xiaoyan Jiang, Zuojin Hu, Shuihua Wang‎, et al.
Cancers (2023) Vol. 15, Iss. 14, pp. 3608-3608
Open Access | Times Cited: 103

Identifying SNARE Proteins Using an Alignment-Free Method Based on Multiscan Convolutional Neural Network and PSSM Profiles
Quang-Hien Kha, Quang‐Thai Ho, Nguyen Quoc Khanh Le
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 19, pp. 4820-4826
Open Access | Times Cited: 70

Improved prediction of drug-drug interactions using ensemble deep neural networks
Thanh Hoa Vo, Ngan Nguyen, Nguyen Quoc Khanh Le
Medicine in Drug Discovery (2022) Vol. 17, pp. 100149-100149
Open Access | Times Cited: 37

Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and environment in livestock farming
Zixin Peng, Alexandre Maciel-Guerra, Michelle Baker, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 3, pp. e1010018-e1010018
Open Access | Times Cited: 31

Predicting in-hospital outcomes of patients with acute kidney injury
Changwei W. Wu, Yun Zhang, Sheng Nie, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 18

Artificial Intelligence and Circulating Cell-Free DNA Methylation Profiling: Mechanism and Detection of Alzheimer’s Disease
Ray Bahado‐Singh, Uppala Radhakrishna, Juozas Gordevičius, et al.
Cells (2022) Vol. 11, Iss. 11, pp. 1744-1744
Open Access | Times Cited: 23

Recognition of mRNA N4 Acetylcytidine (ac4C) by Using Non-Deep vs. Deep Learning
Muhammad Shahid Iqbal, Rashid Abbasi, Md Belal Bin Heyat, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1344-1344
Open Access | Times Cited: 22

Siamese Convolutional Neural Network for Heartbeat Classification Using Limited 12-Lead ECG Datasets
Muriel Vasconcellos, Bruno Ferreira, Jorge S. Leandro, et al.
IEEE Access (2023) Vol. 11, pp. 5365-5376
Open Access | Times Cited: 15

RMTLysPTM: recognizing multiple types of lysine PTM sites by deep analysis on sequences
Lei Chen, Yuwei Chen
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 13

Improved BIGRU Model and Its Application in Stock Price Forecasting
Yuanshuai Duan, Yuanxin Liu, Yi Wang, et al.
Electronics (2023) Vol. 12, Iss. 12, pp. 2718-2718
Open Access | Times Cited: 11

Deep 3D Neural Network for Brain Structures Segmentation Using Self-Attention Modules in MRI Images
Camilo Laiton-Bonadiez, Germán Sánchez Torres, John W. Branch
Sensors (2022) Vol. 22, Iss. 7, pp. 2559-2559
Open Access | Times Cited: 17

Driving Fatigue Detection with Three Non-Hair-Bearing EEG Channels and Modified Transformer Model
Jie Wang, Yanting Xu, Jinghong Tian, et al.
Entropy (2022) Vol. 24, Iss. 12, pp. 1715-1715
Open Access | Times Cited: 14

scGMAAE: Gaussian mixture adversarial autoencoders for diversification analysis of scRNA-seq data
Haiyun Wang, Jianping Zhao, Chun-Hou Zheng, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 8

Drug resistance prediction and resistance genes identification in Mycobacterium tuberculosis based on a hierarchical attentive neural network utilizing genome-wide variants
Zhonghua Jiang, Yongmei Lu, Zhuochong Liu, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 13

DeepGpgs: a novel deep learning framework for predicting arginine methylation sites combined with Gaussian prior and gated self-attention mechanism
Haiwei Zhou, Wenxi Tan, Shaoping Shi
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 7

DeepKlapred: A deep learning framework for identifying protein lysine lactylation sites via multi-view feature fusion
Jiahui Guan, Peilin Xie, Danhong Dong, et al.
International Journal of Biological Macromolecules (2024), pp. 137668-137668
Closed Access | Times Cited: 2

MaskDNA-PGD: An innovative deep learning model for detecting DNA methylation by integrating mask sequences and adversarial PGD training as a data augmentation method
Zhiwei Zheng, Nguyen Quoc Khanh Le, Matthew Chin Heng Chua
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 232, pp. 104715-104715
Closed Access | Times Cited: 11

layerUMAP: A tool for visualizing and understanding deep learning models in biological sequence classification using UMAP
Runyu Jing, Li C. Xue, Menglong Li, et al.
iScience (2022) Vol. 25, Iss. 12, pp. 105530-105530
Open Access | Times Cited: 10

Cuproptosis-Related LncRNA Signature for Predicting Prognosis of Hepatocellular Carcinoma: A Comprehensive Analysis
Qiqi Chen, Tong Sun, Guorong Wang, et al.
Disease Markers (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 10

Prediction of Recurrent Mutations in SARS-CoV-2 Using Artificial Neural Networks
Bryan Saldivar‐Espinoza, Guillem Macip, Pol Garcia‐Segura, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 23, pp. 14683-14683
Open Access | Times Cited: 10

An Improved Hybrid Transfer Learning-Based Deep Learning Model for PM2.5 Concentration Prediction
Jianjun Ni, Yan Chen, Yu Gu, et al.
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3597-3597
Open Access | Times Cited: 9

Using the Term Frequency-Inverse Document Frequency for the Problem of Identifying Shrimp Diseases with State Description Text
Luyl-Da Quach, Anh Nguyen Quynh, Khang Nguyen Quoc, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 5
Open Access | Times Cited: 5

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