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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:

A Convolutional Neural Network Using Dinucleotide One-hot Encoder for identifying DNA N6-Methyladenine Sites in the Rice Genome
Zhibin Lv, Hui Ding, Lei Wang, et al.
Neurocomputing (2020) Vol. 422, pp. 214-221
Closed Access | Times Cited: 60

Showing 26-50 of 60 citing articles:

DeepPTM: Protein Post-translational Modification Prediction from Protein Sequences by Combining Deep Protein Language Model with Vision Transformers
Necla Nisa Soylu, Emre Sefer
Current Bioinformatics (2024) Vol. 19, Iss. 9, pp. 810-824
Closed Access | Times Cited: 1
Predicting DNA toehold-mediated strand displacement rate constants using a DNA-BERT transformer deep learning model
Ali Akay, Hemaprakash Nanja Reddy, Roma Galloway, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28443-e28443
Open Access | Times Cited: 1
GC6mA-Pred: A deep learning approach to identify DNA N6-methyladenine sites in the rice genome
Jianhua Cai, Guobao Xiao, Ran Su
Methods (2022) Vol. 204, pp. 14-21
Closed Access | Times Cited: 7
MoRF-FUNCpred: Molecular Recognition Feature Function Prediction Based on Multi-Label Learning and Ensemble Learning
Hao‐Zheng Li, Yihe Pang, Bin Liu, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 7
Improving lab-of-origin prediction of genetically engineered plasmids via deep metric learning
Igor Muniz Soares, Fernando H. F. Camargo, Adriano Marques, et al.
Nature Computational Science (2022) Vol. 2, Iss. 4, pp. 253-264
Closed Access | Times Cited: 6
Estimating Daily Concentrations of Near-Surface CO, NO2, and O3 Simultaneously Over China Based on Spatiotemporal Multi-Task Transformer Model
Qiaolin Zeng, Lihui Wang, Hao Zhu, et al.
Atmospheric Environment (2023) Vol. 316, pp. 120193-120193
Closed Access | Times Cited: 3
Recent Advances in Predicting Protein S-Nitrosylation Sites
Qian Zhao, Jiaqi Ma, Fang Xie, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 8
Intelligent and robust computational prediction model for DNA N4-methylcytosine sites via natural language processing
Muhammd Tahir, Hilal Tayara, Maqsood Hayat, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 217, pp. 104391-104391
Closed Access | Times Cited: 8
Combinatorial constraint coding based on the EORS algorithm in DNA storage
Li Xiaoru, Ling Guo
PLoS ONE (2021) Vol. 16, Iss. 7, pp. e0255376-e0255376
Open Access | Times Cited: 7
PredMHC: An Effective Predictor of Major Histocompatibility Complex Using Mixed Features
Dong Chen, Yanjuan Li
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 5
Identification of WHO II/III Gliomas by 16 Prognostic-related Gene Signatures using Machine Learning Methods
Yameng Wu, Yu Sa, Yu Guo, et al.
Current Medicinal Chemistry (2021) Vol. 29, Iss. 9, pp. 1622-1639
Closed Access | Times Cited: 6
Hybridformer: an efficient and robust new hybrid network for chip image segmentation
Chuang Zhang, Xiuping Liu, Xiaoge Ning, et al.
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 28592-28610
Closed Access | Times Cited: 2
Predicting At-Risk Students Using the Deep Learning BLSTM Approach
Wiem Souai, Alaeddine Mihoub, Mounira Tarhouni, et al.
(2022), pp. 32-37
Closed Access | Times Cited: 4
An Effective Deep Learning-Based Architecture for Prediction of N7-Methylguanosine Sites in Health Systems
Muhammad Tahir, Maqsood Hayat, Rahim Khan, et al.
Electronics (2022) Vol. 11, Iss. 12, pp. 1917-1917
Open Access | Times Cited: 3
Media Content Mining Based on Artificial Intelligence and Network Interaction
Kai Kang, Zhixue Wang, Hongwu Zhang
Mobile Information Systems (2022) Vol. 2022, pp. 1-6
Open Access | Times Cited: 3
Multi-scale DNA language model improves 6 mA binding sites prediction
Anlin Hou, Hanyu Luo, Liu Huan, et al.
Computational Biology and Chemistry (2024) Vol. 112, pp. 108129-108129
Closed Access
Efficient DNA Sequence Identification: A Classification Approach Integrating Gaussian RBM
Chahat Gulati, Biswajit Barman, Govind Balde, et al.
(2024), pp. 1-6
Closed Access
Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis
Umesh Kumar Lilhore, Sarita Simiaya, Musaed Alhussein, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access
Comparative Machine Learning Approaches to Identify the Rice Cultivars
Aparna Sarkar, B. Madhavidevi, Soham Nandi, et al.
(2024), pp. 945-950
Closed Access
Deep Learning Approaches for Off-targets Prediction in CRISPR-Cas9 Genome Editing to Improve Resistant in Plants
Awadhesh Kumar
(2024), pp. 319-334
Closed Access
DeepTGIN: a novel hybrid multimodal approach using transformers and graph isomorphism networks for protein-ligand binding affinity prediction
Guishen Wang, H. Zhang, Mengting Shao, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access
From 2015 to 2023: How Machine Learning Aids Natural Product Analysis
Suwen Shi, Ziwei Huang, Xingxin Gu, et al.
Chemistry Africa (2024)
Open Access
Advancement and Development of Graph-Based Reasoning Method for Human Malicious Behaviors Identification Based on Graph Contrastive Representation Learning
Zhan Li, Xingyu Song, Shi Chen, et al.
(2024)
Closed Access
ProtienCNN‐BLSTM: An efficient deep neural network with amino acid embedding‐based model of protein sequence classification and biological analysis
Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, et al.
Computational Intelligence (2024) Vol. 40, Iss. 4
Closed Access
Artificial intelligence and deep learning algorithms for epigenetic sequence analysis: A review for epigeneticists and AI experts
Muhammad Tahir, Mahboobeh Norouzi, Shehroz S. Khan, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109302-109302
Open Access

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