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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:

Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species
Leyi Wei, Shasha Luan, Luís Augusto Eijy Nagai, et al.
Bioinformatics (2018) Vol. 35, Iss. 8, pp. 1326-1333
Closed Access | Times Cited: 169

Showing 1-25 of 169 citing articles:

Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA
Quan Zou, Pengwei Xing, Leyi Wei, et al.
RNA (2018) Vol. 25, Iss. 2, pp. 205-218
Open Access | Times Cited: 471
Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation
Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Molecular Therapy — Nucleic Acids (2019) Vol. 16, pp. 733-744
Open Access | Times Cited: 200
mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides
Vinothini Boopathi, Sathiyamoorthy Subramaniyam, Adeel Malik, et al.
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 8, pp. 1964-1964
Open Access | Times Cited: 168
SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Molecular Therapy — Nucleic Acids (2019) Vol. 18, pp. 131-141
Open Access | Times Cited: 151
Enhanced Data Security of Communication System Using Combined Encryption and Steganography
Haider TH. Salim ALRikabi, Hussein Tuama Hazim
International Journal of Interactive Mobile Technologies (iJIM) (2021) Vol. 15, Iss. 16, pp. 144-144
Open Access | Times Cited: 137
Biological Sequence Classification: A Review on Data and General Methods
Chunyan Ao, Shihu Jiao, Yansu Wang, et al.
Research (2022) Vol. 2022
Open Access | Times Cited: 73
Towards retraining-free RNA modification prediction with incremental learning
Jianbo Qiao, Junru Jin, Haoqing Yu, et al.
Information Sciences (2024) Vol. 660, pp. 120105-120105
Closed Access | Times Cited: 19
Evaluation of different computational methods on 5-methylcytosine sites identification
Hao Lv, Zimei Zhang, Shi-Hao Li, et al.
Briefings in Bioinformatics (2019) Vol. 21, Iss. 3, pp. 982-995
Closed Access | Times Cited: 142
iMRM: a platform for simultaneously identifying multiple kinds of RNA modifications
Kewei Liu, Wei Chen
Bioinformatics (2020) Vol. 36, Iss. 11, pp. 3336-3342
Open Access | Times Cited: 136
Iterative feature representations improve N4-methylcytosine site prediction
Leyi Wei, Ran Su, Shasha Luan, et al.
Bioinformatics (2019) Vol. 35, Iss. 23, pp. 4930-4937
Closed Access | Times Cited: 126
MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters
Meng Zhang, Fuyi Li, Tatiana T. Marquez‐Lago, et al.
Bioinformatics (2019) Vol. 35, Iss. 17, pp. 2957-2965
Open Access | Times Cited: 120
PredT4SE-Stack: Prediction of Bacterial Type IV Secreted Effectors From Protein Sequences Using a Stacked Ensemble Method
Yi Xiong, Qiankun Wang, Junchen Yang, et al.
Frontiers in Microbiology (2018) Vol. 9
Open Access | Times Cited: 116
DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites
Quanzhong Liu, Jin-Xiang Chen, Yanze Wang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Open Access | Times Cited: 114
iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Computational and Structural Biotechnology Journal (2018) Vol. 16, pp. 412-420
Open Access | Times Cited: 111
M6AMRFS: Robust Prediction of N6-Methyladenosine Sites With Sequence-Based Features in Multiple Species
Xiaoli Qiang, Huangrong Chen, Xiucai Ye, et al.
Frontiers in Genetics (2018) Vol. 9
Open Access | Times Cited: 106
An Efficient Classifier for Alzheimer’s Disease Genes Identification
Lei Xu, Guangmin Liang, Changrui Liao, et al.
Molecules (2018) Vol. 23, Iss. 12, pp. 3140-3140
Open Access | Times Cited: 102
AtbPpred: A Robust Sequence-Based Prediction of Anti-Tubercular Peptides Using Extremely Randomized Trees
Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Computational and Structural Biotechnology Journal (2019) Vol. 17, pp. 972-981
Open Access | Times Cited: 95
4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N4-Methylcytosine Sites in the Mouse Genome
Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Cells (2019) Vol. 8, Iss. 11, pp. 1332-1332
Open Access | Times Cited: 91
Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications
Zitao Song, Daiyun Huang, Bowen Song, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 90
RF-PseU: A Random Forest Predictor for RNA Pseudouridine Sites
Zhibin Lv, Jun Zhang, Hui Ding, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 81
Prediction of bio-sequence modifications and the associations with diseases
Chunyan Ao, Liang Yu, Quan Zou
Briefings in Functional Genomics (2020) Vol. 20, Iss. 1, pp. 1-18
Closed Access | Times Cited: 76
PASSION: an ensemble neural network approach for identifying the binding sites of RBPs on circRNAs
Cangzhi Jia, Yue Bi, Jin-Xiang Chen, et al.
Bioinformatics (2020) Vol. 36, Iss. 15, pp. 4276-4282
Open Access | Times Cited: 75
Deep4mC: systematic assessment and computational prediction for DNA N4-methylcytosine sites by deep learning
Haodong Xu, Peilin Jia, Zhongming Zhao
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Open Access | Times Cited: 74
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding
Min Zeng, Yifan Wu, Chengqian Lu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 63
An effective framework for predicting drug–drug interactions based on molecular substructures and knowledge graph neural network
Siqi Chen, Ivan Semenov, Fengyun Zhang, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107900-107900
Closed Access | Times Cited: 32
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