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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:

i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemes
Md Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 906-912
Open Access | Times Cited: 66

Showing 26-50 of 66 citing articles:

4mCPred-CNN—Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network
Zeeshan Abbas, Hilal Tayara, Kil To Chong
Genes (2021) Vol. 12, Iss. 2, pp. 296-296
Open Access | Times Cited: 27
SortPred: The first machine learning based predictor to identify bacterial sortases and their classes using sequence-derived information
Adeel Malik, Sathiyamoorthy Subramaniyam, Chang-Bae Kim, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 20, pp. 165-174
Open Access | Times Cited: 27
Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods
Hasan Zulfiqar, Zhiling Guo, Bakanina Kissanga Grace-Mercure, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2253-2261
Open Access | Times Cited: 11
m6Aminer: Predicting the m6Am Sites on mRNA by Fusing Multiple Sequence-Derived Features into a CatBoost-Based Classifier
Ze Liu, Pengfei Lan, Ting Liu, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 9, pp. 7878-7878
Open Access | Times Cited: 10
Alternative splicing dynamics during gastrulation in mouse embryo
Wei Wang, Yu Zhang, Yuanyuan Zhai, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Accurate prediction of DNA N4-methylcytosine sites via boost-learning various types of sequence features
Zhixun Zhao, Xiaocai Zhang, Fang Chen, et al.
BMC Genomics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 25
Research Progress in Predicting DNA Methylation Modifications and the Relation with Human Diseases
Chunyan Ao, Lin Gao, Liang Yu
Current Medicinal Chemistry (2021) Vol. 29, Iss. 5, pp. 822-836
Closed Access | Times Cited: 22
DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Ahtisham Fazeel, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 15
i4mC-GRU: Identifying DNA N4-Methylcytosine sites in mouse genomes using bidirectional gated recurrent unit and sequence-embedded features
Thanh‐Hoang Nguyen‐Vo, Quang H. Trinh, Loc Nguyen, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 3045-3053
Open Access | Times Cited: 9
Recent Development of Bioinformatics Tools for microRNA Target Prediction
Mst. Shamima Khatun, Md. Ashad Alam, Watshara Shoombuatong, et al.
Current Medicinal Chemistry (2021) Vol. 29, Iss. 5, pp. 865-880
Closed Access | Times Cited: 19
Identification of DNA modification sites based on elastic net and bidirectional gated recurrent unit with convolutional neural network
Bin Yu, Yaqun Zhang, Xue Wang, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103566-103566
Closed Access | Times Cited: 13
Systematic Analysis and Accurate Identification of DNA N4-Methylcytosine Sites by Deep Learning
Lezheng Yu, Yonglin Zhang, Xue Li, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 13
MultiScale-CNN-4mCPred: a multi-scale CNN and adaptive embedding-based method for mouse genome DNA N4-methylcytosine prediction
Peijie Zheng, Guiyang Zhang, Yuewu Liu, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 8
Computational identification of N4-methylcytosine sites in the mouse genome with machine-learning method
Hasan Zulfiqar, Rida Sarwar Khan, Farwa Hassan, et al.
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 4, pp. 3348-3363
Open Access | Times Cited: 16
MuLan-Methyl - Multiple Transformer-based Language Models for Accurate DNA Methylation Prediction
Wenhuan Zeng, Anupam Gautam, Daniel H. Huson
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
STM-ac4C: a hybrid model for identification of N4-acetylcytidine (ac4C) in human mRNA based on selective kernel convolution, temporal convolutional network, and multi-head self-attention
Mengyue Yi, Fenglin Zhou, Yu Deng
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 2
A convolution based computational approach towards DNA N6-methyladenine site identification and motif extraction in rice genome
Chowdhury Rafeed Rahman, Ruhul Amin, Swakkhar Shatabda, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 14
Word2vec based deep learning network for DNA N4-methylcytosine sites identification
Guanyun Fang, Feng Zeng, Xingcun Li, et al.
Procedia Computer Science (2021) Vol. 187, pp. 270-277
Open Access | Times Cited: 13
CNNLSTMac4CPred: A Hybrid Model for N4-Acetylcytidine Prediction
Guiyang Zhang, Wei Luo, Jianyi Lyu, et al.
Interdisciplinary Sciences Computational Life Sciences (2022) Vol. 14, Iss. 2, pp. 439-451
Closed Access | Times Cited: 9
Identification of DNA N4-methylcytosine Sites via Multiview Kernel Sparse Representation Model
Chengwei Ai, Prayag Tiwari, Hongpeng Yang, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 5, pp. 1236-1245
Open Access | Times Cited: 8
Prediction of DNA Methylation based on Multi-dimensional feature encoding and double convolutional fully connected convolutional neural network
Wenxing Hu, Lixin Guan, Mengshan Li
PLoS Computational Biology (2023) Vol. 19, Iss. 8, pp. e1011370-e1011370
Open Access | Times Cited: 4
Mus4mCPred: Accurate Identification of DNA N4-Methylcytosine Sites in Mouse Genome Using Multi-View Feature Learning and Deep Hybrid Network
Xiao Wang, Qian Du, Rong Wang
Processes (2024) Vol. 12, Iss. 6, pp. 1129-1129
Open Access | Times Cited: 1
Fuzzy Neural Tangent Kernel Model for Identifying DNA N4-methylcytosine Sites
Yijie Ding, Prayag Tiwari, Fei Guo, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 10, pp. 5714-5727
Closed Access | Times Cited: 1
Recent Development of Machine Learning Methods in Microbial Phosphorylation Sites
Md Mamunur Rashid, Swakkhar Shatabda, Md Mehedi Hasan, et al.
Current Genomics (2020) Vol. 21, Iss. 3, pp. 194-203
Open Access | Times Cited: 10
A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4—Methylcytosine Using Deep Learning Approach
Rajib Kumar Halder, Mohammed Nasir Uddin, Md Ashraf Uddin, et al.
Genes (2023) Vol. 14, Iss. 3, pp. 582-582
Open Access | Times Cited: 3

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