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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:

HSM6AP: a high-precision predictor for the Homo sapiens N6-methyladenosine (m^6 A) based on multiple weights and feature stitching
Jing Li, He Shida, Fei Guo, et al.
RNA Biology (2021) Vol. 18, Iss. 11, pp. 1882-1892
Open Access | Times Cited: 25

Showing 25 citing articles:

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: 68
Deep transformers and convolutional neural network in identifying DNA N6-methyladenine sites in cross-species genomes
Nguyen Quoc Khanh Le, Quang‐Thai Ho
Methods (2021) Vol. 204, pp. 199-206
Closed Access | Times Cited: 81
ConSIG: consistent discovery of molecular signature from OMIC data
Fengcheng Li, Jiayi Yin, Mingkun Lu, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Closed Access | Times Cited: 59
Crosstalk between N6-methyladenosine (m6A) modification and noncoding RNA in tumor microenvironment
Dan Wang, Yingying Han, Lushan Peng, et al.
International Journal of Biological Sciences (2023) Vol. 19, Iss. 7, pp. 2198-2219
Open Access | Times Cited: 22
The functional roles, cross-talk and clinical implications of m6A modification and circRNA in hepatocellular carcinoma
Sha Qin, Yitao Mao, Chen Xue, et al.
International Journal of Biological Sciences (2021) Vol. 17, Iss. 12, pp. 3059-3079
Open Access | Times Cited: 41
N(6)-methyladenosine modification: A vital role of programmed cell death in myocardial ischemia/reperfusion injury
Jian Wang, Yanyan Li, Song Zhang
International Journal of Cardiology (2022) Vol. 367, pp. 11-19
Closed Access | Times Cited: 26
Deepm6A-MT: A deep learning-based method for identifying RNA N6-methyladenosine sites in multiple tissues
Guohua Huang, Xiaohong Huang, Jinyun Jiang
Methods (2024) Vol. 226, pp. 1-8
Closed Access | Times Cited: 4
Using statistical analysis to explore the influencing factors of data imbalance for machine learning identification methods of human transcriptome m6A modification sites
Mingxin Li, Rujun Li, Yichi Zhang, et al.
Computational Biology and Chemistry (2025) Vol. 115, pp. 108351-108351
Closed Access
A bijective inference network for interpretable identification of RNA N6-methyladenosine modification sites
Guodong Li, Yue Yang, Dongxu Li, et al.
Pattern Recognition (2025), pp. 111541-111541
Closed Access
FRP-XGBoost: Identification of ferroptosis-related proteins based on multi-view features
Lin Li, Yao Long, Jinkai Liu, et al.
International Journal of Biological Macromolecules (2024) Vol. 262, pp. 130180-130180
Closed Access | Times Cited: 3
m5CRegpred: Epitranscriptome Target Prediction of 5-Methylcytosine (m5C) Regulators Based on Sequencing Features
Zhizhou He, Jing Xu, Haoran Shi, et al.
Genes (2022) Vol. 13, Iss. 4, pp. 677-677
Open Access | Times Cited: 14
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
M6A-BiNP: predicting N6-methyladenosine sites based on bidirectional position-specific propensities of polynucleotides and pointwise joint mutual information
Mingzhao Wang, Juanying Xie, Sheng‐Quan Xu
RNA Biology (2021) Vol. 18, Iss. 12, pp. 2498-2512
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: 8
Advances in detecting N6-methyladenosine modification in circRNAs
Lixia Ma, Lina He, Shiyang Kang, et al.
Methods (2022) Vol. 205, pp. 234-246
Closed Access | Times Cited: 7
Insights into N6-methyladenosine (m6A) modification of noncoding RNA in tumor microenvironment
Yanjun Zhang, Lijuan Zhan, Jing Li, et al.
Aging (2023) Vol. 15, Iss. 9, pp. 3857-3889
Open Access | Times Cited: 3
StackRAM: a cross-species method for identifying RNA N6-methyladenosine sites based on stacked ensemble
Yaqun Zhang, Zhaomin Yu, Bin Yu, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 222, pp. 104495-104495
Open Access | Times Cited: 4
MTDeepM6A-2S: A two-stage multi-task deep learning method for predicting RNA N6-methyladenosine sites of Saccharomyces cerevisiae
Hong Wang, Shihao Zhao, Yinchu Cheng, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 3
An Integrated Multi-Model Framework Utilizing Convolutional Neural Networks Coupled with Feature Extraction for Identification of 4mC Sites in DNA Sequences
Muhammad Tahir, Shahid Hussain, Fawaz Khaled Alarfaj
Computers in Biology and Medicine (2024) Vol. 183, pp. 109281-109281
Closed Access
AI-m6ARS: Machine learning-driven m6A RNA methylation site discovery with integrated sequence, conservation, and geographical descriptors
Korawich Uthayopas, Alex G. C. de Sá, David B. Ascher
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
PSATF-6mA: an integrated learning fusion feature-encoded DNA-6 mA methylcytosine modification site recognition model based on attentional mechanisms
Yanmei Kang, Hongyuan Wang, Ying Qin, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access
Comparative evaluation and analysis of DNA N4-methylcytosine methylation sites using deep learning
Hong Ju, Jie Bai, Jing Jiang, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 1
DNA/RNA sequence feature representation algorithms for predicting methylation-modified sites
Juanying Xie, Mingzhao Wang, Sheng‐Quan Xu
Scientia Sinica Vitae (2022) Vol. 53, Iss. 6, pp. 841-875
Closed Access | Times Cited: 2
Prognostic signature analysis and survival prediction of esophageal cancer based on N6-methyladenosine associated lncRNAs
Ting He, Zhipeng Gao, Ling Lin, et al.
Briefings in Functional Genomics (2023) Vol. 23, Iss. 3, pp. 239-248
Closed Access
Recent Development of Computational Methods in the Field of Epitranscriptomics
Zijie Zhang, Shun Liu, Chuan He, et al.
Springer handbooks of computational statistics (2022), pp. 285-309
Closed Access
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