Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 deep learning method to more accurately recall known lysine acetylation sites
Meiqi Wu, Yingxi Yang, Hui Wang, et al.
BMC Bioinformatics (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 49

Showing 1-25 of 49 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: 70
Artificial Intelligence in Pharmaceutical Sciences
Mingkun Lu, Jiayi Yin, Qi Zhu, et al.
Engineering (2023) Vol. 27, pp. 37-69
Open Access | Times Cited: 64
Deep Learning in Proteomics
Bo Wen, Wen‐Feng Zeng, Yuxing Liao, et al.
PROTEOMICS (2020) Vol. 20, Iss. 21-22
Open Access | Times Cited: 127
Convolutional neural network-based annotation of bacterial type IV secretion system effectors with enhanced accuracy and reduced false discovery
Jiajun Hong, Yongchao Luo, Minjie Mou, et al.
Briefings in Bioinformatics (2019) Vol. 21, Iss. 5, pp. 1825-1836
Closed Access | Times Cited: 107
Using deep neural networks and biological subwords to detect protein S-sulfenylation sites
Duyen Thi, Thanh Quynh Trang Le, Nguyen Quoc Khanh Le
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Closed Access | Times Cited: 84
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: 72
Deep learning for mining protein data
Qiang Shi, Weiya Chen, Siqi Huang, et al.
Briefings in Bioinformatics (2019) Vol. 22, Iss. 1, pp. 194-218
Closed Access | Times Cited: 67
DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction
Niraj Thapa, Meenal Chaudhari, Sean McManus, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. S3
Open Access | Times Cited: 57
Mini-review: Recent advances in post-translational modification site prediction based on deep learning
Lingkuan Meng, Wai‐Sum Chan, Lei Huang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 3522-3532
Open Access | Times Cited: 31
TransPTM: a transformer-based model for non-histone acetylation site prediction
Lingkuan Meng, Xingjian Chen, Ke Cheng, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 7
DNNAce: Prediction of prokaryote lysine acetylation sites through deep neural networks with multi-information fusion
Bin Yu, Zhaomin Yu, Cheng Chen, et al.
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 200, pp. 103999-103999
Open Access | Times Cited: 44
AFP-LSE: Antifreeze Proteins Prediction Using Latent Space Encoding of Composition of k-Spaced Amino Acid Pairs
Muhammad Usman, Shujaat Khan, Jeong–A Lee
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 42
Drug design targeting active posttranslational modification protein isoforms
Fanwang Meng, Zhongjie Liang, Kehao Zhao, et al.
Medicinal Research Reviews (2020) Vol. 41, Iss. 3, pp. 1701-1750
Closed Access | Times Cited: 42
Реконструкція моделі мультипротеїнового комплексу, критичного для ліпідизації білка ATG8 під час формування аутофагосоми у рослин
І.В. Булгаков, Alexey Rayevsky, Ya. B. Blume
Reports of the National Academy of Sciences of Ukraine (2025), Iss. 1, pp. 68-76
Open Access
SSE-Net: A novel network based on sequence spatial equation for Camellia sinensis lysine acetylation identification
Lichao Zhang, Xue Wang, Guosheng Gao, et al.
Computational Biology and Chemistry (2025), pp. 108442-108442
Closed Access
DeepPPSite: A deep learning-based model for analysis and prediction of phosphorylation sites using efficient sequence information
Saeed Ahmed, Muhammad Kabir, Muhammad Arif, et al.
Analytical Biochemistry (2020) Vol. 612, pp. 113955-113955
Closed Access | Times Cited: 35
A comparison of machine learning classifiers for dementia with Lewy bodies using miRNA expression data
Daichi Shigemizu, Shintaro Akiyama, Yuya Asanomi, et al.
BMC Medical Genomics (2019) Vol. 12, Iss. 1
Open Access | Times Cited: 32
A switchable Cas12a enabling CRISPR-based direct histone deacetylase activity detection
Wenyuan Kang, Lin Liu, Peihang Yu, et al.
Biosensors and Bioelectronics (2022) Vol. 213, pp. 114468-114468
Closed Access | Times Cited: 17
Empowering Protein Engineering through Recombination of Beneficial Substitutions
Xinyue Wang, Anni Li, Xiujuan Li, et al.
Chemistry - A European Journal (2024) Vol. 30, Iss. 16
Closed Access | Times Cited: 3
Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features
Md. Easin Arafat, Md. Wakil Ahmad, S.M. Shovan, et al.
Genes (2020) Vol. 11, Iss. 9, pp. 1023-1023
Open Access | Times Cited: 24
UbiComb: A Hybrid Deep Learning Model for Predicting Plant-Specific Protein Ubiquitylation Sites
Arslan Siraj, Dae Yeong Lim, Hilal Tayara, et al.
Genes (2021) Vol. 12, Iss. 5, pp. 717-717
Open Access | Times Cited: 22
RecSNO: Prediction of Protein S-Nitrosylation Sites Using a Recurrent Neural Network
Arslan Siraj, Tuvshinbayar Chantsalnyam, Hilal Tayara, et al.
IEEE Access (2021) Vol. 9, pp. 6674-6682
Open Access | Times Cited: 20
BERT-Kgly: A Bidirectional Encoder Representations From Transformers (BERT)-Based Model for Predicting Lysine Glycation Site for Homo sapiens
Yinbo Liu, Yufeng Liu, Gang-Ao Wang, et al.
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 15
Deep Learning–Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction
Subash C. Pakhrin, Suresh Pokharel, Hiroto Saigo, et al.
Methods in molecular biology (2022), pp. 285-322
Closed Access | Times Cited: 15
Post-translational modifications in the Protein Data Bank
Lucy C. Schofield, Jordan S. Dialpuri, Garib N. Murshudov, et al.
Acta Crystallographica Section D Structural Biology (2024) Vol. 80, Iss. 9, pp. 647-660
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top