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:

predML-Site: Predicting Multiple Lysine PTM Sites With Optimal Feature Representation and Data Imbalance Minimization
Sabit Ahmed, Afrida Rahman, Md. Al Mehedi Hasan, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 6, pp. 3624-3634
Closed Access | Times Cited: 14

Showing 14 citing articles:

Deepro-Glu: combination of convolutional neural network and Bi-LSTM models using ProtBert and handcrafted features to identify lysine glutarylation sites
Xiao Wang, Zhaoyuan Ding, Rong Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 18

RMTLysPTM: recognizing multiple types of lysine PTM sites by deep analysis on sequences
Lei Chen, Yuwei Chen
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 13

DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network
Jhabindra Khanal, Hilal Tayara, Quan Zou, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 30

Protein post-translational modification by lysine succinylation: Biochemistry, biological implications, and therapeutic opportunities
Zhao Guo, Junfeng Zhen, Xinyuan Liu, et al.
Genes & Diseases (2022) Vol. 10, Iss. 4, pp. 1242-1262
Open Access | Times Cited: 19

CapsNh-Kcr: Capsule network-based prediction of lysine crotonylation sites in human non-histone proteins
Jhabindra Khanal, Jeevan Kandel, Hilal Tayara, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 21, pp. 120-127
Open Access | Times Cited: 11

A protein succinylation sites prediction method based on the hybrid architecture of LSTM network and CNN
Die Zhang, Shunfang Wang
Journal of Bioinformatics and Computational Biology (2022) Vol. 20, Iss. 02
Closed Access | Times Cited: 9

Predicting lysine methylation sites using a convolutional neural network
Austin Spadaro, Alok Sharma, Abdollah Dehzangi
Methods (2024) Vol. 226, pp. 127-132
Closed Access | Times Cited: 1

Current computational tools for protein lysine acylation site prediction
Zhaohui Qin, Haoran Ren, Pei Zhao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Closed Access | Times Cited: 1

Accurately predicting nitrosylated tyrosine sites using probabilistic sequence information
Afrida Rahman, Sabit Ahmed, Md. Al Mehedi Hasan, et al.
Gene (2022) Vol. 826, pp. 146445-146445
Closed Access | Times Cited: 5

MLysPRED: graph-based multi-view clustering and multi-dimensional normal distribution resampling techniques to predict multiple lysine sites
Yun Zuo, Yue Hong, Xiangxiang Zeng, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 3

PreMLS: The undersampling technique based on ClusterCentroids to predict multiple lysine sites
Yuhua Zuo, Xingze Fang, Jun Wan, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 10, pp. e1012544-e1012544
Open Access

Succinylated lysine residue prediction revisited
Shehab Ahmed, Zaara T. Rifat, Mohammad Saifur Rahman, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access

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