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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:

iCrotoK-PseAAC: Identify lysine crotonylation sites by blending position relative statistical features according to the Chou’s 5-step rule
Sharaf J. Malebary, Muhammad Safi ur Rehman, Yaser Daanial Khan
PLoS ONE (2019) Vol. 14, Iss. 11, pp. e0223993-e0223993
Open Access | Times Cited: 62

Showing 26-50 of 62 citing articles:

The pLoc_bal-mGneg Predictor is a Powerful Web-Server for Identifying the Subcellular Localization of Gram-Negative Bacterial Proteins based on their Sequences Information Alone
Kuo‐Chen Chou
International Journal of Sciences (2020) Vol. 9, Iss. 01, pp. 27-34
Open Access | Times Cited: 11
Promising Compounds for Treatment of Covid-19
Yasir Daanial Khan, Muhammad Sohaib Roomi
VAWKUM Transactions on Computer Sciences (2020) Vol. 8, Iss. 1, pp. 1-8
Closed Access | Times Cited: 11
predPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data imbalance
Sabit Ahmed, Afrida Rahman, Md. Al Mehedi Hasan, et al.
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0249396-e0249396
Open Access | Times Cited: 10
Computational Intelligence Ethical Issues in Health Care
Najm Us Sama, Kartinah Zen, N. Z. Jhanjhi, et al.
Studies in computational intelligence (2024), pp. 349-362
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
pLoc_Deep-mEuk: Predict Subcellular Localization of Eukaryotic Proteins by Deep Learning
Yutao Shao, Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 06, pp. 400-428
Open Access | Times Cited: 10
Prediction of lysine formylation sites using support vector machine based on the sample selection from majority classes and synthetic minority over-sampling techniques
Md. Sohrawordi, Md. Ali Hossain
Biochimie (2021) Vol. 192, pp. 125-135
Closed Access | Times Cited: 9
PlantNh-Kcr: a deep learning model for predicting non-histone crotonylation sites in plants
Yanming Jiang, Renxiang Yan, Xiaofeng Wang
Plant Methods (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 1
Gluconeogenesis unraveled: A proteomic Odyssey with machine learning
Seher Ansar Khawaja, Fahad Alturise, Tamim Alkhalifah, et al.
Methods (2024)
Closed Access | Times Cited: 1
The pLoc_bal-mPlant is a powerful artificial intelligence tool for predicting the subcellular localization of plant proteins purely based on their sequence information
Kuo‐Chen Chou
Journal of Stem Cell Research and Medicine (2019) Vol. 4, Iss. 2
Open Access | Times Cited: 9
Predicting Cell Wall Lytic Enzymes Using Combined Features
Xiaoyang Jing, Feng-Min Li
Frontiers in Bioengineering and Biotechnology (2021) Vol. 8
Open Access | Times Cited: 8
AntiFlamPred: An Anti-Inflammatory Peptide Predictor for Drug Selection Strategies
Fahad Alotaibi, Muhammad Attique, Yaser Daanial Khan
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 69, Iss. 1, pp. 1039-1055
Open Access | Times Cited: 8
MVNN-HNHC:A multi-view neural network for identification of human non-histone crotonylation sites
Jun Gao, Yaomiao Zhao, Chen Chen, et al.
Analytical Biochemistry (2023) Vol. 687, pp. 115426-115426
Closed Access | Times Cited: 3
Showcase to Illustrate How the Web-Server iKcr-PseEns is Working
Kuo‐Chen Chou
International Journal of Sciences (2020) Vol. 9, Iss. 01, pp. 85-95
Open Access | Times Cited: 7
βLact‐Pred: A Predictor Developed for Identification of Beta‐Lactamases Using Statistical Moments and PseAAC via 5‐Step Rule
Muhammad Adeel Ashraf, Yaser Daanial Khan, Bilal Shoaib, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 7
A Transfer Learning-Based Approach for Lysine Propionylation Prediction
Ang Li, Yingwei Deng, Tan Yan, et al.
Frontiers in Physiology (2021) Vol. 12
Open Access | Times Cited: 6
SEBP_HNHC: Stacking Ensemble-based Bi-level Predictor for Human Non-Histone Crotonylation combining with iterative feature representation strategy
Ning Qiao, Yue Wang, Zedong Qi
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 243, pp. 105019-105019
Closed Access | Times Cited: 2
The Chemical Mechanism of Pestilences or Coronavirus Disease 2019 (COVID-19)
Dongdong Zhang, Lin Fang, Li Wang, et al.
Natural Science (2020) Vol. 12, Iss. 11, pp. 717-725
Open Access | Times Cited: 5
Protein Crotonylation Expert Review: A New Lens to Take Post-Translational Modifications and Cell Biology to New Heights
Pratigya Subba, Thottethodi Subrahmanya Keshava Prasad
OMICS A Journal of Integrative Biology (2021) Vol. 25, Iss. 10, pp. 617-625
Closed Access | Times Cited: 5
pLoc_Deep-mGpos: Predict Subcellular Localization of Gram Positive Bacteria Proteins by Deep Learning
Zhe Lü, Kuo‐Chen Chou
Journal of Biomedical Science and Engineering (2020) Vol. 13, Iss. 05, pp. 55-65
Open Access | Times Cited: 4
The Significant and Profound Impacts of Chou’s 5-Steps Rule
Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 09, pp. 633-637
Open Access | Times Cited: 4
How the artificial intelligence tool iSuc-PseOpt is working for predicting lysine succinylation sites in proteins
Kuo‐Chen Chou
Biomedical Research and Clinical Reviews (2020) Vol. 1, Iss. 1, pp. 01-02
Open Access | Times Cited: 4
Coronavirus and Gordon Life Science Institute
Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 07, pp. 429-440
Open Access | Times Cited: 3
Showcase to Illustrate How the Web-Server iSulf_Wide-PseAAC Is Working
Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 08, pp. 620-631
Closed Access | Times Cited: 3
The Topological Entropy Mechanism of Coronavirus Disease 2019 (COVID-19)
Ruomeng Xu, Ludan Lei, Ruihua Qin, et al.
Natural Science (2020) Vol. 12, Iss. 12, pp. 737-742
Open Access | Times Cited: 3

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