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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.

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Showing 26-50 of 96 citing articles:

Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou’s PseAAC
Shengli Zhang, Yunyun Liang
Journal of Theoretical Biology (2018) Vol. 457, pp. 163-169
Closed Access | Times Cited: 56
Effective DNA binding protein prediction by using key features via Chou’s general PseAAC
Sheikh Adilina, Dewan Md. Farid, Swakkhar Shatabda
Journal of Theoretical Biology (2018) Vol. 460, pp. 64-78
Closed Access | Times Cited: 54
iProtease-PseAAC(2L): A two-layer predictor for identifying proteases and their types using Chou's 5-step-rule and general PseAAC
Yaser Daanial Khan, Najm Amin, Waqar Hussain, et al.
Analytical Biochemistry (2019) Vol. 588, pp. 113477-113477
Closed Access | Times Cited: 51
Sequence-based Identification of Allergen Proteins Developed by Integration of PseAAC and Statistical Moments via 5-Step Rule
Yaser Daanial Khan, Ebraheem Alzahrani, Wajdi Alghamdi, et al.
Current Bioinformatics (2020) Vol. 15, Iss. 9, pp. 1046-1055
Closed Access | Times Cited: 45
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
AptaNet as a deep learning approach for aptamer–protein interaction prediction
Neda Emami, Reza Ferdousi
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 39
Insights on post-translational modifications in fatty liver and fibrosis progression
C. Nageswara Raju, Kavitha Sankaranarayanan
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2025) Vol. 1871, Iss. 3, pp. 167659-167659
Closed Access
Fu-SulfPred: Identification of Protein S-sulfenylation Sites by Fusing Forests via Chou’s General PseAAC
Lidong Wang, Ruijun Zhang, Yashuang Mu
Journal of Theoretical Biology (2018) Vol. 461, pp. 51-58
Closed Access | Times Cited: 45
Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition
Juan Mei, Yi Fu, Ji Zhao
Journal of Theoretical Biology (2018) Vol. 456, pp. 41-48
Closed Access | Times Cited: 43
Impacts of Pseudo Amino Acid Components and 5-steps Rule to Proteomics and Proteome Analysis
Kuo‐Chen Chou
Current Topics in Medicinal Chemistry (2019) Vol. 19, Iss. 25, pp. 2283-2300
Closed Access | Times Cited: 39
Prediction and functional analysis of prokaryote lysine acetylation site by incorporating six types of features into Chou's general PseAAC
Guodong Chen, Man Cao, Jialin Yu, et al.
Journal of Theoretical Biology (2018) Vol. 461, pp. 92-101
Closed Access | Times Cited: 32
Artificial Intelligence (AI) Tools Constructed via the 5-Steps Rule for Predicting Post-Translational Modifications
Chou Kuo‐Chen
Trends in Artificial Intelligence (2019) Vol. 3, Iss. 1
Open Access | Times Cited: 31
m7GPredictor: An improved machine learning-based model for predicting internal m7G modifications using sequence properties
Xudong Liu, Ze Liu, Xiuli Mao, et al.
Analytical Biochemistry (2020) Vol. 609, pp. 113905-113905
Closed Access | Times Cited: 27
4mC-RF: Improving the prediction of 4mC sites using composition and position relative features and statistical moment
Wajdi Alghamdi, Ebraheem Alzahrani, Malik Zaka Ullah, et al.
Analytical Biochemistry (2021) Vol. 633, pp. 114385-114385
Closed Access | Times Cited: 24
Posttranslational modifications induce autoantibodies with risk prediction capability in patients with small cell lung cancer
Kristin J. Lastwika, Andrew G. Kunihiro, Joell L. Solan, et al.
Science Translational Medicine (2023) Vol. 15, Iss. 678
Open Access | Times Cited: 10
Proposing Pseudo Amino Acid Components is an Important Milestone for Proteome and Genome Analyses
Kuo‐Chen Chou
International Journal of Peptide Research and Therapeutics (2019) Vol. 26, Iss. 2, pp. 1085-1098
Closed Access | Times Cited: 29
The Multiple Applications and Possible Mechanisms of the Hyperbaric Oxygenation Therapy
Chen Wan, Xingmei Liang, Zhihuan Nong, et al.
Medicinal Chemistry (2019) Vol. 15, Iss. 5, pp. 459-471
Closed Access | Times Cited: 26
Identifying N6-methyladenosine sites using extreme gradient boosting system optimized by particle swarm optimizer
Xiaowei Zhao, Ye Zhang, Ning Qiao, et al.
Journal of Theoretical Biology (2019) Vol. 467, pp. 39-47
Closed Access | Times Cited: 24
Progression on Citrullination of Proteins in Gastrointestinal Cancers
Shuzheng Song, Yingyan Yu
Frontiers in Oncology (2019) Vol. 9
Open Access | Times Cited: 22
Bioimage-Based Prediction of Protein Subcellular Location in Human Tissue with Ensemble Features and Deep Networks
Guanghui Liu, Beiwei Zhang, Gang Qian, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2019) Vol. 17, Iss. 6, pp. 1966-1980
Closed Access | Times Cited: 20
Identify Lysine Neddylation Sites Using Bi-profile Bayes Feature Extraction via the Chou’s 5-steps Rule and General Pseudo Components
Zhe Ju, Shiyun Wang
Current Genomics (2019) Vol. 20, Iss. 8, pp. 592-601
Open Access | Times Cited: 20
The Development of Gordon Life Science Institute: Its Driving Force and Accomplishments
Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 04, pp. 202-217
Open Access | Times Cited: 19
An Insightful 10-year Recollection Since the Emergence of the 5-steps Rule
Kuo‐Chen Chou
Current Pharmaceutical Design (2019) Vol. 25, Iss. 40, pp. 4223-4234
Closed Access | Times Cited: 18
How the Artificial Intelligence Tool iRNA-PseU is Working in Predicting the RNA Pseudouridine Sites?
Kuo Chen Chou
Biomedical Journal of Scientific & Technical Research (2020) Vol. 24, Iss. 2
Open Access | Times Cited: 16
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

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