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:

SPrenylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins
Waqar Hussain, Yaser Daanial Khan, Nouman Rasool, et al.
Journal of Theoretical Biology (2019) Vol. 468, pp. 1-11
Closed Access | Times Cited: 136

Showing 26-50 of 136 citing articles:

Using CHOU'S 5-Steps Rule to Predict O-Linked Serine Glycosylation Sites by Blending Position Relative Features and Statistical Moment
Muhammad Aizaz Akmal, Waqar Hussain, Nouman Rasool, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 18, Iss. 5, pp. 2045-2056
Closed Access | Times Cited: 44
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
A Sequence-Based Predictor of Zika Virus Proteins Developed by Integration of PseAAC and Statistical Moments
Waqar Hussain, Nouman Rasool, Yaser Daanial Khan
Combinatorial Chemistry & High Throughput Screening (2020) Vol. 23, Iss. 8, pp. 797-804
Closed Access | Times Cited: 42
Identification of Antimicrobial Peptides Using Chou’s 5 Step Rule
Sharaf J. Malebary, Yaser Daanial Khan
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 67, Iss. 3, pp. 2863-2881
Open Access | Times Cited: 36
m5c-iEnsem: 5-Methylcytosine Sites Identification through Ensemble Models
Anas Bilal, Fawaz Khaled Alarfaj, R.A. Khan, et al.
Bioinformatics (2024)
Open Access | Times Cited: 6
Glioma stages prediction based on machine learning algorithm combined with protein-protein interaction networks
Bing Niu, Chaofeng Liang, Yi Lu, et al.
Genomics (2019) Vol. 112, Iss. 1, pp. 837-847
Open Access | Times Cited: 41
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
RBPro-RF: Use Chou’s 5-steps rule to predict RNA-binding proteins via random forest with elastic net
Xiaomeng Sun, Tingyu Jin, Cheng Chen, et al.
Chemometrics and Intelligent Laboratory Systems (2019) Vol. 197, pp. 103919-103919
Closed Access | Times Cited: 37
NPalmitoylDeep-PseAAC: A Predictor of N-Palmitoylation Sites in Proteins Using Deep Representations of Proteins and PseAAC via Modified 5-Steps Rule
Sheraz Naseer, Waqar Hussain, Yaser Daanial Khan, et al.
Current Bioinformatics (2020) Vol. 16, Iss. 2, pp. 294-305
Closed Access | Times Cited: 33
Identifying FL11 subtype by characterizing tumor immune microenvironment in prostate adenocarcinoma via Chou's 5-steps rule
Lei Yang, Yingli Lv, Shiyuan Wang, et al.
Genomics (2019) Vol. 112, Iss. 2, pp. 1500-1515
Open Access | Times Cited: 35
Identifying Cancer Targets Based on Machine Learning Methods via Chou’s 5-steps Rule and General Pseudo Components
Ruirui Liang, Jiayang Xie, Chi Zhang, et al.
Current Topics in Medicinal Chemistry (2019) Vol. 19, Iss. 25, pp. 2301-2317
Closed Access | Times Cited: 33
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
sAMP-PFPDeep: Improving accuracy of short antimicrobial peptides prediction using three different sequence encodings and deep neural networks
Waqar Hussain
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 27
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
Calcium Pattern Assessment in Patients with Severe Aortic Stenosis Via the Chou’s 5-Steps Rule
Agata Wiktorowicz, Adrian Wit, Artur Dziewierz, et al.
Current Pharmaceutical Design (2019) Vol. 25, Iss. 35, pp. 3769-3775
Closed Access | Times Cited: 27
Use Chou’s 5-Steps Rule to Predict Remote Homology Proteins by Merging Grey Incidence Analysis and Domain Similarity Analysis
Wei‐Zhong Lin, Xuan Xiao, Wang‐Ren Qiu, et al.
Natural Science (2020) Vol. 12, Iss. 03, pp. 181-198
Open Access | Times Cited: 25
pLoc_Deep-mVirus: A CNN Model for Predicting Subcellular Localization of Virus Proteins by Deep Learning
Yutao Shao, Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 06, pp. 388-399
Open Access | Times Cited: 24
Hemolytic-Pred: A machine learning-based predictor for hemolytic proteins using position and composition-based features
Gulnaz Perveen, Fahad Alturise, Tamim Alkhalifah, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 9
19F-NMR in Target-based Drug Discovery
CongBao Kang
Current Medicinal Chemistry (2019) Vol. 26, Iss. 26, pp. 4964-4983
Closed Access | Times Cited: 25
New sights in cancer: Component and function of N6-methyladenosine modification
Yiyang Hu, Sumin Wang, Jiao Liu, et al.
Biomedicine & Pharmacotherapy (2019) Vol. 122, pp. 109694-109694
Open Access | Times Cited: 23
Emerging trends in post-translational modification: Shedding light on Glioblastoma multiforme
Smita Kumari, Rohan Gupta, Rashmi K. Ambasta, et al.
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2023) Vol. 1878, Iss. 6, pp. 188999-188999
Closed Access | Times Cited: 8
Using Chou’s General Pseudo Amino Acid Composition to Classify Laccases from Bacterial and Fungal Sources via Chou’s Five-Step Rule
Mandana Behbahani, Mokhtar Nosrati, Mohammad Moradi, et al.
Applied Biochemistry and Biotechnology (2019) Vol. 190, Iss. 3, pp. 1035-1048
Closed Access | Times Cited: 21
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
Proposing 5-Steps Rule Is a Notable Milestone for Studying Molecular Biology
Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 03, pp. 74-79
Open Access | Times Cited: 19
Computational identification of 4-carboxyglutamate sites to supplement physiological studies using deep learning
Sheraz Naseer, Rao Faizan Ali, Suliman Mohamed Fati, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 12

Scroll to top