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:

pLoc_bal-mEuk: Predict Subcellular Localization of Eukaryotic Proteins by General PseAAC and Quasi-balancing Training Dataset
Kuo‐Chen Chou, Xiang Cheng, Xuan Xiao
Medicinal Chemistry (2018) Vol. 15, Iss. 5, pp. 472-485
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

iPhosH-PseAAC: Identify Phosphohistidine Sites in Proteins by Blending Statistical Moments and Position Relative Features According to the Chou's 5-Step Rule and General Pseudo Amino Acid Composition
Muhammad Awais, Waqar Hussain, Yaser Daanial Khan, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2019) Vol. 18, Iss. 2, pp. 596-610
Closed Access | Times Cited: 95

MsDBP: Exploring DNA-Binding Proteins by Integrating Multiscale Sequence Information via Chou’s Five-Step Rule
Xiuquan Du, Yanyu Diao, Heng Liu, et al.
Journal of Proteome Research (2019) Vol. 18, Iss. 8, pp. 3119-3132
Closed Access | Times Cited: 84

RAACBook: a web server of reduced amino acid alphabet for sequence-dependent inference by using Chou’s five-step rule
Lei Zheng, Shenghui Huang, Nengjiang Mu, et al.
Database (2019) Vol. 2019
Open Access | Times Cited: 68

iSulfoTyr-PseAAC: Identify Tyrosine Sulfation Sites by Incorporating Statistical Moments via Chou’s 5-steps Rule and Pseudo Components
Omar Barukab, Yaser Daanial Khan, Sher Afzal Khan, et al.
Current Genomics (2019) Vol. 20, Iss. 4, pp. 306-320
Open Access | Times Cited: 65

Identify RNA-associated subcellular localizations based on multi-label learning using Chou’s 5-steps rule
Hao Wang, Yijie Ding, Jijun Tang, et al.
BMC Genomics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 45

Identifying DNase I hypersensitive sites using multi-features fusion and F-score features selection via Chou's 5-steps rule
Yunyun Liang, Shengli Zhang
Biophysical Chemistry (2019) Vol. 253, pp. 106227-106227
Closed Access | Times Cited: 49

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

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

A Novel Method for Identification of Glutarylation Sites Combining Borderline-SMOTE With Tomek Links Technique in Imbalanced Data
Ning Qiao, Xiaowei Zhao, Zhiqiang Ma
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 5, pp. 2632-2641
Closed Access | Times Cited: 39

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: 40

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

Feature selection and classification for gene expression data using novel correlation based overlapping score method via Chou’s 5-steps rule
Abdul Wahid, Dost Muhammad Khan, Nadeem Iqbal, et al.
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 199, pp. 103958-103958
Closed Access | Times Cited: 30

SubLocEP: a novel ensemble predictor of subcellular localization of eukaryotic mRNA based on machine learning
Jing Li, Lichao Zhang, He Shida, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 5
Closed Access | Times Cited: 30

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

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

A review from biological mapping to computation-based subcellular localization
Jing Li, Quan Zou, Lei Yuan
Molecular Therapy — Nucleic Acids (2023) Vol. 32, pp. 507-521
Open Access | Times Cited: 8

19F-NMR in Target-based Drug Discovery
CongBao Kang
Current Medicinal Chemistry (2019) Vol. 26, Iss. 26, pp. 4964-4983
Closed Access | Times Cited: 24

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

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

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

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

Characterization of the relationship between FLI1 and immune infiltrate level in tumour immune microenvironment for breast cancer
Shiyuan Wang, Yakun Wang, Chunlu Yu, et al.
Journal of Cellular and Molecular Medicine (2020) Vol. 24, Iss. 10, pp. 5501-5514
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

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