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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:

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

Showing 19 citing articles:

An ensemble learning method combined with multiple feature representation strategies to predict lncRNA subcellular localizations
Lina Zhang, Sizan Gao, Quan Yuan, et al.
Computational Biology and Chemistry (2025), pp. 108336-108336
Closed Access
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
Use Chou’s 5-steps rule to identify DNase I hypersensitive sites via dinucleotide property matrix and extreme gradient boosting
Shengli Zhang, Tian Xue
Molecular Genetics and Genomics (2020) Vol. 295, Iss. 6, pp. 1431-1442
Closed Access | Times Cited: 22
Machine learning model to predict oncologic outcomes for drugs in randomized clinical trials
Alexander Schperberg, Amélie Boichard, Igor F. Tsigelny, et al.
International Journal of Cancer (2020) Vol. 147, Iss. 9, pp. 2537-2549
Open Access | Times Cited: 18
pLoc_Deep-mPlant: Predict Subcellular Localization of Plant Proteins by Deep Learning
Yutao Shao, Xinxin Liu, Zhe Lü, et al.
Natural Science (2020) Vol. 12, Iss. 05, pp. 237-247
Open Access | Times Cited: 16
iATC_Deep-mISF: A Multi-Label Classifier for Predicting the Classes of Anatomical Therapeutic Chemicals by Deep Learning
Zhe Lü, Kuo‐Chen Chou
Advances in Bioscience and Biotechnology (2020) Vol. 11, Iss. 05, pp. 153-159
Open Access | Times Cited: 15
pLoc_Deep-mHum: Predict Subcellular Localization of Human Proteins by Deep Learning
Yutao Shao, Xinxin Liu, Zhe Lü, et al.
Natural Science (2020) Vol. 12, Iss. 07, pp. 526-551
Open Access | Times Cited: 14
pLoc_Deep-mAnimal: A Novel Deep CNN-BLSTM Network to Predict Subcellular Localization of Animal Proteins
Yutao Shao, Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 05, pp. 281-291
Open Access | Times Cited: 13
Using Chou’s Five-steps Rule to Classify and Predict Glutathione S-transferases with Different Machine Learning Algorithms and Pseudo Amino Acid Composition
Hassan Mohabatkar, Samira Ebrahimi, Mohammad Moradi
International Journal of Peptide Research and Therapeutics (2020) Vol. 27, Iss. 1, pp. 309-316
Closed Access | Times Cited: 12
pLoc_Deep-mGneg: Predict Subcellular Localization of Gram Negative Bacterial Proteins by Deep Learning
Xinxin Liu, Kuo‐Chen Chou
Advances in Bioscience and Biotechnology (2020) Vol. 11, Iss. 05, pp. 141-152
Open Access | Times Cited: 10
Lasso regression under stochastic restrictions in linear regression: An application to genomic data
Murat Genç, M. Revan Özkale
Communication in Statistics- Theory and Methods (2022) Vol. 53, Iss. 8, pp. 2816-2839
Closed Access | Times Cited: 5
Identification of ligand-binding residues using protein sequence profile alignment and query-specific support vector machine model
Jun Hu, Liang Rao, Xueqiang Fan, et al.
Analytical Biochemistry (2020) Vol. 604, pp. 113799-113799
Closed Access | Times Cited: 6
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
Using Chou’s 5-steps rule to identify N6-methyladenine sites by ensemble learning combined with multiple feature extraction methods
Zhongwang Zhang, Lidong Wang
Journal of Biomolecular Structure and Dynamics (2020) Vol. 40, Iss. 2, pp. 796-806
Closed Access | Times Cited: 4
The Significant and Profound Impacts of Gordon Life Science Institute
Kuo‐Chen Chou
International Journal of Genomics Proteomics Metabolomics & Bioinformatics (2020), pp. 43-50
Open Access | Times Cited: 3
DNA Methylation Prediction Using Reduced Features Obtained via Gappy Pair Kernel and Partial Least Square
Sajid Shah, Altaf Ur Rahman, Saima Jabeen, et al.
IEEE Access (2022) Vol. 10, pp. 53265-53274
Open Access | Times Cited: 1
iDRP-PseAAC: Identification of DNA Replication Proteins Using General PseAAC and Position Dependent Features
Arqam Amin, Muhammad Awais, Shalini Sahai, et al.
International Journal of Peptide Research and Therapeutics (2021) Vol. 27, Iss. 2, pp. 1315-1329
Open Access | Times Cited: 1
The Significant and Profound Impacts of Gordon Life Science Institute
Kuo‐Chen Chou
Biotechnology and Bioprocessing (2020) Vol. 1, Iss. 3, pp. 01-11
Open Access
The Significant and Profound Impacts of Gordon Life Science Institute
Kuo‐Chen Chou
Voice of the Publisher (2021) Vol. 07, Iss. 01, pp. 6-31
Open Access
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