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_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

Showing 16 citing articles:

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

PA-PseU: An incremental passive-aggressive based method for identifying RNA pseudouridine sites via Chou’s 5-steps rule
Jiesheng Wang, Shengli Zhang
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 210, pp. 104250-104250
Closed Access | Times Cited: 15

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

Deep Multi-Label Joint Learning for RNA and DNA-Binding Proteins Prediction
Xiuquan Du, Jiajia Hu
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 1, pp. 307-320
Open Access | Times Cited: 6

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

A Large-Scale Fully Annotated Low-Cost Microscopy Image Dataset for Deep Learning Framework
Sumona Biswas, Shovan Barma
IEEE Transactions on NanoBioscience (2021) Vol. 20, Iss. 4, pp. 507-515
Open Access | Times Cited: 5

The Pandemic Pestilences and Internet Institutes
Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 07, pp. 495-515
Open Access | Times Cited: 4

Using Chou’s 5-Step Rule to Predict DNA-Protein Binding with Multi-scale Complementary Feature
Xiuquan Du, Jiajia Hu, Shuo Li
Journal of Proteome Research (2021) Vol. 20, Iss. 3, pp. 1639-1656
Closed Access | Times Cited: 4

The Implication of “I Am the Alpha and the Omega” to Internet Institutes
Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 07, pp. 482-494
Open Access | Times Cited: 3

The End of Our Earth Is Certainly to Come: “When”? and “Why”?
Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 08, pp. 553-568
Open Access | Times Cited: 3

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

The Development and Progress in Machine Learning for Protein Subcellular Localization Prediction
He Le, Xiyu Liu
The Open Bioinformatics Journal (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 2

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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