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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:

EvoStruct-Sub: An accurate Gram-positive protein subcellular localization predictor using evolutionary and structural features
Md Raihan Uddin, Alok Sharma, Dewan Md. Farid, et al.
Journal of Theoretical Biology (2018) Vol. 443, pp. 138-146
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC
Yinan Shen, Jijun Tang, Fei Guo
Journal of Theoretical Biology (2018) Vol. 462, pp. 230-239
Closed Access | Times Cited: 152
Identification of membrane protein types via multivariate information fusion with Hilbert–Schmidt Independence Criterion
Hao Wang, Yijie Ding, Jijun Tang, et al.
Neurocomputing (2019) Vol. 383, pp. 257-269
Closed Access | Times Cited: 116
Predicting protein submitochondrial locations by incorporating the pseudo-position specific scoring matrix into the general Chou's pseudo-amino acid composition
Wenying Qiu, Shan Li, Xiaoqiang Cui, et al.
Journal of Theoretical Biology (2018) Vol. 450, pp. 86-103
Closed Access | Times Cited: 78
Critical evaluation of web-based prediction tools for human protein subcellular localization
Yinan Shen, Yijie Ding, Jijun Tang, et al.
Briefings in Bioinformatics (2019) Vol. 21, Iss. 5, pp. 1628-1640
Closed Access | Times Cited: 70
Systematic evaluation of machine learning methods for identifying human–pathogen protein–protein interactions
Huaming Chen, Fuyi Li, Lei Wang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Open Access | Times Cited: 54
Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types
Yuqing Qian, Yijie Ding, Quan Zou, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 1234-1245
Closed Access | Times Cited: 28
Predicting protein–protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach
Baoguang Tian, Xue Wu, Cheng Chen, et al.
Journal of Theoretical Biology (2018) Vol. 462, pp. 329-346
Open Access | Times Cited: 56
iRSpot-SF: Prediction of recombination hotspots by incorporating sequence based features into Chou's Pseudo components
M. Maruf, Swakkhar Shatabda
Genomics (2018) Vol. 111, Iss. 4, pp. 966-972
Open Access | Times Cited: 50
GlyStruct: glycation prediction using structural properties of amino acid residues
Hamendra Manhar Reddy, Alok Sharma, Abdollah Dehzangi, et al.
BMC Bioinformatics (2019) Vol. 19, Iss. S13
Open Access | Times Cited: 39
PhoglyStruct: Prediction of phosphoglycerylated lysine residues using structural properties of amino acids
Abel Chandra, Alok Sharma, Abdollah Dehzangi, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 36
iProtGly‐SS: Identifying protein glycation sites using sequence and structure based features
Md Mofijul Islam, Sanjay Saha, Md Mahmudur Rahman, et al.
Proteins Structure Function and Bioinformatics (2018) Vol. 86, Iss. 7, pp. 777-789
Closed Access | Times Cited: 34
Prediction of unconventional protein secretion by exosomes
Alvaro Ras-Carmona, Marta Gomez‐Perosanz, Pedro A. Reche
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 26
Regional level influenza study based on Twitter and machine learning method
Hongxin Xue, Yanping Bai, Hongping Hu, et al.
PLoS ONE (2019) Vol. 14, Iss. 4, pp. e0215600-e0215600
Open Access | Times Cited: 23
Using Evolutionary Information and Multi-Label Linear Discriminant Analysis to Predict the Subcellular Location of Multi-Site Bacterial Proteins via Chou’s 5-Steps Rule
Lei Du, Qingfang Meng, Hui Jiang, et al.
IEEE Access (2020) Vol. 8, pp. 56452-56461
Open Access | Times Cited: 21
iRecSpot-EF: Effective sequence based features for recombination hotspot prediction
Rafsanjani Muhammod, Md Toha Khan Mozlish, Sajid Ahmed, et al.
Computers in Biology and Medicine (2018) Vol. 103, pp. 17-23
Closed Access | Times Cited: 21
Subcellular location prediction of apoptosis proteins using two novel feature extraction methods based on evolutionary information and LDA
Lei Du, Qingfang Meng, Yuehui Chen, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 17
C-iSUMO: A sumoylation site predictor that incorporates intrinsic characteristics of amino acid sequences
Yosvany López, Abdollah Dehzangi, Hamendra Manhar Reddy, et al.
Computational Biology and Chemistry (2020) Vol. 87, pp. 107235-107235
Closed Access | Times Cited: 14
A convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation
Sayed Mehedi Azim, Alok Sharma, Iman Noshadi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 8
Use of Chou’s 5-steps rule to predict the subcellular localization of gram-negative and gram-positive bacterial proteins by multi-label learning based on gene ontology annotation and profile alignment
Hafida Bouziane, Abdallah Chouarfia
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (2020) Vol. 18, Iss. 1, pp. 51-79
Open Access | Times Cited: 9
PRESa2i: incremental decision trees for prediction of Adenosine to Inosine RNA editing sites
Alif Choyon, Md Ashiqur Rahman, M. Hasanuzzaman, et al.
F1000Research (2020) Vol. 9, pp. 262-262
Open Access | Times Cited: 8
HumDLoc: Human Protein Subcellular Localization Prediction Using Deep Neural Network
Rahul Semwal, Pritish Kumar Varadwaj
Current Genomics (2020) Vol. 21, Iss. 7, pp. 546-557
Open Access | Times Cited: 6
SubFeat: Feature subspacing ensemble classifier for function prediction of DNA, RNA and protein sequences
H. M. Fazlul Haque, Rafsanjani Muhammod, Fariha Arifin, et al.
Computational Biology and Chemistry (2021) Vol. 92, pp. 107489-107489
Open Access | Times Cited: 6
MethEvo: an accurate evolutionary information-based methylation site predictor
Sadia Islam, Shafayat Bin Shabbir Mugdha, Shubhashis Roy Dipta, et al.
Neural Computing and Applications (2022) Vol. 36, Iss. 1, pp. 201-212
Closed Access | Times Cited: 4
Augmented sequence features and subcellular localization for functional characterization of unknown protein sequences
Saurabh Agrawal, Dilip Singh Sisodia, Naresh Kumar Nagwani
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 11-12, pp. 2297-2310
Closed Access | Times Cited: 5
Prediction of Apoptosis Protein Subcellular Localization with Multilayer Sparse Coding and Oversampling Approach
Xingjian Chen, Xuejiao Hu, Wenxin Yi, et al.
BioMed Research International (2019) Vol. 2019, pp. 1-9
Open Access | Times Cited: 4
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