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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:

iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteineS-nitrosylation sites in proteins
Yan Xu, Xiaojian Shao, Ling‐Yun Wu, et al.
PeerJ (2013) Vol. 1, pp. e171-e171
Open Access | Times Cited: 272

Showing 1-25 of 272 citing articles:

Impacts of Bioinformatics to Medicinal Chemistry
Kuo‐Chen Chou
Medicinal Chemistry (2015) Vol. 11, Iss. 3, pp. 218-234
Closed Access | Times Cited: 527
iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition
Hao Lin, En-Ze Deng, Hui Ding, et al.
Nucleic Acids Research (2014) Vol. 42, Iss. 21, pp. 12961-12972
Open Access | Times Cited: 491
PseKNC: A flexible web server for generating pseudo K-tuple nucleotide composition
Wei Chen, Tianyu Lei, Dianchuan Jin, et al.
Analytical Biochemistry (2014) Vol. 456, pp. 53-60
Closed Access | Times Cited: 413
iACP: a sequence-based tool for identifying anticancer peptides
Wei Chen, Hui Ding, Pengmian Feng, et al.
Oncotarget (2016) Vol. 7, Iss. 13, pp. 16895-16909
Open Access | Times Cited: 409
iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition
Bin Liu, Longyun Fang, Ren Long, et al.
Bioinformatics (2015) Vol. 32, Iss. 3, pp. 362-369
Open Access | Times Cited: 352
iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition
Wei Chen, Pengmian Feng, Hui Ding, et al.
Analytical Biochemistry (2015) Vol. 490, pp. 26-33
Closed Access | Times Cited: 336
iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC
Bin Liu, Fan Yang, De-Shuang Huang, et al.
Bioinformatics (2017) Vol. 34, Iss. 1, pp. 33-40
Open Access | Times Cited: 318
iDNA-Prot|dis: Identifying DNA-Binding Proteins by Incorporating Amino Acid Distance-Pairs and Reduced Alphabet Profile into the General Pseudo Amino Acid Composition
Bin Liu, Jinghao Xu, Xun Lan, et al.
PLoS ONE (2014) Vol. 9, Iss. 9, pp. e106691-e106691
Open Access | Times Cited: 307
Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences
Wei Chen, Hao Lin, Kuo‐Chen Chou
Molecular BioSystems (2015) Vol. 11, Iss. 10, pp. 2620-2634
Closed Access | Times Cited: 305
iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC
Pengmian Feng, Hui Yang, Hui Ding, et al.
Genomics (2018) Vol. 111, Iss. 1, pp. 96-102
Open Access | Times Cited: 298
iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC
Pengmian Feng, Hui Ding, Hui Yang, et al.
Molecular Therapy — Nucleic Acids (2017) Vol. 7, pp. 155-163
Open Access | Times Cited: 285
iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC
Jianhua Jia, Zi Liu, Xuan Xiao, et al.
Journal of Theoretical Biology (2015) Vol. 377, pp. 47-56
Closed Access | Times Cited: 277
iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC
Zhendong Su, Yan Huang, Zhao‐Yue Zhang, et al.
Bioinformatics (2018) Vol. 34, Iss. 24, pp. 4196-4204
Open Access | Times Cited: 273
Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection
Bin Liu, Deyuan Zhang, Ruifeng Xu, et al.
Bioinformatics (2013) Vol. 30, Iss. 4, pp. 472-479
Open Access | Times Cited: 269
iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset
Jianhua Jia, Zi Liu, Xuan Xiao, et al.
Analytical Biochemistry (2015) Vol. 497, pp. 48-56
Closed Access | Times Cited: 266
iTIS-PseTNC: A sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition
Wei Chen, Pengmian Feng, En-Ze Deng, et al.
Analytical Biochemistry (2014) Vol. 462, pp. 76-83
Closed Access | Times Cited: 258
iPTM-mLys: identifying multiple lysine PTM sites and their different types
Wang‐Ren Qiu, Bi‐Qian Sun, Xuan Xiao, et al.
Bioinformatics (2016) Vol. 32, Iss. 20, pp. 3116-3123
Open Access | Times Cited: 254
Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAAC
Abdollah Dehzangi, Rhys Heffernan, Alok Sharma, et al.
Journal of Theoretical Biology (2014) Vol. 364, pp. 284-294
Open Access | Times Cited: 241
2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function
Bin Liu, Fan Yang, Kuo‐Chen Chou
Molecular Therapy — Nucleic Acids (2017) Vol. 7, pp. 267-277
Open Access | Times Cited: 241
iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components
Wang-Ren Qiu, Xuan Xiao, Kuo‐Chen Chou
International Journal of Molecular Sciences (2014) Vol. 15, Iss. 2, pp. 1746-1766
Open Access | Times Cited: 236
iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid Composition
Yan Xu, Xin Wen, Wen Lishu, et al.
PLoS ONE (2014) Vol. 9, Iss. 8, pp. e105018-e105018
Open Access | Times Cited: 232
iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences
Wei Chen, Pengmian Feng, Hui Yang, et al.
Oncotarget (2016) Vol. 8, Iss. 3, pp. 4208-4217
Open Access | Times Cited: 229
pLoc-mEuk: Predict subcellular localization of multi-label eukaryotic proteins by extracting the key GO information into general PseAAC
Xiang Cheng, Xuan Xiao, Kuo‐Chen Chou
Genomics (2017) Vol. 110, Iss. 1, pp. 50-58
Open Access | Times Cited: 228
iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels
Hui Ding, En-Ze Deng, Lufeng Yuan, et al.
BioMed Research International (2014) Vol. 2014, pp. 1-10
Open Access | Times Cited: 224
iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach
Xuan Xiao, Jianliang Min, Wei‐Zhong Lin, et al.
Journal of Biomolecular Structure and Dynamics (2014) Vol. 33, Iss. 10, pp. 2221-2233
Open Access | Times Cited: 212
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