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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:

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

Showing 1-25 of 224 citing articles:

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
A novel features ranking metric with application to scalable visual and bioinformatics data classification
Quan Zou, Jiancang Zeng, Liujuan Cao, et al.
Neurocomputing (2015) Vol. 173, pp. 346-354
Closed Access | Times Cited: 378
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
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
pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
Jianhua Jia, Zi Liu, Xuan Xiao, et al.
Journal of Theoretical Biology (2016) Vol. 394, pp. 223-230
Closed Access | Times Cited: 315
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
iRNA-PseU: Identifying RNA pseudouridine sites.
Wei Chen, Hua Tang, Jing Ye, et al.
DOAJ (DOAJ: Directory of Open Access Journals) (2016) Vol. 5, pp. e332-e332
Closed Access | Times Cited: 284
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
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
pRNAm-PC: Predicting N6-methyladenosine sites in RNA sequences via physical–chemical properties
Zi Liu, Xuan Xiao, Dong‐Jun Yu, et al.
Analytical Biochemistry (2015) Vol. 497, pp. 60-67
Closed Access | Times Cited: 257
Pse-in-One 2.0: An Improved Package of Web Servers for Generating Various Modes of Pseudo Components of DNA, RNA, and Protein Sequences
Bin Liu, Hao Wu, Kuo‐Chen Chou
Natural Science (2017) Vol. 09, Iss. 04, pp. 67-91
Open Access | Times Cited: 252
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
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
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
Conotoxins: Chemistry and Biology
Aihua Jin, Markus Muttenthaler, Sébastien Dutertre, et al.
Chemical Reviews (2019) Vol. 119, Iss. 21, pp. 11510-11549
Closed Access | Times Cited: 209
iDHS-EL: identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework
Bin Liu, Long Ren, Kuo‐Chen Chou
Bioinformatics (2016) Vol. 32, Iss. 16, pp. 2411-2418
Closed Access | Times Cited: 208
iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide composition
Wang‐Ren Qiu, Shiyu Jiang, Zhaochun Xu, et al.
Oncotarget (2017) Vol. 8, Iss. 25, pp. 41178-41188
Open Access | Times Cited: 198
pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC
Jianhua Jia, Liuxia Zhang, Zi Liu, et al.
Bioinformatics (2016) Vol. 32, Iss. 20, pp. 3133-3141
Open Access | Times Cited: 191
iRNA(m6A)-PseDNC: Identifying N6-methyladenosine sites using pseudo dinucleotide composition
Wei Chen, Hui Ding, Xu Zhou, et al.
Analytical Biochemistry (2018) Vol. 561-562, pp. 59-65
Closed Access | Times Cited: 187
iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition
Chang-Jian Zhang, Hua Tang, Wenchao Li, et al.
Oncotarget (2016) Vol. 7, Iss. 43, pp. 69783-69793
Open Access | Times Cited: 175
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