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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:

Discrimination of acidic and alkaline enzyme using Chou’s pseudo amino acid composition in conjunction with probabilistic neural network model
Zaheer Ullah Khan, Maqsood Hayat, Muazzam A. Khan
Journal of Theoretical Biology (2014) Vol. 365, pp. 197-203
Closed Access | Times Cited: 154

Showing 1-25 of 154 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
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
Machine Learning in Enzyme Engineering
Stanislav Mazurenko, Zbyněk Prokop, Jiřı́ Damborský
ACS Catalysis (2019) Vol. 10, Iss. 2, pp. 1210-1223
Open Access | Times Cited: 346
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
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
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
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
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
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
MLACP: machine-learning-based prediction of anticancer peptides
Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Oncotarget (2017) Vol. 8, Iss. 44, pp. 77121-77136
Open Access | Times Cited: 242
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
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
iATC-mISF: a multi-label classifier for predicting the classes of anatomical therapeutic chemicals
Xiang Cheng, Shuguang Zhao, Xuan Xiao, et al.
Bioinformatics (2016) Vol. 33, Iss. 3, pp. 341-346
Open Access | Times Cited: 217
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
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
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
iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC
Jianhua Jia, Zi Liu, Xuan Xiao, et al.
Oncotarget (2016) Vol. 7, Iss. 23, pp. 34558-34570
Open Access | Times Cited: 174
iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC
Wang‐Ren Qiu, Bi‐Qian Sun, Xuan Xiao, et al.
Oncotarget (2016) Vol. 7, Iss. 28, pp. 44310-44321
Open Access | Times Cited: 161
iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets
Jianhua Jia, Zi Liu, Xuan Xiao, et al.
Molecules (2016) Vol. 21, Iss. 1, pp. 95-95
Open Access | Times Cited: 159
Identification of microRNA precursor with the degenerate K-tuple or Kmer strategy
Bin Liu, Longyun Fang, Shanyi Wang, et al.
Journal of Theoretical Biology (2015) Vol. 385, pp. 153-159
Closed Access | Times Cited: 156
Classification of membrane protein types using Voting Feature Interval in combination with Chou׳s Pseudo Amino Acid Composition
Farman Ali, Maqsood Hayat
Journal of Theoretical Biology (2015) Vol. 384, pp. 78-83
Closed Access | Times Cited: 154
iPhos‐PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory
Wang‐Ren Qiu, Bi‐Qian Sun, Xuan Xiao, et al.
Molecular Informatics (2016) Vol. 36, Iss. 5-6
Closed Access | Times Cited: 154
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