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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:

pSSbond-PseAAC: Prediction of disulfide bonding sites by integration of PseAAC and statistical moments
Yaser Daanial Khan, Mehreen Jamil, Waqar Hussain, et al.
Journal of Theoretical Biology (2018) Vol. 463, pp. 47-55
Closed Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding
Nguyen Quoc Khanh Le, Edward Kien Yee Yapp, Quang‐Thai Ho, et al.
Analytical Biochemistry (2019) Vol. 571, pp. 53-61
Closed Access | Times Cited: 137
SPrenylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins
Waqar Hussain, Yaser Daanial Khan, Nouman Rasool, et al.
Journal of Theoretical Biology (2019) Vol. 468, pp. 1-11
Closed Access | Times Cited: 136
iN6-Methyl (5-step): Identifying RNA N6-methyladenosine sites using deep learning mode via Chou's 5-step rules and Chou's general PseKNC
Iman Nazari, Muhammad Tahir, Hilal Tayara, et al.
Chemometrics and Intelligent Laboratory Systems (2019) Vol. 193, pp. 103811-103811
Closed Access | Times Cited: 97
iPhosH-PseAAC: Identify Phosphohistidine Sites in Proteins by Blending Statistical Moments and Position Relative Features According to the Chou's 5-Step Rule and General Pseudo Amino Acid Composition
Muhammad Awais, Waqar Hussain, Yaser Daanial Khan, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2019) Vol. 18, Iss. 2, pp. 596-610
Closed Access | Times Cited: 95
Prediction of lysine formylation sites using the composition of k-spaced amino acid pairs via Chou's 5-steps rule and general pseudo components
Zhe Ju, Shiyun Wang
Genomics (2019) Vol. 112, Iss. 1, pp. 859-866
Closed Access | Times Cited: 85
MsDBP: Exploring DNA-Binding Proteins by Integrating Multiscale Sequence Information via Chou’s Five-Step Rule
Xiuquan Du, Yanyu Diao, Heng Liu, et al.
Journal of Proteome Research (2019) Vol. 18, Iss. 8, pp. 3119-3132
Closed Access | Times Cited: 84
iN6-methylat (5-step): identifying DNA N6-methyladenine sites in rice genome using continuous bag of nucleobases via Chou’s 5-step rule
Nguyen Quoc Khanh Le
Molecular Genetics and Genomics (2019) Vol. 294, Iss. 5, pp. 1173-1182
Closed Access | Times Cited: 82
Progresses in Predicting Post-translational Modification
Kuo‐Chen Chou
International Journal of Peptide Research and Therapeutics (2019) Vol. 26, Iss. 2, pp. 873-888
Closed Access | Times Cited: 82
RAACBook: a web server of reduced amino acid alphabet for sequence-dependent inference by using Chou’s five-step rule
Lei Zheng, Shenghui Huang, Nengjiang Mu, et al.
Database (2019) Vol. 2019
Open Access | Times Cited: 68
iMotor-CNN: Identifying molecular functions of cytoskeleton motor proteins using 2D convolutional neural network via Chou's 5-step rule
Nguyen Quoc Khanh Le, Edward Kien Yee Yapp, Yu‐Yen Ou, et al.
Analytical Biochemistry (2019) Vol. 575, pp. 17-26
Closed Access | Times Cited: 67
iSulfoTyr-PseAAC: Identify Tyrosine Sulfation Sites by Incorporating Statistical Moments via Chou’s 5-steps Rule and Pseudo Components
Omar Barukab, Yaser Daanial Khan, Sher Afzal Khan, et al.
Current Genomics (2019) Vol. 20, Iss. 4, pp. 306-320
Open Access | Times Cited: 65
iMethylK-PseAAC: Improving Accuracy of Lysine Methylation Sites Identification by Incorporating Statistical Moments and Position Relative Features into General PseAAC via Chou’s 5-steps Rule
Sarah Ilyas, Waqar Hussain, Adeel Ashraf, et al.
Current Genomics (2019) Vol. 20, Iss. 4, pp. 275-292
Open Access | Times Cited: 64
iCrotoK-PseAAC: Identify lysine crotonylation sites by blending position relative statistical features according to the Chou’s 5-step rule
Sharaf J. Malebary, Muhammad Safi ur Rehman, Yaser Daanial Khan
PLoS ONE (2019) Vol. 14, Iss. 11, pp. e0223993-e0223993
Open Access | Times Cited: 62
Optimization of serine phosphorylation prediction in proteins by comparing human engineered features and deep representations
Sheraz Naseer, Waqar Hussain, Yaser Daanial Khan, et al.
Analytical Biochemistry (2020) Vol. 615, pp. 114069-114069
Closed Access | Times Cited: 58
iHyd-PseAAC (EPSV): Identifying Hydroxylation Sites in Proteins by Extracting Enhanced Position and Sequence Variant Feature via Chou's 5- Step Rule and General Pseudo Amino Acid Composition
Asma Ehsan, Muhammad Khalid Mahmood, Yaser Daanial Khan, et al.
Current Genomics (2019) Vol. 20, Iss. 2, pp. 124-133
Open Access | Times Cited: 56
CanLect-Pred: A Cancer Therapeutics Tool for Prediction of Target Cancerlectins Using Experiential Annotated Proteomic Sequences
Ahmad Hassan Butt, Yaser Daanial Khan
IEEE Access (2019) Vol. 8, pp. 9520-9531
Open Access | Times Cited: 56
Identification of Lysine Carboxylation Sites in Proteins by Integrating Statistical Moments and Position Relative Features via General PseAAC
Saba Amanat, Adeel Ashraf, Waqar Hussain, et al.
Current Bioinformatics (2019) Vol. 15, Iss. 5, pp. 396-407
Closed Access | Times Cited: 54
iGluK-Deep: computational identification of lysine glutarylation sites using deep neural networks with general pseudo amino acid compositions
Sheraz Naseer, Rao Faizan Ali, Yaser Daanial Khan, et al.
Journal of Biomolecular Structure and Dynamics (2021) Vol. 40, Iss. 22, pp. 11691-11704
Closed Access | Times Cited: 51
iPhosS(Deep)-PseAAC: Identify Phosphoserine Sites in Proteins using Deep Learning on General Pseudo Amino Acid Compositions via Modified 5-Steps Rule
Sheraz Naseer, Waqar Hussain, Yaser Daanial Khan, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 19, Iss. 3, pp. 1703-1714
Closed Access | Times Cited: 50
ProtoPred: Advancing Oncological Research Through Identification of Proto-Oncogene Proteins
Sharaf J. Malebary, Rabia Khan, Yaser Daanial Khan
IEEE Access (2021) Vol. 9, pp. 68788-68797
Open Access | Times Cited: 49
Therapeutic effects of medicinal plants and their constituents on lung cancer, in vitro, in vivo and clinical evidence
Arghavan Memarzia, Saeideh Saadat, Fereshteh Asgharzadeh, et al.
Journal of Cellular and Molecular Medicine (2023) Vol. 27, Iss. 19, pp. 2841-2863
Open Access | Times Cited: 18
Prediction of S-Sulfenylation Sites Using Statistical Moments Based Features via CHOU’S 5-Step Rule
Ahmad Hassan Butt, Yaser Daanial Khan
International Journal of Peptide Research and Therapeutics (2019) Vol. 26, Iss. 3, pp. 1291-1301
Closed Access | Times Cited: 53
iProtease-PseAAC(2L): A two-layer predictor for identifying proteases and their types using Chou's 5-step-rule and general PseAAC
Yaser Daanial Khan, Najm Amin, Waqar Hussain, et al.
Analytical Biochemistry (2019) Vol. 588, pp. 113477-113477
Closed Access | Times Cited: 51
Identifying DNase I hypersensitive sites using multi-features fusion and F-score features selection via Chou's 5-steps rule
Yunyun Liang, Shengli Zhang
Biophysical Chemistry (2019) Vol. 253, pp. 106227-106227
Closed Access | Times Cited: 49
Sequence-based Identification of Allergen Proteins Developed by Integration of PseAAC and Statistical Moments via 5-Step Rule
Yaser Daanial Khan, Ebraheem Alzahrani, Wajdi Alghamdi, et al.
Current Bioinformatics (2020) Vol. 15, Iss. 9, pp. 1046-1055
Closed Access | Times Cited: 45
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