Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Using CHOU'S 5-Steps Rule to Predict O-Linked Serine Glycosylation Sites by Blending Position Relative Features and Statistical Moment
Muhammad Aizaz Akmal, Waqar Hussain, Nouman Rasool, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 18, Iss. 5, pp. 2045-2056
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Evaluating machine learning methodologies for identification of cancer driver genes
Sharaf J. Malebary, Yaser Daanial Khan
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 66
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
Identification of Antimicrobial Peptides Using Chou’s 5 Step Rule
Sharaf J. Malebary, Yaser Daanial Khan
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 67, Iss. 3, pp. 2863-2881
Open Access | Times Cited: 35
HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature selection approach
Nhat Truong Pham, Ying Zhang, Rajan Rakkiyappan, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108859-108859
Closed Access | Times Cited: 5
ORI-Deep: improving the accuracy for predicting origin of replication sites by using a blend of features and long short-term memory network
Mahwish Shahid, M. Ilyas, Waqar Hussain, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 16
Hemolytic-Pred: A machine learning-based predictor for hemolytic proteins using position and composition-based features
Gulnaz Perveen, Fahad Alturise, Tamim Alkhalifah, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 9
BBB-PEP-prediction: improved computational model for identification of blood–brain barrier peptides using blending position relative composition specific features and ensemble modeling
Ansar Naseem, Fahad Alturise, Tamim Alkhalifah, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Prediction of leukemia peptides using convolutional neural network and protein compositions
Seher Ansar Khawaja, Muhammad Shoaib Farooq, Kashif Ishaq, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
mHPpred: Accurate identification of peptide hormones using multi-view feature learning
Shaherin Basith, Vinoth Kumar Sangaraju, Balachandran Manavalan, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109297-109297
Closed Access | Times Cited: 2
The Development of Gordon Life Science Institute: Its Driving Force and Accomplishments
Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 04, pp. 202-217
Open Access | Times Cited: 19
Identification of stress response proteins through fusion of machine learning models and statistical paradigms
Ebraheem Alzahrani, Wajdi Alghamdi, Malik Zaka Ullah, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 14
m1A-pred: Prediction of Modified 1-methyladenosine Sites in RNA Sequences through Artificial Intelligence
Muhammad Taseer Suleman, Yaser Daanial Khan
Combinatorial Chemistry & High Throughput Screening (2022) Vol. 25, Iss. 14, pp. 2473-2484
Closed Access | Times Cited: 9
pLoc_Deep-mHum: Predict Subcellular Localization of Human Proteins by Deep Learning
Yutao Shao, Xinxin Liu, Zhe Lü, et al.
Natural Science (2020) Vol. 12, Iss. 07, pp. 526-551
Open Access | Times Cited: 14
iTAGPred: A Two-Level Prediction Model for Identification of Angiogenesis and Tumor Angiogenesis Biomarkers
Khalid Allehaibi, Yaser Daanial Khan, Sher Afzal Khan
Applied Bionics and Biomechanics (2021) Vol. 2021, pp. 1-15
Open Access | Times Cited: 11
A comprehensive tool for accurate identification of methyl-Glutamine sites
Sharaf J. Malebary, Ebraheem Alzahrani, Yaser Daanial Khan
Journal of Molecular Graphics and Modelling (2021) Vol. 110, pp. 108074-108074
Closed Access | Times Cited: 11
O-GlyThr: Prediction of human O-linked threonine glycosites using multi-feature fusion
Hua Tang, Qiang Tang, Qian Zhang, et al.
International Journal of Biological Macromolecules (2023) Vol. 242, pp. 124761-124761
Closed Access | Times Cited: 4
Promising Compounds for Treatment of Covid-19
Yasir Daanial Khan, Muhammad Sohaib Roomi
VAWKUM Transactions on Computer Sciences (2020) Vol. 8, Iss. 1, pp. 1-8
Closed Access | Times Cited: 11
pLoc_Deep-mEuk: Predict Subcellular Localization of Eukaryotic Proteins by Deep Learning
Yutao Shao, Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 06, pp. 400-428
Open Access | Times Cited: 10
AntiFlamPred: An Anti-Inflammatory Peptide Predictor for Drug Selection Strategies
Fahad Alotaibi, Muhammad Attique, Yaser Daanial Khan
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 69, Iss. 1, pp. 1039-1055
Open Access | Times Cited: 8
Noah’s Ark and Internet Institutes: When and Why?
Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 07, pp. 470-481
Open Access | Times Cited: 5
The Chemical Mechanism of Pestilences or Coronavirus Disease 2019 (COVID-19)
Dongdong Zhang, Lin Fang, Li Wang, et al.
Natural Science (2020) Vol. 12, Iss. 11, pp. 717-725
Open Access | Times Cited: 5
The Pandemic Pestilences and Internet Institutes
Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 07, pp. 495-515
Open Access | Times Cited: 4
The Significant and Profound Impacts of Chou’s 5-Steps Rule
Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 09, pp. 633-637
Open Access | Times Cited: 4
Deep attention based Proto-oncogene prediction and Oncogene transition possibility detection using moments and position based amino acid features
M Vijayalakshmi, M. Vallinayagi
Scientific and technical journal of information technologies mechanics and optics (2024) Vol. 24, Iss. 1, pp. 101-111
Open Access
DEL-Thyroid: deep ensemble learning framework for detection of thyroid cancer progression through genomic mutation
Asghar Ali Shah, Ali Daud, Amal Bukhari, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access
Page 1 - Next Page

Scroll to top