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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:

SEMal: Accurate protein malonylation site predictor using structural and evolutionary information
Shubhashis Roy Dipta, Ghazaleh Taherzadeh, Md. Wakil Ahmad, et al.
Computers in Biology and Medicine (2020) Vol. 125, pp. 104022-104022
Closed Access | Times Cited: 17

Showing 17 citing articles:

ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides
Sajid Ahmed, Rafsanjani Muhammod, Zahid Khan, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 68
Analysis and review of techniques and tools based on machine learning and deep learning for prediction of lysine malonylation sites in protein sequences
Shahin Ramazi, Seyed Amir Hossein Tabatabaei, Elham Khalili, et al.
Database (2024) Vol. 2024
Open Access | Times Cited: 5
Substrate and Functional Diversity of Protein Lysine Post-translational Modifications
Bingbing Hao, Kaifeng Chen, Linhui Zhai, et al.
Genomics Proteomics & Bioinformatics (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 4
CNN-Pred: Prediction of single-stranded and double-stranded DNA-binding protein using convolutional neural networks
Farnoush Manavi, Alok Sharma, Ronesh Sharma, et al.
Gene (2022) Vol. 853, pp. 147045-147045
Closed Access | Times Cited: 13
Emerging trends in post-translational modification: Shedding light on Glioblastoma multiforme
Smita Kumari, Rohan Gupta, Rashmi K. Ambasta, et al.
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2023) Vol. 1878, Iss. 6, pp. 188999-188999
Closed Access | Times Cited: 7
A convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation
Sayed Mehedi Azim, Alok Sharma, Iman Noshadi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 8
Predicting lysine methylation sites using a convolutional neural network
Austin Spadaro, Alok Sharma, Abdollah Dehzangi
Methods (2024) Vol. 226, pp. 127-132
Closed Access | Times Cited: 1
SPPPred: Sequence-Based Protein-Peptide Binding Residue Prediction Using Genetic Programming and Ensemble Learning
Shima Shafiee, Abdolhossein Fathi, Ghazaleh Taherzadeh
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 3, pp. 2029-2040
Closed Access | Times Cited: 7
Accurately predicting microbial phosphorylation sites using evolutionary and structural features
Faisal Ahmed, Abdollah Dehzangi, Md Mehedi Hasan, et al.
Gene (2022) Vol. 851, pp. 146993-146993
Closed Access | Times Cited: 5
GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier
Xin Liu, Bao Zhu, Xia-Wei Dai, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 2
iProtGly-SS: A Tool to Accurately Predict Protein Glycation Site Using Structural-Based Features
Abdollah Dehzangi, Alok Sharma, Swakkhar Shatabda
Methods in molecular biology (2022), pp. 125-134
Closed Access | Times Cited: 3
DeepPhoPred: Accurate Deep Learning Model to Predict Microbial Phosphorylation
Faisal Ahmed, Alok Sharma, Swakkhar Shatabda, et al.
Proteins Structure Function and Bioinformatics (2024)
Closed Access
Accurate Prediction of Lysine Methylation Sites Using Evolutionary and Structural-Based Information
Md. Easin Arafat, Md. Wakil Ahmad, S.M. Shovan, et al.
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 1300-1320
Open Access
Computational Prediction of N- and O-Linked Glycosylation Sites for Human and Mouse Proteins
Ghazaleh Taherzadeh, Matthew P. Campbell, Yaoqi Zhou
Methods in molecular biology (2022), pp. 177-186
Closed Access | Times Cited: 1
GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on Feature Fusion and GBDT classifier
Xin Liu, Bao Zhu, Xia-Wei Dai, et al.
Research Square (Research Square) (2023)
Open Access
LSTM_Kmal: Prediction of Malonylation Based on LSTM and Feature Confusion
Xin Liu, Xia-Wei Dai, Zhi-Ao Xu, et al.
(2023), pp. 158-164
Closed Access
Additional file 1 of GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier
Xin Liu, Bao Zhu, Xia-Wei Dai, et al.
Figshare (2023)
Open Access
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