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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:

ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations
Mst. Shamima Khatun, Md Mehedi Hasan, Watshara Shoombuatong, et al.
Journal of Computer-Aided Molecular Design (2020) Vol. 34, Iss. 12, pp. 1229-1236
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

ToxinPred2: an improved method for predicting toxicity of proteins
Neelam Sharma, Leimarembi Devi Naorem, Shipra Jain, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 156
Machine learning for antimicrobial peptide identification and design
Fangping Wan, Felix Wong, James J. Collins, et al.
Nature Reviews Bioengineering (2024) Vol. 2, Iss. 5, pp. 392-407
Closed Access | Times Cited: 42
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning
Md Mehedi Hasan, Md. Ashad Alam, Watshara Shoombuatong, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 77
STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction
Shaherin Basith, Gwang Lee, Balachandran Manavalan
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 72
Improved prediction and characterization of anticancer activities of peptides using a novel flexible scoring card method
Phasit Charoenkwan, Wararat Chiangjong, Vannajan Sanghiran Lee, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 66
TPpred-ATMV: therapeutic peptide prediction by adaptive multi-view tensor learning model
Ke Yan, Hongwu Lv, Yichen Guo, et al.
Bioinformatics (2022) Vol. 38, Iss. 10, pp. 2712-2718
Closed Access | Times Cited: 49
PrMFTP: Multi-functional therapeutic peptides prediction based on multi-head self-attention mechanism and class weight optimization
Wenhui Yan, Wending Tang, Lihua Wang, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 9, pp. e1010511-e1010511
Open Access | Times Cited: 30
AptaNet as a deep learning approach for aptamer–protein interaction prediction
Neda Emami, Reza Ferdousi
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 39
PreTP-Stack: Prediction of Therapeutic Peptide Based on the Stacked Ensemble Learning
Ke Yan, Hongwu Lv, Jie Wen, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 1337-1344
Closed Access | Times Cited: 27
MPMABP: A CNN and Bi-LSTM-Based Method for Predicting Multi-Activities of Bioactive Peptides
You Li, Xueyong Li, Yuewu Liu, et al.
Pharmaceuticals (2022) Vol. 15, Iss. 6, pp. 707-707
Open Access | Times Cited: 23
Critical evaluation of web-based DNA N6-methyladenine site prediction tools
Md Mehedi Hasan, Watshara Shoombuatong, Hiroyuki Kurata, et al.
Briefings in Functional Genomics (2020) Vol. 20, Iss. 4, pp. 258-272
Closed Access | Times Cited: 37
BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria
Robson Parmezan Bonidia, Anderson P. Avila-Santos, Breno L. S. de Almeida, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 21
MultiFeatVotPIP: a voting-based ensemble learning framework for predicting proinflammatory peptides
Chaorui Yan, Aoyun Geng, Zhuoyu Pan, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 4
NeuroCNN_GNB: an ensemble model to predict neuropeptides based on a convolution neural network and Gaussian naive Bayes
Di Liu, Zhengkui Lin, Cangzhi Jia
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 9
PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features
Andi Nur Nilamyani, Firda Nurul Auliah, Mohammad Ali Moni, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 5, pp. 2704-2704
Open Access | Times Cited: 18
Bioinformatics and bioactive peptides from foods: Do they work together?
Anna Iwaniak, Piotr Mińkiewicz, Małgorzata Darewicz
Advances in food and nutrition research (2024), pp. 35-111
Closed Access | Times Cited: 2
IPPF-FE: an integrated peptide and protein function prediction framework based on fused features and ensemble models
Han Yu, Xiaozhou Luo
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 12
TP-MV: Therapeutic Peptides Prediction by Multi-view Learning
Ke Yan, Hongwu Lv, Jie Wen, et al.
Current Bioinformatics (2021) Vol. 17, Iss. 2, pp. 174-183
Closed Access | Times Cited: 14
MFPPDB: a comprehensive multi-functional plant peptide database
Yaozu Yang, WU Hong-wei, Yu Gao, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 4
Hierarchical representation for PPI sites prediction
Michela Quadrini, Sebastian Daberdaku, Carlo Ferrari
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Identifying blood‐brain barrier peptides by using amino acids physicochemical properties and features fusion method
Hongliang Zou
Peptide Science (2021) Vol. 114, Iss. 2
Closed Access | Times Cited: 9
IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations
Md Mehedi Hasan, Md. Ashad Alam, Watshara Shoombuatong, et al.
Journal of Computer-Aided Molecular Design (2021) Vol. 35, Iss. 3, pp. 315-323
Closed Access | Times Cited: 8
PUP-Fuse: Prediction of Protein Pupylation Sites by Integrating Multiple Sequence Representations
Firda Nurul Auliah, Andi Nur Nilamyani, Watshara Shoombuatong, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 4, pp. 2120-2120
Open Access | Times Cited: 8
In-silico identification of subunit vaccine candidates against lung cancer-associated oncogenic viruses
Anjali Lathwal, Rajesh Kumar, Gajendra P. S. Raghava
Computers in Biology and Medicine (2021) Vol. 130, pp. 104215-104215
Closed Access | Times Cited: 7
Prediction of serine phosphorylation sites mapping on Schizosaccharomyces Pombe by fusing three encoding schemes with the random forest classifier
Samme Amena Tasmia, Md. Kaderi Kibria, Khanis Farhana Tuly, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5
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