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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:

Deep-AFPpred: identifying novel antifungal peptides using pretrained embeddings from seq2vec with 1DCNN-BiLSTM
Ritesh Sharma, Sameer Shrivastava, Sanjay Kumar Singh, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

EnDL-HemoLyt: Ensemble Deep Learning-Based Tool for Identifying Therapeutic Peptides With Low Hemolytic Activity
Ritesh Sharma, Sameer Shrivastava, Sanjay Kumar Singh, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 1896-1905
Closed Access | Times Cited: 7
Artificial Intelligence-Based Model for Predicting the Minimum Inhibitory Concentration of Antibacterial Peptides Against ESKAPEE Pathogens
Ritesh Sharma, Sameer Shrivastava, Sanjay Kumar Singh, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 1949-1958
Closed Access | Times Cited: 7
Knowledge-based Dual External Attention Network for peptide detectability prediction
Xiaocai Zhang, Hui Peng, Tao Tang, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111378-111378
Closed Access | Times Cited: 2
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
New Multi-View Feature Learning Method for Accurate Antifungal Peptide Detection
Sayeda Muntaha Ferdous, Shafayat Bin Shabbir Mugdha, Abdollah Dehzangi
Algorithms (2024) Vol. 17, Iss. 6, pp. 247-247
Open Access | Times Cited: 2
Antifungal peptides: Therapeutic potential and challenges before their commercial success
Anindita Sharma, Gursharan Singh, Jasvinder Singh Bhatti, et al.
International Journal of Biological Macromolecules (2024), pp. 137957-137957
Closed Access | Times Cited: 2
Multi-scale temporal convolutional networks and continual learning based in silico discovery of alternative antibiotics to combat multi-drug resistance
Vishakha Singh, Sameer Shrivastava, Sanjay Kumar Singh, et al.
Expert Systems with Applications (2022) Vol. 215, pp. 119295-119295
Closed Access | Times Cited: 10
Novel Arginine- and Proline-Rich Candidacidal Peptides Obtained through a Bioinformatic Approach
Tecla Ciociola, Laura Giovati, Tiziano De Simone, et al.
Antibiotics (2023) Vol. 12, Iss. 3, pp. 472-472
Open Access | Times Cited: 6
Wasp Venom Peptide (Polybia MP-1) Shows Antimicrobial Activity Against Multi Drug Resistant Bacteria Isolated from Mastitic Cow Milk
Pallavi Shah, Sameer Shrivastava, Purnima Gogoi, et al.
International Journal of Peptide Research and Therapeutics (2022) Vol. 28, Iss. 1
Closed Access | Times Cited: 8
Designing New Blood-Brain Barrier Penetrating Molecules Using Novel Hybridized Gravitational Search Algorithm and Explainable AI
Vishakha Singh, Ritesh Sharma, Sanjay Kumar Singh
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 5, pp. 2127-2138
Closed Access | Times Cited: 4
The intersection of artificial intelligence and mycology: Advancements and opportunities in fungal identification
Shiraz Khurana, Sakshi Arora
Methods in microbiology (2024), pp. 195-212
Closed Access | Times Cited: 1
MLAFP-XN: Leveraging Neural Network Model for Development of Antifungal Peptide Identification Tool
Md. Fahim Sultan, Md. Shazzad Hossain Shaon, Tasmin Karim, et al.
Heliyon (2024) Vol. 10, Iss. 18, pp. e37820-e37820
Open Access | Times Cited: 1
De novo design of Na+-activated lipopeptides with selective antifungal activity: A promising strategy for antifungal drug discovery
Nan Gao, Chunyang Fang, Pengfei Bai, et al.
International Journal of Biological Macromolecules (2024) Vol. 283, pp. 137894-137894
Closed Access | Times Cited: 1
Current Development of Data Resources and Bioinformatics Tools for Anticoronavirus Peptide
Bowen Li, Min Li, Chunying Lu, et al.
Current Medicinal Chemistry (2024) Vol. 31, Iss. 26, pp. 4079-4099
Closed Access | Times Cited: 1
Artificial Intelligence for Understanding Mechanisms of Antimicrobial Resistance and Antimicrobial Discovery
Yashaswi Dutta Gupta, Suman Bhandary
(2024), pp. 117-156
Closed Access | Times Cited: 1
Machine Learning for Antimicrobial Resistance Research and Drug Development
Shamanth A. Shankarnarayan, Joshua D. Guthrie, Daniel A. Charlebois
IntechOpen eBooks (2022)
Open Access | Times Cited: 6
Antimicrobial Peptides Prediction method based on sequence multidimensional feature embedding
Benzhi Dong, Mengna Li, Bei Jiang, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 5
Investigating the antimicrobial activity, cytotoxicity, and action mechanism of acylated and amidated derivatives of AurH1 antifungal peptide
R. Golestani, Elahe Ghods, Mosayeb Rostamian, et al.
BMC Microbiology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 1
Using Explainable AI and Genetic Algorithms to Drive the Discovery of Novel Antiviral Molecules
Vishakha Singh, Ritesh Sharma, Sushant Kumar, et al.
2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2023), pp. 348-352
Closed Access | Times Cited: 1
Attention-Aware Contrastive Learning for Predicting Peptide-HLA Binding Specificity
Pengyu Luo, Yuehan Huang, Xinyi Zhang, et al.
Lecture notes in computer science (2023), pp. 544-555
Closed Access
Classification of bioactive peptides: a comparative analysis of models and encodings
Edoardo Bizzotto, Guido Zampieri, Laura Treu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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