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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:

Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques
José A. Barbero‐Aparicio, Alicia Olivares‐Gil, Juan J. Rodríguez, et al.
Information Fusion (2023) Vol. 102, pp. 102035-102035
Open Access | Times Cited: 15

Showing 15 citing articles:

Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides
Montserrat Goles, Anamaria Sanchez–Daza, Gabriel Cabas-Mora, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 15
Biophysics-based protein language models for protein engineering
Sam Gelman, Bryce Johnson, Chase R. Freschlin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 9
Navigating the landscape of enzyme design: from molecular simulations to machine learning
Jiahui Zhou, Meilan Huang
Chemical Society Reviews (2024) Vol. 53, Iss. 16, pp. 8202-8239
Open Access | Times Cited: 8
Ensemble methods and semi-supervised learning for information fusion: A review and future research directions
José Luis Garrido‐Labrador, Ana Serrano-Mamolar, Jesús Maudes, et al.
Information Fusion (2024) Vol. 107, pp. 102310-102310
Open Access | Times Cited: 6
SSLearn: A Semi-Supervised Learning library for Python
José Luis Garrido‐Labrador, Jesús Maudes, Juan J. Rodríguez, et al.
SoftwareX (2025) Vol. 29, pp. 102024-102024
Closed Access
Prediction of protein biophysical traits from limited data: a case study on nanobody thermostability through NanoMelt
Aubin Ramon, Mingyang Ni, Olga Predeina, et al.
mAbs (2025) Vol. 17, Iss. 1
Open Access
Spectral intelligent detection for aflatoxin B1 via contrastive learning based on Siamese network
Hongfei Zhu, Yifan Zhao, Qingping Gu, et al.
Food Chemistry (2024) Vol. 449, pp. 139171-139171
Closed Access | Times Cited: 4
A comprehensive evaluation method for frailty based on semi-supervised learning and transfer-learning
Jiaxi Li, Zhelong Wang, Zheng Wang, et al.
Information Fusion (2024) Vol. 111, pp. 102504-102504
Closed Access | Times Cited: 3
Breaking the data barrier: a review of deep learning techniques for democratizing AI with small datasets
Ishfaq Hussain Rather, Sushil Kumar, Amir H. Gandomi
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 3
Deep Learning-Based Leaf Image Analysis for Tomato Plant Disease Detection and Classification
Ammar Chouchane, Abdelmalik Ouamanea, El Ouanas Belabbaci, et al.
2022 IEEE International Conference on Image Processing (ICIP) (2024), pp. 2923-2929
Closed Access | Times Cited: 2
Deep-Representation-Learning-Based Classification Strategy for Anticancer Peptides
Shujaat Khan
Mathematics (2024) Vol. 12, Iss. 9, pp. 1330-1330
Open Access | Times Cited: 1
Ensemble Learning with Supervised Methods Based on Large-Scale Protein Language Models for Protein Mutation Effects Prediction
Yang Qu, Zitong Niu, Qiaojiao Ding, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 22, pp. 16496-16496
Open Access | Times Cited: 3
Improved Deep Learning Model for Workpieces of Rectangular Pipeline Surface Defect Detection
Changxing Chen, Afizan Azman
Computers (2024) Vol. 13, Iss. 1, pp. 30-30
Open Access
Exploration of Deep Learning and Transfer Learning in Bioinformatics
Yash Mahajan, Muskan Sharma
Advances in bioinformatics and biomedical engineering book series (2024), pp. 217-237
Closed Access
Automated Question Generation System Using NLP
Devraj Anchan, Gautam Malpani, Jemish Patel, et al.
Lecture notes in networks and systems (2024), pp. 265-275
Closed Access
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