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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:

Discriminating the single-cell gene regulatory networks of human pancreatic islets: A novel deep learning application
Turki Turki, Y‐h. Taguchi
Computers in Biology and Medicine (2021) Vol. 132, pp. 104257-104257
Open Access | Times Cited: 11

Showing 11 citing articles:

Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review
Zainab Jan, Farah El Assadi, Alaa Abd‐Alrazaq, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44248-e44248
Open Access | Times Cited: 15
A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks
Sumaya Alghamdi, Turki Turki
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
PDD-Net: Plant Disease Diagnoses Using Multilevel and Multiscale Convolutional Neural Network Features
Hamed A. Alghamdi, Turki Turki
Agriculture (2023) Vol. 13, Iss. 5, pp. 1072-1072
Open Access | Times Cited: 11
Inference on the structure of gene regulatory networks
Yue Wang, Zikun Wang
Journal of Theoretical Biology (2022) Vol. 539, pp. 111055-111055
Open Access | Times Cited: 15
PredMHC: An Effective Predictor of Major Histocompatibility Complex Using Mixed Features
Dong Chen, Yanjuan Li
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 6
End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images
Turki Turki, Anmar Al-Sharif, Y‐h. Taguchi
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 3
Recent Developments in Islet Biology: A Review With Patient Perspectives
Lahari Basu, Vriti Bhagat, Ma. Enrica Angela Ching, et al.
Canadian Journal of Diabetes (2022) Vol. 47, Iss. 2, pp. 207-221
Open Access | Times Cited: 2
CCDC134 as a Prognostic-Related Biomarker in Breast Cancer Correlating With Immune Infiltrates
Zhijian Huang, Linhui Yang, Jian Chen, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 2
End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images
Turki Turki, Anmar Al-Sharif, Y‐h. Taguchi
Lecture notes in computer science (2021), pp. 343-353
Open Access | Times Cited: 1
A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks
Sumaya Alghamdi, Turki Turki
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review (Preprint)
Zainab Jan, Farah El Assadi, Alaa Abd‐Alrazaq, et al.
(2022)
Open Access
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