Open Access Helper

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:

Atom Search Optimization with the Deep Transfer Learning-Driven Esophageal Cancer Classification Model
Nawaf Alharbe, Raafat M. Munshi, Manal M. Khayyat, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 9

Showing 9 citing articles:

Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic techniques
Hari Mohan, Joon Yoo, Abdul Razaque
Expert Systems with Applications (2024) Vol. 255, pp. 124838-124838
Closed Access | Times Cited: 5
An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer
Yi Nan, Shuangyang Mo, Yan Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Machine learning applications for early detection of esophageal cancer: a systematic review
Farhang Hosseini, Farkhondeh Asadi, Hassan Emami, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 12
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Hari Mohan, Joon Yoo, Syed Atif Moqurrab, et al.
Measurement (2023) Vol. 225, pp. 114059-114059
Closed Access | Times Cited: 5
Esophageal Cancer Classification in Initial Stages Using Deep and Transfer Learning
Rua Y. Aburasain
(2024), pp. 1-6
Closed Access
An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer
Yi Nan, Shuangyang Mo, Yan Zhang, et al.
Research Square (Research Square) (2024)
Open Access
Effect of neoadjuvant therapy on serum transforming growth factor-β, squamous cell carcinoma associated antigen, and prognosis in patients with locally advanced esophageal cancer
Ruirui Zhang, Wenze Tian, Huanyu Zhao, et al.
Cellular and Molecular Biology (2023) Vol. 69, Iss. 5, pp. 112-118
Open Access | Times Cited: 1
Machine Learning Applications for Early Detection of Esophageal Cancer: A Systematic Review
Farhang Hosseini, Farkhondeh Asadi, Hassan Emami, et al.
Research Square (Research Square) (2023)
Open Access
Retracted: Atom Search Optimization with the Deep Transfer Learning‐Driven Esophageal Cancer Classification Model
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access
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