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:

Predicting malnutrition in gastric cancer patients using computed tomography(CT) deep learning features and clinical data
Weijia Huang, Congjun Wang, Ye Wang, et al.
Clinical Nutrition (2024) Vol. 43, Iss. 3, pp. 881-891
Open Access | Times Cited: 10

Showing 10 citing articles:

Role of artificial intelligence in predicting disease-related malnutrition - A narrative review
Daniel Antonio de Luis, Juan José López Gómez, David E. Barajas Galindo, et al.
Nutrición Hospitalaria (2025)
Open Access
Multimodal pathomics feature integration for enhanced predictive performance in gastric cancer pathology through radiomic and CNN-derived features
Lan Yan, Peng Zhao, Kangpeng Yan, et al.
Arabian Journal of Chemistry (2025), pp. 1-17
Open Access
The artificial intelligence revolution in gastric cancer management: clinical applications
Runze Li, Jingfan Li, Yuman Wang, et al.
Cancer Cell International (2025) Vol. 25, Iss. 1
Open Access
Streptococcus anginosus in the development and treatment of precancerous lesions of gastric cancer
Su-Ting Qian, Hao-Yu Zhao, Feifei Xie, et al.
World Journal of Gastrointestinal Oncology (2024) Vol. 16, Iss. 9, pp. 3771-3780
Open Access | Times Cited: 3
Accurate multiclassification and segmentation of gastric cancer based on a hybrid cascaded deep learning model with a vision transformer from endoscopic images
Ejaz Ul Haq, Yong Qin, Yuan Zhou, et al.
Information Sciences (2024) Vol. 670, pp. 120568-120568
Closed Access | Times Cited: 2
Reply-letter to the editor
Weijia Huang, Congjun Wang, Junqiang Chen
Clinical Nutrition (2024) Vol. 43, Iss. 9, pp. 2283-2284
Closed Access | Times Cited: 1
Multimodal deep learning approaches for precision oncology: a comprehensive review
Huan Yang, Minglei Yang, Jiani Chen, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
Deep learning is necessary for safety regulation in predicting malnutrition in gastric cancer patients
Linfeng Wang, Miao Pengyu
Clinical Nutrition (2024) Vol. 43, Iss. 9, pp. 2195-2195
Closed Access
Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment
Ji Wu, Jian Li, Bo Huang, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access
Review on article of preoperative prediction in chronic hepatitis B virus patients using spectral computed tomography and machine learning
Yao-Qian Yuan, Qianqian Chen
World Journal of Gastroenterology (2024) Vol. 30, Iss. 38, pp. 4239-4241
Closed Access
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