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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:

Use of machine learning-based integration to develop an immune-related signature for improving prognosis in patients with gastric cancer
Jingyuan Ning, Keran Sun, Xiaoqing Fan, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11

Showing 11 citing articles:

Glycometabolism and lipid metabolism related genes predict the prognosis of endometrial carcinoma and their effects on tumor cells
Xuefen Lin, Jianfeng Zheng, Xintong Cai, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
A novel machine learning-based immune prognostic signature for improving clinical outcomes and guiding therapy in colorectal cancer: an integrated bioinformatics and experimental study
Yuanchun Zhao, Dexu Xun, Jiajia Chen, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Cellular Senescence in Hepatocellular Carcinoma: Immune Microenvironment Insights via Machine Learning and In Vitro Experiments
Xinhe Lu, Yuhang Luo, Yun Huang, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 2, pp. 773-773
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
Exploring the current landscape of single‐cell RNA sequencing applications in gastric cancer research
Wireko Andrew Awuah, Sakshi Roy, Joecelyn Kirani Tan, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 7
Open Access | Times Cited: 3
Identification of disulfidptosis-related subtypes and development of a prognosis model based on stacking framework in renal clear cell carcinoma
Peng Kun, Ning Wang, Qingyuan Liu, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 13793-13810
Closed Access | Times Cited: 6
Identification of Immune Infiltrating Cell-Related Biomarkers in Early Gastric Cancer Progression
Chenguang Ji, Hongmei Cai, Xiaoxu Jin, et al.
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access | Times Cited: 1
Identification of immune patterns in idiopathic pulmonary fibrosis patients driven by PLA2G7-positive macrophages using an integrated machine learning survival framework
Tianxi Liu, Jingyuan Ning, Xiaoqing Fan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Next generation immuno-oncology biomarkers in gastrointestinal cancer: what does the future hold?
Hassan Abushukair, Obada Ababneh, Ayah N. Al-Bzour, et al.
Expert Review of Molecular Diagnostics (2023) Vol. 23, Iss. 10, pp. 863-873
Closed Access | Times Cited: 2
Integrated Machine Learning Algorithms for Stratification of Patients with Bladder Cancer
Yuanyuan He, Haodong Wei, Siqing Liao, et al.
Current Bioinformatics (2024) Vol. 19, Iss. 10, pp. 963-976
Closed Access
The smart analysis of cell damage and cancerous prediction using information clustering model
Vinay Mallikarjunaradhya, Jinal Mistry, Ashween Ganesh, et al.
(2023), pp. 870-875
Closed Access | Times Cited: 1
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