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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:

Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics
Yuming Jiang, Kangneng Zhou, Zepang Sun, et al.
Cell Reports Medicine (2023) Vol. 4, Iss. 8, pp. 101146-101146
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Advancing precision medicine: the transformative role of artificial intelligence in immunogenomics, radiomics, and pathomics for biomarker discovery and immunotherapy optimization
Luchen Chang, Jiamei Liu, Jialin Zhu, et al.
Cancer Biology and Medicine (2025), pp. 1-15
Open Access | Times Cited: 4
Artificial Intelligence in Gastrointestinal Cancer Research: Image Learning Advances and Applications
Shengyuan Zhou, Yi Xie, Xujiao Feng, et al.
Cancer Letters (2025) Vol. 614, pp. 217555-217555
Closed Access | Times Cited: 2
Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer
Zhen Han, Zhicheng Zhang, Xianqi Yang, et al.
Journal for ImmunoTherapy of Cancer (2024) Vol. 12, Iss. 5, pp. e008927-e008927
Open Access | Times Cited: 9
Safety and efficacy of PD-1 inhibitor (sintilimab) combined with transarterial chemoembolization as the initial treatment in patients with intermediate-stage hepatocellular carcinoma beyond up-to-seven criteria
Lixing Li, Xin Xu, Wentao Wang, et al.
Journal for ImmunoTherapy of Cancer (2025) Vol. 13, Iss. 1, pp. e010035-e010035
Open Access | Times Cited: 1
Advancing gastric cancer treatment: nanotechnology innovations and future prospects
Tengfei Yang, Lin Guo
Cell Biology and Toxicology (2024) Vol. 40, Iss. 1
Open Access | Times Cited: 7
Machine learning-assisted washing-free detection of extracellular vesicles by target recycling amplification based fluorescent aptasensor for accurate diagnosis of gastric cancer
Xinrui Gu, Zeyu Fan, Luying Lu, et al.
Talanta (2025) Vol. 287, pp. 127506-127506
Closed Access
A large histological images dataset of gastric cancer with tumour microenvironment annotation for AI
Shenghan Lou, Jianxin Ji, Huiying Li, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Comprehensive proteomic analysis and multidimensional model construction of peritoneal metastasis in gastric cancer
Xiangpan Li, Jiatong Lu, Fangfang Chen, et al.
Cancer Letters (2025), pp. 217509-217509
Closed Access
Integrating manual annotation with deep transfer learning and radiomics for vertebral fracture analysis
Jing Wang, Zhirui Dong, Haoqiang He, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
Mapping the landscape of gastric cancer immunotherapy: Bibliometric insights into advances and hotspots
Zhen Yuan, Jing-Hang Wang, Hao Cui, et al.
World Journal of Gastrointestinal Oncology (2025) Vol. 17, Iss. 3
Closed Access
Deep Learning in Oncology: Transforming Cancer Diagnosis, Prognosis, and Treatment
Thaís Santos Anjo Reis
Emerging Trends in Drugs Addictions and Health (2025), pp. 100171-100171
Open Access
Multimodal Artificial Intelligence‐Based Virtual Biopsy for Diagnosing Abdominal Lavage Cytology‐Positive Gastric Cancer
Pingan Ding, Jiaxuan Yang, Honghai Guo, et al.
Advanced Science (2025)
Open Access
Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study
Yuan Gui, Wei Hu, Jialiang Ren, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
An Overview of Predictive Biomarkers and Detection Approaches for Immunotherapy Response in GI Malignancies
Xinyu Chai, Yiwen Zhang, Zhihui Shi, et al.
Journal of Gastroenterology and Hepatology (2025)
Closed Access
A machine learning model utilizing CT radiomics features and peripheral blood inflammatory markers predicts the prognosis of patients with unresectable esophageal squamous cell carcinoma undergoing PD-1 inhibitor combined with concurrent chemoradiotherapy
Xudong Liu, Fei Gao, Shusheng Wu, et al.
Journal of Cancer (2025) Vol. 16, Iss. 6, pp. 2001-2014
Open Access
Development and Validation of a Multi‐Omics Model Integrating MR Radiomics and Immune Scores for Prognostic Prediction in Locally Advanced Nasopharyngeal Carcinoma
Zhun Zhong, Feng Xiao, Dong Kuang, et al.
Flavour and Fragrance Journal (2025)
Closed Access
Predictive biomarkers for immunotherapy in gastric cancer
Sijia Li, Huayuan Liang, Guoxin Li
Journal of Cancer Metastasis and Treatment (2025)
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
Integrative deep learning and radiomics analysis for ovarian tumor classification and diagnosis: a multicenter large-sample comparative study
Yi Zhou, Yayang Duan, Qiwei Zhu, et al.
La radiologia medica (2025)
Closed Access
A comprehensive study on the radiomic score derived from perineural invasion in gastric cancer and its correlation with the overall survival of patients
Yueling Wang, Xuhui Fan, Zai Luo, et al.
La radiologia medica (2025)
Closed Access
Development and verification of a radiomics model to forecast Ki67 index and prognosis in advanced gastric tubular adenocarcinoma
Jiatong Lu, Yong Xiao, Qiushuang Wang, et al.
BMC Gastroenterology (2025) Vol. 25, Iss. 1
Open Access
Beyond Biomarkers: Machine Learning-Driven Multiomics for Personalized Medicine in Gastric Cancer
J. Daniel, Canfeng Fan, Tomoya Sano, et al.
Journal of Personalized Medicine (2025) Vol. 15, Iss. 5, pp. 166-166
Open Access
Mass Spectrometry‐Based Proteomics for Next‐Generation Precision Oncology
Kuen‐Tyng Lin, Gul Muneer, Peirong Huang, et al.
Mass Spectrometry Reviews (2025)
Closed Access
Gastrointestinal tumor personalized immunotherapy: an integrated analysis from molecular genetics to imaging biomarkers
Jian Guan, Xiaoling Gong, Hanjiang Zeng, et al.
Therapeutic Advances in Gastroenterology (2025) Vol. 18
Open Access
Development and validation of machine learning models for predicting no. 253 lymph node metastasis in left-sided colorectal cancer using clinical and CT-based radiomic features
Hongwei Zhang, Kexin Wang, Shurong Liu, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
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