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:

Delta-radiomics and response to neoadjuvant treatment in locally advanced gastric cancer—a multicenter study of GIRCG (Italian Research Group for Gastric Cancer)
Maria Antonietta Mazzei, Letizia Di Giacomo, Giulio Bagnacci, et al.
Quantitative Imaging in Medicine and Surgery (2021) Vol. 11, Iss. 6, pp. 2376-2387
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Delta radiomics: a systematic review
Valerio Nardone, Alfonso Reginelli, Roberta Grassi, et al.
La radiologia medica (2021) Vol. 126, Iss. 12, pp. 1571-1583
Closed Access | Times Cited: 156

Radiomics in precision medicine for gastric cancer: opportunities and challenges
Qiuying Chen, Lu Zhang, Shuyi Liu, et al.
European Radiology (2022) Vol. 32, Iss. 9, pp. 5852-5868
Closed Access | Times Cited: 66

AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging
Fereshteh Yousefirizi, Pierre Decazes, Amine Amyar, et al.
PET Clinics (2021) Vol. 17, Iss. 1, pp. 183-212
Closed Access | Times Cited: 43

Radiomics as a New Frontier of Imaging for Cancer Prognosis: A Narrative Review
Alfonso Reginelli, Valerio Nardone, Giuliana Giacobbe, et al.
Diagnostics (2021) Vol. 11, Iss. 10, pp. 1796-1796
Open Access | Times Cited: 41

Evaluating Outcome Prediction via Baseline, End-of-Treatment, and Delta Radiomics on PET-CT Images of Primary Mediastinal Large B-Cell Lymphoma
Fereshteh Yousefirizi, Claire Gowdy, Ivan S. Klyuzhin, et al.
Cancers (2024) Vol. 16, Iss. 6, pp. 1090-1090
Open Access | Times Cited: 7

International consensus on the management of metastatic gastric cancer: step by step in the foggy landscape
Paolo Morgagni, Maria Bencivenga, Fátima Carneiro, et al.
Gastric Cancer (2024) Vol. 27, Iss. 4, pp. 649-671
Open Access | Times Cited: 6

Artificial Intelligence in Lymphoma PET Imaging
Navid Hasani, Sriram S. Paravastu, Faraz Farhadi, et al.
PET Clinics (2021) Vol. 17, Iss. 1, pp. 145-174
Open Access | Times Cited: 28

CT-based radiomics analysis in the prediction of response to neoadjuvant chemotherapy in locally advanced gastric cancer: A dual-center study
Ruirui Song, Yanfen Cui, Jialiang Ren, et al.
Radiotherapy and Oncology (2022) Vol. 171, pp. 155-163
Closed Access | Times Cited: 21

Dual Energy CT in Oncology: Benefits for Both Patients and Radiologists From an Emerging Quantitative and Functional Diagnostic Technique
Susanna Guerrini, Giulio Bagnacci, Armando Perrella, et al.
Seminars in Ultrasound CT and MRI (2023) Vol. 44, Iss. 3, pp. 205-213
Closed Access | Times Cited: 9

Application of radiomics in precision prediction of diagnosis and treatment of gastric cancer
Getao Du, Yun Zeng, Dan Chen, et al.
Japanese Journal of Radiology (2022)
Closed Access | Times Cited: 13

Diagnostic accuracy of radiomics-based machine learning for neoadjuvant chemotherapy response and survival prediction in gastric cancer patients: A systematic review and meta-analysis
Diliyaer Adili, Aibibai Mohetaer, Wenbin Zhang
European Journal of Radiology (2023) Vol. 173, pp. 111249-111249
Closed Access | Times Cited: 6

Advancement in Diagnostic Imaging of Thymic Tumors
Francesco Gentili, Ilaria Monteleone, Francesco Giuseppe Mazzei, et al.
Cancers (2021) Vol. 13, Iss. 14, pp. 3599-3599
Open Access | Times Cited: 14

The Applications of Artificial Intelligence in Digestive System Neoplasms: A Review
Shuaitong Zhang, Wei Mu, Di Dong, et al.
Health Data Science (2022) Vol. 3
Open Access | Times Cited: 8

Personalized Optimization of Systematic Prostate Biopsy Core Number Based on mpMRI Radiomics Features
Zhenlin Chen, Zhihao Li, Ruiling Dou, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1

Longitudinal CT Radiomics to Predict Progression-free Survival in Patients with Locally Advanced Gastric Cancer After Neoadjuvant Chemotherapy
Bo Wang, Xiaomeng Han, Zaixian Zhang, et al.
Academic Radiology (2024)
Closed Access | Times Cited: 1

MRI Radiomics in Prostate Cancer: A Reliability Study
Fabrizio Urraro, Valerio Nardone, Alfonso Reginelli, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 8

Which gastric cancer patients could benefit from staging laparoscopy? A GIRCG multicenter cohort study
Leonardo Solaini, Maria Bencivenga, Alessia D’Ignazio, et al.
European Journal of Surgical Oncology (2022) Vol. 48, Iss. 8, pp. 1778-1784
Closed Access | Times Cited: 6

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