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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:

The value of 18F-FDG PET/CT-based radiomics in predicting perineural invasion and outcome in non-metastatic colorectal cancer
Jie Ma, Dong Guo, Wenjie Miao, et al.
Abdominal Radiology (2022) Vol. 47, Iss. 4, pp. 1244-1254
Closed Access | Times Cited: 24

Showing 24 citing articles:

Radiomics in colorectal cancer patients
Riccardo Inchingolo, Cesare Maino, Roberto Cannella, et al.
World Journal of Gastroenterology (2023) Vol. 29, Iss. 19, pp. 2888-2904
Open Access | Times Cited: 26
Perineural Invasion in Cervical Cancer
Xiayi Li, Xiaojing Yang, Shuchen Lin, et al.
Cancer Letters (2025), pp. 217561-217561
Closed Access | Times Cited: 1
Clinical application of AI-based PET images in oncological patients
Jiaona Dai, Hui Wang, Yuchao Xu, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 124-142
Closed Access | Times Cited: 18
Cervical cancer-produced neuromedin-B reprograms Schwann cells to initiate perineural invasion
Xiaoyan Gao, Qi Wang, Ting Huang, et al.
Cell Death and Disease (2024) Vol. 15, Iss. 8
Open Access | Times Cited: 5
Prediction of Microsatellite Instability in Colorectal Cancer Using a Machine Learning Model Based on PET/CT Radiomics
Soyoung Kim, Jae‐Hoon Lee, Eun Jung Park, et al.
Yonsei Medical Journal (2023) Vol. 64, Iss. 5, pp. 320-320
Open Access | Times Cited: 11
Radiomics for prediction of perineural invasion in colorectal cancer: a systematic review and meta-analysis
Ning Tang, S Pan, Q Zhang, et al.
Abdominal Radiology (2025)
Closed Access
The value of radiomics and deep learning based on PET/CT in predicting perineural nerve invasion in rectal cancer
Mengzhang Jiao, Zongjing Ma, Zhaisong Gao, et al.
Abdominal Radiology (2025)
Closed Access
CT-based radiomics nomogram for the preoperative prediction of microsatellite instability and clinical outcomes in colorectal cancer: a multicentre study
Ming Li, Gang Xu, Yang Cui, et al.
Clinical Radiology (2023) Vol. 78, Iss. 10, pp. e741-e751
Closed Access | Times Cited: 9
Prognostic Significance of 18F-FDG PET/CT Radiomics in Patients With Resectable Pancreatic Ductal Adenocarcinoma Undergoing Curative Surgery
Jang Yoo, Seung Hyup Hyun, Jaeho Lee, et al.
Clinical Nuclear Medicine (2024) Vol. 49, Iss. 10, pp. 909-916
Closed Access | Times Cited: 2
Radiomics Analysis of 18F-FDG PET/CT for Prognosis Prediction in Patients with Stage III Non-Small Cell Lung Cancer Undergoing Neoadjuvant Chemoradiation Therapy Followed by Surgery
Jang Yoo, Jaeho Lee, Miju Cheon, et al.
Cancers (2023) Vol. 15, Iss. 7, pp. 2012-2012
Open Access | Times Cited: 5
Quantitative Proteomics of Maternal Blood Plasma in Isolated Intrauterine Growth Restriction
Natalia Starodubtseva, Alisa Tokareva, М. В. Волочаева, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 23, pp. 16832-16832
Open Access | Times Cited: 5
Combination of single-source dual-energy computed tomography (CT) parameters and extracellular volume fraction for predicting lymphovascular and perineural invasion in colorectal cancer
Yuting Zhang, Yurong Wen, Shenglin Li, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 14, Iss. 10, pp. 7524-7539
Open Access | Times Cited: 1
Computed Tomography-based Radiomics Nomogram for the Preoperative Prediction of Tumor Deposits and Clinical Outcomes in Colon Cancer: a Multicenter Study
Manman Li, Guodong Xu, Qiaoling Chen, et al.
Academic Radiology (2022) Vol. 30, Iss. 8, pp. 1572-1583
Closed Access | Times Cited: 7
Computed tomography-based radiomics nomogram for the pre-operative prediction of BRAF mutation and clinical outcomes in patients with colorectal cancer: a double-center study
Manman Li, Guodong Xu, Hui Zhou, et al.
British Journal of Radiology (2023) Vol. 96, Iss. 1148
Closed Access | Times Cited: 3
The value of machine learning based radiomics model in preoperative detection of perineural invasion in gastric cancer: a two-center study
Xujie Gao, Jingli Cui, Lingling Wang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 3
A different perspective on 18F-FDG PET radiomics in colorectal cancer patients: The relationship between intra & peritumoral analysis and pathological findings
Özge Vural Topuz, Ayşegül Aksu, Banu Yılmaz Özgüven
Revista Española de Medicina Nuclear e Imagen Molecular (English Edition) (2023) Vol. 42, Iss. 6, pp. 359-366
Closed Access | Times Cited: 2
Methodological evaluation of original articles on radiomics and machine learning for outcome prediction based on positron emission tomography (PET)
Julian M.M. Rogasch, Kuangyu Shi, David Kersting, et al.
Nuklearmedizin - NuclearMedicine (2023) Vol. 62, Iss. 06, pp. 361-369
Open Access | Times Cited: 2
Usefulness of dual-layer detector spectral CT multi-parameter imaging in preoperative prediction of lymphovascular invasion and perineural invasion in patients with colorectal cancer
Huiyi Yang, Qian Pu, Jianyang Yang, et al.
Research Square (Research Square) (2024)
Open Access
Radiomics in Precision Medicine for Colorectal Cancer: A Bibliometric Analysis (2013-2023)
Hao Li, Yu-Pei Zhuang, Weichen Yuan, et al.
(2024)
Closed Access
Preoperative perineural invasion in rectal cancer based on deep learning radiomics stacking nomogram: A retrospective study
Zhi-Chun Zhao, Jiaxuan Liu, Lingling Sun
Artificial Intelligence in Medical Imaging (2024) Vol. 5, Iss. 1
Open Access
A radiomics model for predicting perineural invasion in stage II-III colon cancer based on computer tomography
Tairan Guo, Bing Cheng, Yunlong Li, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access
Radiomics in precision medicine for colorectal cancer: a bibliometric analysis (2013–2023)
Hao Li, Yu-Pei Zhuang, Weichen Yuan, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
A qBOLD‐based clinical radiomics‐integrated model for predicting isocitrate dehydrogenase‐1 mutation in gliomas
Jiaxin Wu, Jun Qiu, Ying Yang, et al.
Medical Physics (2024)
Closed Access
Una perspectiva diferente sobre la radiómica con 18F-FDG-PET en pacientes con cáncer colorrectal; la relación entre el análisis intra y peritumoral y los hallazgos patológicos
Özge Vural Topuz, Ayşegül Aksu, Banu Yılmaz Özgüven
Revista Española de Medicina Nuclear e Imagen Molecular (2023) Vol. 42, Iss. 6, pp. 359-366
Closed Access
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