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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:

Radiologists with MRI-based radiomics aids to predict the pelvic lymph node metastasis in endometrial cancer: a multicenter study
Bi Cong Yan, Ying Li, Hua Feng, et al.
European Radiology (2020) Vol. 31, Iss. 1, pp. 411-422
Closed Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Artificial intelligence in gynecologic cancers: Current status and future challenges – A systematic review
Munetoshi Akazawa, Kazunori Hashimoto
Artificial Intelligence in Medicine (2021) Vol. 120, pp. 102164-102164
Closed Access | Times Cited: 98
Current and Emerging Prognostic Biomarkers in Endometrial Cancer
Kelechi Njoku, Chloe E. Barr, Emma J. Crosbie
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 58
A systematic review on the use of artificial intelligence in gynecologic imaging – Background, state of the art, and future directions
Pallabi Shrestha, Bhavya Poudyal, Sepideh Yadollahi, et al.
Gynecologic Oncology (2022) Vol. 166, Iss. 3, pp. 596-605
Closed Access | Times Cited: 52
Magnetic resonance imaging-radiomics in endometrial cancer: a systematic review and meta-analysis
Violante Di Donato, Evangelos Kontopantelis, Ilaria Cuccu, et al.
International Journal of Gynecological Cancer (2023) Vol. 33, Iss. 7, pp. 1070-1076
Closed Access | Times Cited: 37
Artificial intelligence in multiparametric magnetic resonance imaging: A review
Cheng Li, Wen Li, Chenyang Liu, et al.
Medical Physics (2022) Vol. 49, Iss. 10
Closed Access | Times Cited: 34
Dynamic contrast-enhanced MRI radiomics nomogram for predicting axillary lymph node metastasis in breast cancer
Deling Song, Fei Yang, Yujiao Zhang, et al.
Cancer Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 32
MRI radiomics: A machine learning approach for the risk stratification of endometrial cancer patients
Pier Paolo Mainenti, Arnaldo Stanzione, Renato Cuocolo, et al.
European Journal of Radiology (2022) Vol. 149, pp. 110226-110226
Closed Access | Times Cited: 31
Artificial intelligence-based risk stratification, accurate diagnosis and treatment prediction in gynecologic oncology
Yuting Jiang, Chengdi Wang, Shengtao Zhou
Seminars in Cancer Biology (2023) Vol. 96, pp. 82-99
Open Access | Times Cited: 19
Developing and validating ultrasound‐based radiomics models for predicting high‐risk endometrial cancer
F. Moro, Michele Albanese, Luca Boldrini, et al.
Ultrasound in Obstetrics and Gynecology (2021) Vol. 60, Iss. 2, pp. 256-268
Closed Access | Times Cited: 38
Radiomics in Oncology, Part 2: Thoracic, Genito-Urinary, Breast, Neurological, Hematologic and Musculoskeletal Applications
Damiano Caruso, Michela Polici, Marta Zerunian, et al.
Cancers (2021) Vol. 13, Iss. 11, pp. 2681-2681
Open Access | Times Cited: 34
MRI- and Histologic-Molecular-Based Radio-Genomics Nomogram for Preoperative Assessment of Risk Classes in Endometrial Cancer
Veronica Celli, Michele Guerreri, Angelina Pernazza, et al.
Cancers (2022) Vol. 14, Iss. 23, pp. 5881-5881
Open Access | Times Cited: 25
Multisequence magnetic resonance imaging-based radiomics models for the prediction of microsatellite instability in endometrial cancer
Xiaoli Song, Hong-Jian Luo, Jialiang Ren, et al.
La radiologia medica (2023) Vol. 128, Iss. 2, pp. 242-251
Closed Access | Times Cited: 15
Application of magnetic resonance imaging radiomics in endometrial cancer: a systematic review and meta-analysis
Meng-Lin Huang, Jing Ren, Zhengyu Jin, et al.
La radiologia medica (2024) Vol. 129, Iss. 3, pp. 439-456
Closed Access | Times Cited: 6
MRI-Based Radiomic Model for Preoperative Risk stratification in Stage I Endometrial Cancer
Jingya Chen, Hailei Gu, Weimin Fan, et al.
Journal of Cancer (2020) Vol. 12, Iss. 3, pp. 726-734
Open Access | Times Cited: 33
Radiomics in cervical and endometrial cancer
Lucia Manganaro, Gabriele Maria Nicolino, Miriam Dolciami, et al.
British Journal of Radiology (2021) Vol. 94, Iss. 1125
Open Access | Times Cited: 31
Automatic segmentation of uterine endometrial cancer on multi-sequence MRI using a convolutional neural network
Yasuhisa Kurata, Mizuho Nishio, Yusaku Moribata, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 31
Fully Automated Identification of Lymph Node Metastases and Lymphovascular Invasion in Endometrial Cancer From Multi‐Parametric MRI by Deep Learning
Yida Wang, Wei Liu, Yuanyuan Lu, et al.
Journal of Magnetic Resonance Imaging (2024)
Closed Access | Times Cited: 4
Clinical study on the prediction of ALN metastasis based on intratumoral and peritumoral DCE-MRI radiomics and clinico-radiological characteristics in breast cancer
Yunxia Wang, Yiyan Shang, Yaxin Guo, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 4
Radiomic machine learning for pretreatment assessment of prognostic risk factors for endometrial cancer and its effects on radiologists' decisions of deep myometrial invasion
Satoshi Otani, Yuki Himoto, Mizuho Nishio, et al.
Magnetic Resonance Imaging (2021) Vol. 85, pp. 161-167
Open Access | Times Cited: 27
Artificial intelligence-based radiomics models in endometrial cancer: A systematic review
Lise Lecointre, Jérémy Dana, Massimo Lodi, et al.
European Journal of Surgical Oncology (2021) Vol. 47, Iss. 11, pp. 2734-2741
Open Access | Times Cited: 26
A radiogenomics application for prognostic profiling of endometrial cancer
Erling A. Høivik, Erlend Hodneland, Julie A. Dybvik, et al.
Communications Biology (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 26
Radiomics Nomogram in Assisting Lymphadenectomy Decisions by Predicting Lymph Node Metastasis in Early-Stage Endometrial Cancer
Xuefei Liu, Bi-Cong Yan, Ying Li, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 19
Normalization Strategies in Multi-Center Radiomics Abdominal MRI: Systematic Review and Meta-Analyses
Jovana Panić, Arianna Defeudis, Gabriella Balestra, et al.
IEEE Open Journal of Engineering in Medicine and Biology (2023) Vol. 4, pp. 67-76
Open Access | Times Cited: 11
Prediction of a radiomics-based nomogram for complete remission in atypical endometrial hyperplasia and early endometrial cancer patients seeking fertility preservation
Ruiqi Wang, Jingyuan Wang, Yuman Wu, et al.
Computers in Biology and Medicine (2025) Vol. 187, pp. 109764-109764
Open Access
Delta dual‑region DCE-MRI radiomics from breast masses predicts axillary lymph node response after neoadjuvant therapy for breast cancer
Qiao Zeng, Yiwen Deng, Jiang Nan, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
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