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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:

Developing and validating a prediction model for lymphedema detection in breast cancer survivors
Xiaoxia Wei, Qian Lü, Sanli Jin, et al.
European Journal of Oncology Nursing (2021) Vol. 54, pp. 102023-102023
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

The application and use of artificial intelligence in cancer nursing: A systematic review
Siobhán O’Connor, Amy Vercell, David Wong, et al.
European Journal of Oncology Nursing (2024) Vol. 68, pp. 102510-102510
Open Access | Times Cited: 13
Swarm intelligence empowered three-stage ensemble deep learning for arm volume measurement in patients with lymphedema
Ali Shokouhifar, Mohammad Shokouhifar, Maryam Sabbaghian, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 105027-105027
Closed Access | Times Cited: 18
Feasibility and Clinical Utility of Prediction Models for Breast Cancer–Related Lymphedema Incorporating Racial Differences in Disease Incidence
Danielle H. Rochlin, Andrea V. Barrio, Sarah A. McLaughlin, et al.
JAMA Surgery (2023) Vol. 158, Iss. 9, pp. 954-954
Open Access | Times Cited: 15
Machine Learning Approaches to Predict Symptoms in People With Cancer: Systematic Review
Nahid Zeinali, Nayung Youn, Alaa Albashayreh, et al.
JMIR Cancer (2024) Vol. 10, pp. e52322-e52322
Open Access | Times Cited: 5
Artificial intelligence empowered digital health technologies in cancer survivorship care: A scoping review
Luchen Pan, Xiaoru Wu, Ying Lu, et al.
Asia-Pacific Journal of Oncology Nursing (2022) Vol. 9, Iss. 12, pp. 100127-100127
Open Access | Times Cited: 22
Evaluation of Long-Term Lymphedema Rate in Patients With Subclinical Lymphedema Diagnosed in the Preoperative Period via Bioimpedance
Zeynep Erdoğan İyigün, Tolga Özmen, Serkan İlgün, et al.
Meme sağlığı dergisi/Meme sağlığı dergisi (2025) Vol. 21, Iss. 1, pp. 40-45
Open Access
The Impact of A Self-Care Skills Strengthenıng Rehabilitation Program on Post-Surgical Lymphedema: A Randomized Controlled Tele-Health Intervention
Gülseren Maraş Baydogan, Yeliz Sürme, Mustafa Gök
European Journal of Oncology Nursing (2025), pp. 102843-102843
Closed Access
The LyBra Score: a Risk Assessment Tool to Address Targeted Prevention Against Breast Cancer – Related Lymphedema
Donato Casella, Nicola Rocco, Silvia Sordi, et al.
European Journal of Surgical Oncology (2025) Vol. 51, Iss. 7, pp. 109754-109754
Closed Access
Deep learning-based classification of lymphedema and other lower limb edema diseases using clinical images
Thanat Lewsirirat, Taravichet Titijaroonroj, Sirin Apichonbancha, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Risk prediction models for breast cancer-related lymphedema: A systematic review and meta-analysis
Aomei Shen, Xiaoxia Wei, Fei Zhu, et al.
European Journal of Oncology Nursing (2023) Vol. 64, pp. 102326-102326
Closed Access | Times Cited: 10
Comparison of machine learning models to predict the risk of breast cancer-related lymphedema among breast cancer survivors: a cross-sectional study in China
Jiali Du, Jing Yang, Qing Yang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
Prediction models for breast cancer-related lymphedema: a systematic review and critical appraisal
Lin Qiu, Tong Yang, Yongmei Jin, et al.
Systematic Reviews (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 12
Algorithm-Based Risk Identification in Patients with Breast Cancer-Related Lymphedema: A Cross-Sectional Study
Mauro Nascimben, Lorenzo Lippi, Alessandro de Sire, et al.
Cancers (2023) Vol. 15, Iss. 2, pp. 336-336
Open Access | Times Cited: 6
Application of Artificial Intelligence in Oncology Nursing
Tianji Zhou, Yuanhui Luo, Juan Li, et al.
Cancer Nursing (2023) Vol. 47, Iss. 6, pp. 436-450
Closed Access | Times Cited: 6
Machine learning techniques in breast cancer preventive diagnosis: a review
Giada Anastasi, Michela Franchini, Stefania Pieroni, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 82805-82848
Open Access | Times Cited: 2
Arm symptom pattern among breast cancer survivors with and without lymphedema: a contemporaneous network analysis
Aomei Shen, Zhongning Zhang, Jingming Ye, et al.
The Oncologist (2024) Vol. 29, Iss. 12, pp. e1656-e1668
Open Access | Times Cited: 2
Prediction of breast cancer-related lymphedema risk after postoperative radiotherapy via multivariable logistic regression analysis
Jae Sik Kim, Jin Ho Kim, Ji Hyun Chang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 10
Computer-aided diagnosis for screening of lower extremity lymphedema in pelvic computed tomography images using deep learning
Yukihiro Nomura, Masato Hoshiyama, Shinsuke Akita, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Detecting diseases in medical prescriptions using data mining methods
Sana Nazari Nezhad, Mohammad Hadi Zahedi, Elham Farahani
BioData Mining (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Development of predictive models for lymphedema by using blood tests and therapy data
Tung X. Trinh, Pham Ngoc Chien, Nguyen Van Long, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Development and validation of a risk prediction model for breast cancer-related lymphedema in postoperative patients with breast cancer
Miaomiao Li, Peipei Wu, Wanmin Qiang, et al.
European Journal of Oncology Nursing (2022) Vol. 63, pp. 102258-102258
Closed Access | Times Cited: 4
Comparison of the effects of different functional exercise sequences on lymphedema in breast cancer: protocol for an exploratory randomised controlled cross-over trial
Lin Qiu, Jing Wu, Ying‐Ying Huang, et al.
BMJ Open (2024) Vol. 14, Iss. 3, pp. e076127-e076127
Open Access
Development of a nomogram that predicts the risk for lower-extremity lymphedema following lymphadenectomy in Gynecologic Cancer
Yanan Yin, Yu Liu, Ni-Jie Jiang
Research Square (Research Square) (2024)
Open Access
Lymphatic pain in breast cancer survivors: An overview of the current evidence and recommendations
Jeanna M. Qiu, Mei R. Fu, Catherine S. Finlayson, et al.
Women and Children Nursing (2024) Vol. 2, Iss. 2, pp. 33-38
Open Access
Establishment of a nomogram prediction model for severe primary lower limb lymphedema
Xingpeng Li, Yimeng Zhang, Mengke Liu, et al.
Research Square (Research Square) (2024)
Open Access
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