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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:

Factors Predicting Surgical Effort Using Explainable Artificial Intelligence in Advanced Stage Epithelial Ovarian Cancer
Alexandros Laios, Evangelos Kalampokis, Racheal Johnson, et al.
Cancers (2022) Vol. 14, Iss. 14, pp. 3447-3447
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review
Subhan Ali, Filza Akhlaq, Ali Shariq Imran, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107555-107555
Open Access | Times Cited: 107
Artificial intelligence performance in image-based ovarian cancer identification: A systematic review and meta-analysis
He-Li Xu, Tingting Gong, Fang-Hua Liu, et al.
EClinicalMedicine (2022) Vol. 53, pp. 101662-101662
Open Access | Times Cited: 77
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study
Guangyao Cai, Fangjun Huang, Yue Gao, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 3, pp. e176-e186
Open Access | Times Cited: 17
Linked Open Government Data to Predict and Explain House Prices: The Case of Scottish Statistics Portal
Areti Karamanou, Evangelos Kalampokis, Konstantinos Tarabanis
Big Data Research (2022) Vol. 30, pp. 100355-100355
Closed Access | Times Cited: 23
PD_EBM: An Integrated Boosting Approach Based on Selective Features for Unveiling Parkinson's Disease Diagnosis With Global and Local Explanations
Fahmida Khanom, Mohammad Shorif Uddin, Rafid Mostafiz
Engineering Reports (2025) Vol. 7, Iss. 1
Open Access
Explainable AI in thermal modelling enhancing precision in thermal gradient monitoring for additive manufacturing using LSTM networks
Ajmeera Kiran, Harish Kumar, S. N. Sivanandam, et al.
Thermal Science and Engineering Progress (2025), pp. 103465-103465
Closed Access
Explainable AI-based feature importance analysis for ovarian cancer classification with ensemble methods
Ashwini Kodipalli, V. Susheela Devi, Shyamala Guruvare, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access
Development of a Novel Intra-Operative Score to Record Diseases’ Anatomic Fingerprints (ANAFI Score) for the Prediction of Complete Cytoreduction in Advanced-Stage Ovarian Cancer by Using Machine Learning and Explainable Artificial Intelligence
Alexandros Laios, Evangelos Kalampokis, Racheal Johnson, et al.
Cancers (2023) Vol. 15, Iss. 3, pp. 966-966
Open Access | Times Cited: 12
The Future of AI in Ovarian Cancer Research: The Large Language Models Perspective
Alexandros Laios, Georgios Theophilou, Diederick De Jong, et al.
Cancer Control (2023) Vol. 30
Open Access | Times Cited: 11
Application of artificial intelligence in the diagnosis, treatment, and recurrence prediction of peritoneal carcinomatosis
Gui-Xia Wei, Yuwen Zhou, Zhiping Li, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e29249-e29249
Open Access | Times Cited: 3
Explainable Artificial Intelligence in the Early Diagnosis of Gastrointestinal Disease
Kwang‐Sig Lee, Eun Sun Kim
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2740-2740
Open Access | Times Cited: 15
Improved Prediction of Ovarian Cancer Using Ensemble Classifier and Shaply Explainable AI
Nihal Abuzinadah, Sarath Kumar Posa, Aisha Ahmed Alarfaj, et al.
Cancers (2023) Vol. 15, Iss. 24, pp. 5793-5793
Open Access | Times Cited: 7
Recent Applications of Explainable AI (XAI): A Systematic Literature Review
Mirka Saarela, Vili Podgorelec
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8884-8884
Open Access | Times Cited: 2
RoBERTa-Assisted Outcome Prediction in Ovarian Cancer Cytoreductive Surgery Using Operative Notes
Alexandros Laios, Evangelos Kalampokis, Marios Evangelos Mamalis, et al.
Cancer Control (2023) Vol. 30
Open Access | Times Cited: 6
Challenges of artificial intelligence in precision oncology: public-private partnerships including national health agencies as an asset to make it happen
Vinh-Phuc Luu, Matilde Fiorini, Sarah Combes, et al.
Annals of Oncology (2023) Vol. 35, Iss. 2, pp. 154-158
Open Access | Times Cited: 5
Beauty is in the explainable artificial intelligence (XAI) of the “agnostic” beholder
Alexandros Laios, Diederick De Jong, Evangelos Kalampokis
Translational Cancer Research (2023) Vol. 12, Iss. 2, pp. 226-229
Open Access | Times Cited: 4
Stratification of Length of Stay Prediction following Surgical Cytoreduction in Advanced High-Grade Serous Ovarian Cancer Patients Using Artificial Intelligence; the Leeds L-AI-OS Score
Alexandros Laios, Daniel L. D. Freitas, Gwendolyn Saalmink, et al.
Current Oncology (2022) Vol. 29, Iss. 12, pp. 9088-9104
Open Access | Times Cited: 6
A Comprehensive Survey of ArtificialIntelligence in Precision Healthcare:Shedding Light on Interpretability
Nagashruthi MK, Hemanth KS, Seyed M. Buhari
Research Square (Research Square) (2024)
Open Access
Optimizing Predictive Models and Streamlining Feature Selection Process In Oncology
Kavalvizhi Subrmanian, Ibrahima Faye, Gunasekar Thangarasu, et al.
(2024), pp. 233-238
Closed Access
Ovarian cancer data analysis using deep learning: A systematic review
Muta Tah Hira, Mohammad A. Razzaque, Mosharraf H. Sarker
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109250-109250
Open Access
Survival Dynamics in Advanced Ovarian Cancer: R2 Resection Versus No-Surgery Paths Explored
Konstantinos Pitsikakis, Diederick De Jong, Konstantinos Kitsos-Kalyvianakis, et al.
Cancer Control (2024) Vol. 31
Open Access
Survey of AI-driven techniques for ovarian cancer detection: state-of-the-art methods and open challenges
Samridhi Singh, Malti Kumari Maurya, Nagendra Singh, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access
An implementation science approach to the systematic study of access to gynecologic cancer care
David I. Shalowitz, Mary C. Schroeder, Sarah A. Birken
Gynecologic Oncology (2023) Vol. 172, pp. 78-81
Closed Access | Times Cited: 1
Explaining the Elusive Nature of a Well-Defined Threshold for Blood Transfusion in Advanced Epithelial Ovarian Cancer Cytoreductive Surgery
Alexandros Laios, Evangelos Kalampokis, Marios Evangelos Mamalis, et al.
(2023)
Open Access | Times Cited: 1
EXPLAINABLE ARTIFICIAL INTELLIGENCE THEORY IN DECISION MAKING TREATMENT OF ARITHMIA PATIENTS WITH USING DEEP LEARNING MODELS
Arius Satoni Kurniawansyah
Jurnal Rekayasa Sistem Informasi dan Teknologi (2022) Vol. 1, Iss. 1, pp. 26-41
Open Access | Times Cited: 1
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