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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:

Feature Attribution Analysis to Quantify the Impact of Oceanographic and Maneuverability Factors on Vessel Shaft Power Using Explainable Tree-Based Model
Dong‐Hyun Kim, Melia Putri Handayani, Sang-Bong Lee, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1072-1072
Open Access | Times Cited: 10

Showing 10 citing articles:

Predictive analysis of fuel oil consumption in vessels: interpretable modelling with emphasis on load conditions
Melia Putri Handayani, Dong‐Hyun Kim, Sang-Bong Lee, et al.
Maritime Policy & Management (2025), pp. 1-24
Closed Access
Navigating Energy Efficiency: A Multifaceted Interpretability of Fuel Oil Consumption Prediction in Cargo Container Vessel Considering the Operational and Environmental Factors
Melia Putri Handayani, Hyunju Kim, Sang-Bong Lee, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 11, pp. 2165-2165
Open Access | Times Cited: 9
Sustainable Development Goal 14: Explainable AI (XAI) for Ocean Health
Wasswa Shafik, Bandar Seri Begawan, Brunei Darussalam
(2024), pp. 167-198
Closed Access | Times Cited: 2
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
EXPLAINING XGBOOST PREDICTIONS WITH SHAP VALUE: A COMPREHENSIVE GUIDE TO INTERPRETING DECISION TREE-BASED MODELS
Serap Ergün
New Trends in Computer Sciences (2023) Vol. 1, Iss. 1, pp. 19-31
Open Access | Times Cited: 4
Revealing relationships between levels of air quality and walkability using explainable artificial intelligence techniques
Joonsik Jo, Minje Choi, Juhyeon Kwak, et al.
Clean Technologies and Environmental Policy (2024)
Closed Access | Times Cited: 1
Revealing relationships between levels of air quality and walkability using explainable artificial intelligence techniques
Joonsik Jo, Minje Choi, Juhyeon Kwak, et al.
Research Square (Research Square) (2024)
Open Access
Prediction of in-hospital mortality risk for patients with acute ST-elevation myocardial infarction after primary PCI based on predictors selected by GRACE score and two feature selection methods
Nan Tang, Shuang Liu, Kangming Li, et al.
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access
Predicting Bone Marrow Metastasis in Neuroblastoma: An Explainable Machine Learning Approach Using Contrast-Enhanced Computed Tomography Radiomics Features
Haoru Wang, Ling He, Xin Chen, et al.
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access
Complex analysis of the vessel's shaft
А.М. Фищенко, Anna Grinek, I. P. Boychuk
Journal of Dynamics and Vibroacoustics (2024) Vol. 10, Iss. 3, pp. 39-49
Open Access
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