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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:

Explainable step-wise binary classification for the susceptibility assessment of geo-hydrological hazards
Ömer Ekmekcioğlu, Kerim Koç
CATENA (2022) Vol. 216, pp. 106379-106379
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Explainable artificial intelligence in disaster risk management: Achievements and prospective futures
Saman Ghaffarian, Firouzeh Taghikhah, Holger R. Maier
International Journal of Disaster Risk Reduction (2023) Vol. 98, pp. 104123-104123
Open Access | Times Cited: 57
A systematic review of trustworthy artificial intelligence applications in natural disasters
A. S. Albahri, Yahya Layth Khaleel, Mustafa Abdulfattah Habeeb, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109409-109409
Open Access | Times Cited: 42
Landslide Susceptibility Mapping Based on Interpretable Machine Learning from the Perspective of Geomorphological Differentiation
Deliang Sun, D C Chen, Jialan Zhang, et al.
Land (2023) Vol. 12, Iss. 5, pp. 1018-1018
Open Access | Times Cited: 34
Explainable machine learning for the prediction and assessment of complex drought impacts
Beichen Zhang, Fatima K. Abu Salem, Michael J. Hayes, et al.
The Science of The Total Environment (2023) Vol. 898, pp. 165509-165509
Closed Access | Times Cited: 29
Performance comparison of landslide susceptibility mapping under multiple machine-learning based models considering InSAR deformation: a case study of the upper Jinsha River
Jiaming Yao, Xin Yao, Zheng Zhao, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 24
Rapid Landslide Extraction from High-Resolution Remote Sensing Images Using SHAP-OPT-XGBoost
Na Lin, Di Zhang, Shanshan Feng, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3901-3901
Open Access | Times Cited: 24
River ecological flow early warning forecasting using baseflow separation and machine learning in the Jiaojiang River Basin, Southeast China
Hao Chen, Saihua Huang, Yue‐Ping Xu, et al.
The Science of The Total Environment (2023) Vol. 882, pp. 163571-163571
Closed Access | Times Cited: 21
A hybrid MCDA approach for delineating sites suitable for artificial groundwater recharge using drywells
Rachid Mohamed Mouhoumed, Ömer Ekmekcioğlu, Mehmet Özger
Journal of Hydrology (2023) Vol. 620, pp. 129387-129387
Closed Access | Times Cited: 18
Refined Landslide Susceptibility Mapping by Integrating the SHAP-CatBoost Model and InSAR Observations: A Case Study of Lishui, Southern China
Zhaowei Yao, Meihong Chen, Jiewei Zhan, et al.
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12817-12817
Open Access | Times Cited: 18
Multi-hazard could exacerbate in coastal Bangladesh in the context of climate change
Mahfuzur Rahman, Shufeng Tian, Md Sakib Hasan Tumon, et al.
Journal of Cleaner Production (2024) Vol. 457, pp. 142289-142289
Closed Access | Times Cited: 7
Optimized green infrastructure planning at the city scale based on an interpretable machine learning model and multi-objective optimization algorithm: A case study of central Beijing, China
Hongyu Chen, Yuxiang Dong, Hao Li, et al.
Landscape and Urban Planning (2024) Vol. 252, pp. 105191-105191
Closed Access | Times Cited: 7
Artificial Intelligence: A new era for spatial modelling and interpreting climate-induced hazard assessment
Abhirup Dikshit, Biswajeet Pradhan, S.S. Matin, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 4, pp. 101815-101815
Open Access | Times Cited: 6
Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions
Quoc Bao Pham, Ömer Ekmekcioğlu, Sk Ajim Ali, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110429-110429
Closed Access | Times Cited: 12
Integrated Fuzzy AHP-TOPSIS Model for Assessing Managed Aquifer Recharge Potential in a Hot Dry Region: A Case Study of Djibouti at a Country Scale
Rachid Mohamed Mouhoumed, Ömer Ekmekcioğlu, Eyyup Ensar Başakın, et al.
Water (2023) Vol. 15, Iss. 14, pp. 2534-2534
Open Access | Times Cited: 12
Role of National Conditions in Occupational Fatal Accidents in the Construction Industry Using Interpretable Machine Learning Approach
Kerim Koç
Journal of Management in Engineering (2023) Vol. 39, Iss. 6
Closed Access | Times Cited: 11
Flood Susceptibility Assessment for Improving the Resilience Capacity of Railway Infrastructure Networks
Giada Varra, Renata Della Morte, Mario Tartaglia, et al.
Water (2024) Vol. 16, Iss. 18, pp. 2592-2592
Open Access | Times Cited: 4
Social vulnerability: a driving force in amplifying the overall vulnerability of protected areas to natural hazards
Saied Pirasteh, Davood Mafi-Gholami, Huxiong Li, et al.
Heliyon (2025) Vol. 11, Iss. 4, pp. e42617-e42617
Open Access
A hierarchical graph-based hybrid neural networks with a self-screening strategy for landslide susceptibility prediction in the spatial–frequency domain
Li Qiang Zhu, Changshi Yu, Y. P. Chu, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Closed Access
Prediction of suspended sediment load in Sungai Semenyih using extreme learning machines and metaheuristic optimization approach
Azlan Saleh, Mohd Asyraf Zulkifley
Journal of Environmental Management (2025) Vol. 380, pp. 124987-124987
Closed Access
Geospatial SHAP interpretability for urban road collapse susceptibility assessment: a case study in Hangzhou, China
Bofan Yu, Hui Li, Huaixue Xing, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
XAI-driven assessment of urban circular carbon economy: Using China's pilot cities as a case study
Ning Wang, H. R. Zhai, Yubing Bai, et al.
Urban Climate (2025) Vol. 61, pp. 102407-102407
Closed Access
Sensitivity analysis of indicator weights for the construction of flood vulnerability indexes: A participatory approach
Luana Lavagnoli Moreira, Franciele Maria Vanelli, Dimaghi Schwamback, et al.
Frontiers in Water (2023) Vol. 5
Open Access | Times Cited: 10
Hazard Susceptibility Mapping with Machine and Deep Learning: A Literature Review
Angelly de Jesus Pugliese Viloria, A. Folini, Daniela Carrión, et al.
Remote Sensing (2024) Vol. 16, Iss. 18, pp. 3374-3374
Open Access | Times Cited: 3
Predicting Accident Outcomes in Cross-Border Pipeline Construction Projects Using Machine Learning Algorithms
Ahmad Mammadov, Gökhan Kazar, Kerim Koç, et al.
Arabian Journal for Science and Engineering (2023) Vol. 48, Iss. 10, pp. 13771-13789
Closed Access | Times Cited: 8
Investigation of Landslide Susceptibility Decision Mechanisms in Different Ensemble-Based Machine Learning Models with Various Types of Factor Data
Jiakai Lu, Chao Ren, Weiting Yue, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13563-13563
Open Access | Times Cited: 7
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