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:

Assessment of rainfall-induced landslide susceptibility in Artvin, Turkey using machine learning techniques
Halil Akıncı
Journal of African Earth Sciences (2022) Vol. 191, pp. 104535-104535
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Machine learning based forest fire susceptibility assessment of Manavgat district (Antalya), Turkey
Hazan Alkan Akıncı, Halil Akıncı
Earth Science Informatics (2023) Vol. 16, Iss. 1, pp. 397-414
Closed Access | Times Cited: 51

A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment
Rana Muhammad Adnan Ikram, Atefeh Ahmadi Dehrashid, Binqiao Zhang, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 5, pp. 1717-1743
Closed Access | Times Cited: 44

Comprehensive risk assessment for identifying suitable residential zones in Manavgat, Mediterranean Region
Sedat Doğan, Cem Kılıçoğlu, Halil Akıncı, et al.
Evaluation and Program Planning (2024) Vol. 106, pp. 102465-102465
Closed Access | Times Cited: 17

Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach
Muzaffer Can İban, Süleyman Sefa Bilgilioğlu
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 6, pp. 2243-2270
Closed Access | Times Cited: 34

Comparative Analysis of Tree-Based Ensemble Learning Algorithms for Landslide Susceptibility Mapping: A Case Study in Rize, Turkey
Ayşe Yavuz Özalp, Halil Akıncı, Mustafa Zeybek
Water (2023) Vol. 15, Iss. 14, pp. 2661-2661
Open Access | Times Cited: 26

Analysis of Geological Hazard Susceptibility of Landslides in Muli County Based on Random Forest Algorithm
Xiaoyi Wu, Yuanbao Song, Wei Chen, et al.
Sustainability (2023) Vol. 15, Iss. 5, pp. 4328-4328
Open Access | Times Cited: 24

Comparison of tree-based ensemble learning algorithms for landslide susceptibility mapping in Murgul (Artvin), Turkey
Ziya Usta, Halil Akıncı, Alper Tunga Akın
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1459-1481
Open Access | Times Cited: 13

Effect of landslide spatial representation and raster resolution on the landslide susceptibility assessment
Shuo Yang, Deying Li, Yiqing Sun, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 4
Open Access | Times Cited: 12

Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1

Determining the suitable settlement areas in Alanya with GIS-based site selection analyses
Sedat Doğan, Cem Kılıçoğlu, Halil Akıncı, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 11, pp. 29180-29189
Closed Access | Times Cited: 31

Landslide Susceptibility Mapping in a Mountainous Area Using Machine Learning Algorithms
Himan Shahabi, Reza Ahmadi, Mohsen Alizadeh, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3112-3112
Open Access | Times Cited: 20

Influences of non-landslide sample selection strategies on landslide susceptibility mapping by machine learning
Hongqiang Dou, Junbin He, Siyi Huang, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 19

Comparison of diverse machine learning algorithms for forest fire susceptibility mapping in Antalya, Türkiye
Hazan Alkan Akıncı, Halil Akıncı, Mustafa Zeybek
Advances in Space Research (2024) Vol. 74, Iss. 2, pp. 647-667
Closed Access | Times Cited: 8

Novel ensemble of deep learning neural network and support vector machine for landslide susceptibility mapping in Tehri region, Garhwal Himalaya
Sunil Saha, Anik Saha, Tusar Kanti Hembram, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 17018-17043
Closed Access | Times Cited: 23

Deformation and failure mechanism of colluvial landslide under sustained rainfall-a case study of Xinzhan landslide in Tongzi County, China
Ke Zhou, Hong Wang, Jianxing Liao, et al.
Alexandria Engineering Journal (2023) Vol. 71, pp. 89-103
Open Access | Times Cited: 14

Application of machine learning in the assessment of landslide susceptibility: A case study of mountainous eastern Mediterranean region, Syria
Hazem Ghassan Abdo, Sahar Mohammed Richi
Journal of King Saud University - Science (2024) Vol. 36, Iss. 5, pp. 103174-103174
Open Access | Times Cited: 5

Investigating the efficacy of physics-based metaheuristic algorithms in combination with explainable ensemble machine-learning models for landslide susceptibility mapping
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Rizwan Ali Naqvi, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access

A landslide susceptibility modeling method using an optimal parameters-based geographical detector
Xiaokang Liu, Shuai Shao, Shengjun Shao, et al.
Advances in Space Research (2025)
Closed Access

Utilising Machine Learning Approaches for Enhanced Landslide Susceptibility Mapping in Sikkim, India
Sujit Kumar Roy, Sumon Dey, Jayanta Das, et al.
Geological Journal (2025)
Closed Access

Landslide Susceptibility Assessment Using Hybrid Method of Best-first Decision Tree and Machine Learning Ensembles
Weipeng Li, Jianguo Wang, Linhai Li, et al.
KSCE Journal of Civil Engineering (2025), pp. 100199-100199
Open Access

Evaluation of Land Suitability for Olive (Olea europaea L.) Cultivation Using the Random Forest Algorithm
Ayşe Yavuz Özalp, Halil Akıncı
Agriculture (2023) Vol. 13, Iss. 6, pp. 1208-1208
Open Access | Times Cited: 9

Machine learning algorithms for merging satellite-based precipitation products and their application on meteorological drought monitoring over Kenya
Suravi Ghosh, Jianzhong Lu, Priyanko Das, et al.
Climate Dynamics (2023) Vol. 62, Iss. 1, pp. 141-163
Closed Access | Times Cited: 7

Landslide susceptibility prediction using machine learning and remote sensing: Case study in Thua Thien Hue province, Vietnam
Huu Duy Nguyen, Quoc Huy Nguyen, Quan Vu Viet Du, et al.
Geological Journal (2023) Vol. 59, Iss. 2, pp. 636-658
Open Access | Times Cited: 7

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