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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:

Effect of time and space partitioning strategies of samples on regional landslide susceptibility modelling
Kirti Khanna, Tapas R. Martha, Priyom Roy, et al.
Landslides (2021) Vol. 18, Iss. 6, pp. 2281-2294
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Identifying the essential conditioning factors of landslide susceptibility models under different grid resolutions using hybrid machine learning: A case of Wushan and Wuxi counties, China
Mingyong Liao, Haijia Wen, Ling Yang
CATENA (2022) Vol. 217, pp. 106428-106428
Closed Access | Times Cited: 96
Machine learning-based landslide susceptibility assessment with optimized ratio of landslide to non-landslide samples
Can Yang, Leilei Liu, Faming Huang, et al.
Gondwana Research (2022) Vol. 123, pp. 198-216
Closed Access | Times Cited: 94
Advanced hyperparameter optimization for improved spatial prediction of shallow landslides using extreme gradient boosting (XGBoost)
Taşkın Kavzoğlu, Alihan Teke
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 84
GIS-based landslide susceptibility zonation mapping using the analytic hierarchy process (AHP) method in parts of Kalimpong Region of Darjeeling Himalaya
Suvam Das, Shantanu Sarkar, Debi Prasanna Kanungo
Environmental Monitoring and Assessment (2022) Vol. 194, Iss. 4
Closed Access | Times Cited: 81
Fault diagnosis of photovoltaic panels using full I–V characteristics and machine learning techniques
Baojie Li, Claude Delpha, Anne Migan‐Dubois, et al.
Energy Conversion and Management (2021) Vol. 248, pp. 114785-114785
Open Access | Times Cited: 60
Uncertainties of landslide susceptibility prediction: Influences of different spatial resolutions, machine learning models and proportions of training and testing dataset
Faming Huang, Zuokui Teng, Zizheng Guo, et al.
Rock Mechanics Bulletin (2023) Vol. 2, Iss. 1, pp. 100028-100028
Open Access | Times Cited: 40
Swarm optimization based heterogeneous machine learning techniques for enhanced landslide susceptibility assessment with comprehensive uncertainty quantification
Sumon Dey, Swarup Das
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Landslide Susceptibility Assessment Using the Geographical-Optimal-Similarity Model
Yonghong Xiao, Guolong Li, Wei Lu, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1843-1843
Open Access | Times Cited: 1
Coupling Data- and Knowledge-Driven Methods for Landslide Susceptibility Mapping in Human-Modified Environments: A Case Study from Wanzhou County, Three Gorges Reservoir Area, China
Lanbing Yu, Chao Zhou, Yang Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 774-774
Open Access | Times Cited: 30
Evaluation and mapping of predicted future land use changes using hybrid models in a coastal area
Hafez Ahmad, Mohammed Abdallah, Felix Jose, et al.
Ecological Informatics (2023) Vol. 78, pp. 102324-102324
Closed Access | Times Cited: 23
Mapping of earthquake hotspot and coldspot zones for identifying potential landslide hotspot areas in the Himalayan region
Indrajit Chowdhuri, Subodh Chandra Pal, Asish Saha, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 7
Closed Access | Times Cited: 23
A comparative study of heterogeneous and homogeneous ensemble approaches for landslide susceptibility assessment in the Djebahia region, Algeria
Zakaria Matougui, Lynda Djerbal, Ramdane Bahar
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 28, pp. 40554-40580
Closed Access | Times Cited: 14
Assessing landslide susceptibility based on the random forest model and multi-source heterogeneous data
Mengxia Li, Haiying Wang, Jinlong Chen, et al.
Ecological Indicators (2024) Vol. 158, pp. 111600-111600
Open Access | Times Cited: 6
An ensemble approach of bi-variate statistical models with soft-computing techniques for GIS-based landslide susceptibility zonation in the Kalimpong region of Darjeeling Himalaya, India
Suvam Das, Shantanu Sarkar, Debi Prasanna Kanungo
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 4
A landslide susceptibility assessment method using SBAS-InSAR to optimize Bayesian network
Xinyu Gao, Bo Wang, Wen Dai, et al.
Frontiers in Environmental Science (2025) Vol. 13
Open Access
Evaluating landslide susceptibility and landscape changes due to road expansion using optimized machine learning
Saeed Alqadhi, Hoang Thi Hang, Javed Mallick, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 3
Dependence of debris flow susceptibility maps on sampling strategy with data-driven grid-based model
Ning Jiang, Fenghuan Su, Ruilong Wei, et al.
Ecological Indicators (2024) Vol. 166, pp. 112534-112534
Open Access | Times Cited: 3
Application of Machine Learning and Geospatial Techniques for Groundwater Potential Mapping
Rajarshi Saha, Nikhil Kumar Baranval, Iswar Chandra Das, et al.
Journal of the Indian Society of Remote Sensing (2022) Vol. 50, Iss. 10, pp. 1995-2010
Closed Access | Times Cited: 13
Geoenvironment factors guided coastal urban growth prospect (UGP) delineation using heuristic and machine learning models
Swati Singh, M. Jagannadha Rao, Nikhil K. Baranval, et al.
Ocean & Coastal Management (2023) Vol. 236, pp. 106496-106496
Closed Access | Times Cited: 8
The influence of sampling on landslide susceptibility mapping using artificial neural networks
Samuel Gameiro, Guilherme Garcia de Oliveira, Laurindo Antônio Guasselli
Geocarto International (2022) Vol. 38, Iss. 1, pp. 1-23
Open Access | Times Cited: 9
Landslide Susceptibility Mapping along the Anninghe Fault Zone in China using SVM and ACO-PSO-SVM Models
Zhuo Chen, Hongfu Zhou, Fei Ye, et al.
Lithosphere (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 8
Prophetical Modeling Using Limit Equilibrium Method and Novel Machine Learning Ensemble for Slope Stability Gauging in Kalimpong
Vaishnavi Bansal, Raju Sarkar
Iranian Journal of Science and Technology Transactions of Civil Engineering (2023) Vol. 48, Iss. 1, pp. 411-430
Closed Access | Times Cited: 4
Towards Artificially Intelligent Landslide Susceptibility Mapping: A Critical Review and Open Questions
Alihan Teke, Taşkın Kavzoğlu
Advances in natural and technological hazards research (2024), pp. 153-182
Closed Access | Times Cited: 1
Modelling Uncertainties and Sensitivity Analysis of Landslide Susceptibility Prediction under Different Environmental Factor Connection Methods and Machine Learning Models
Faming Huang, Haowen Xiong, Xiaoting Zhou, et al.
KSCE Journal of Civil Engineering (2023) Vol. 28, Iss. 1, pp. 45-62
Closed Access | Times Cited: 3
Numerical Simulation and Modeling of Landslide-Related Hazards Using Geospatial Technology: Selected Case Studies from India and Abroad
Shovan Lal Chattoraj, P. K. Champati Ray, S. Raghavendra, et al.
International Handbook of Disaster Research (2023), pp. 1-17
Closed Access | Times Cited: 1
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