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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:

Torrential rainfall-induced landslide susceptibility assessment using machine learning and statistical methods of eastern Himalaya
Indrajit Chowdhuri, Subodh Chandra Pal, Rabin Chakrabortty, et al.
Natural Hazards (2021) Vol. 107, Iss. 1, pp. 697-722
Closed Access | Times Cited: 81

Showing 26-50 of 81 citing articles:

Landslide susceptibility modeling in a complex mountainous region of Sikkim Himalaya using new hybrid data mining approach
Abu Reza Md. Towfiqul Islam, Asish Saha, Bonosri Ghose, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 9021-9046
Closed Access | Times Cited: 30
Landslide susceptibility evaluation based on active deformation and graph convolutional network algorithm
Xianmin Wang, Aiheng Du, Fengchang Hu, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 13
An ensemble deep-learning framework for landslide susceptibility assessment using multiple blocks: a case study of Wenchuan area, China
Yange Li, Jiaming Yang, Zheng Han, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Understanding the scale effects of topographical variables on landslide susceptibility mapping in Sikkim Himalaya using deep learning approaches
Asish Saha, Subodh Chandra Pal, Indrajit Chowdhuri, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 17826-17852
Closed Access | Times Cited: 19
Assessing the effectiveness of alternative landslide partitioning in machine learning methods for landslide prediction in the complex Himalayan terrain
Muhammad Tayyib Riaz, Muhammad Basharat, Maria Teresa Brunetti
Progress in Physical Geography Earth and Environment (2022) Vol. 47, Iss. 3, pp. 315-347
Closed Access | Times Cited: 17
GIS-based landslide susceptibility zonation (LSZ) mapping of Darjeeling Himalaya, India using weights of evidence (WoE) model
Biplab Mandal, Subrata Mondal, Sujit Mandal
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 7
Closed Access | Times Cited: 11
Fuzzy Logic Regional Landslide Susceptibility Multi-Field Information Map Representation Analysis Method Constrained by Spatial Characteristics of Mining Factors in Mining Areas
Yongguo Zhang, Zhang Jin, Liang Dong
Processes (2023) Vol. 11, Iss. 4, pp. 985-985
Open Access | Times Cited: 10
Research on the Uncertainty of Landslide Susceptibility Prediction Using Various Data-Driven Models and Attribute Interval Division
Yin Xing, Yang Chen, Saipeng Huang, et al.
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2149-2149
Open Access | Times Cited: 10
A flash flood susceptibility prediction and partitioning method based on GeoDetector and random forest
Xinyue Ke, Ni Wang, Xiukai Yuan, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
A comparative evaluation of geostatistical techniques of frequency ratio (FR), Shannon Entropy (SE), and analytical hierarchy (AHP) in landslide prediction: a case study of Uttarakhand, India
M. Afshar Alam, Afzal Nadeem Siddiqui, Syed Kausar Shamim, et al.
Discover Geoscience (2025) Vol. 3, Iss. 1
Open Access
Landslide susceptibility assessment using lightweight dense residual network with emphasis on deep spatial features
Shenghua Xu, Zhuolu Wang, Jiping Liu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
How do hydrogeological and socio-economic parameters influence the likelihood of NO3− pollution and Cl− salinization? An application within the campania region (Italy)
Mojgan Bordbar, Gianluigi Busico, Stefania Stevenazzi, et al.
Natural Hazards (2025)
Open Access
Demystifying the predictive capability of advanced heterogeneous machine learning ensembles for landslide susceptibility assessment and mapping in the Eastern Himalayan Region, India
Sumon Dey, Swarup Das, Sujit Kumar Roy
Natural Hazards (2025)
Closed Access
Integrating the Combined Impact of Rainfall and Earthquakes on Landslide Susceptibility in Bhagirathi Valley of the Indian Himalayas Using Machine Learning and GIS
Neha Gupta, Debi Prasanna Kanungo, Josodhir Das
Lecture notes in civil engineering (2025), pp. 363-372
Closed Access
Novel ensemble approach for landslide susceptibility index assessment in a mountainous environment of India
Rabin Chakrabortty, Subodh Chandra Pal, Paramita Roy, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 13311-13336
Closed Access | Times Cited: 15
Landslide susceptibility assessment in Eastern Himalayas, India: a comprehensive exploration of four novel hybrid ensemble data driven techniques integrating explainable artificial intelligence approach
Sumon Dey, Swarup Das, Sujit Kumar Roy
Environmental Earth Sciences (2024) Vol. 83, Iss. 22
Closed Access | Times Cited: 3
Discussion on the tree-based machine learning model in the study of landslide susceptibility
Qiang Liu, Aiping Tang, Ziyuan Huang, et al.
Natural Hazards (2022) Vol. 113, Iss. 2, pp. 887-911
Closed Access | Times Cited: 14
Improvement of the predictive performance of landslide mapping models in mountainous terrains using cluster sampling
Muhammad Tayyib Riaz, Muhammad Basharat, Quoc Bao Pham, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 12294-12337
Closed Access | Times Cited: 13
A new avenue to improve the performance of integrated modeling for flash flood susceptibility assessment: Applying cluster algorithms
Jun Liu, Junnan Xiong, Yangbo Chen, et al.
Ecological Indicators (2022) Vol. 146, pp. 109785-109785
Open Access | Times Cited: 13
A novel landslide susceptibility optimization framework to assess landslide occurrence probability at the regional scale for environmental management
Xiaofei Sun, Linguo Yuan, Shiqi Tao, et al.
Journal of Environmental Management (2022) Vol. 322, pp. 116108-116108
Closed Access | Times Cited: 12
Landslide Susceptibility Mapping Using DIvisive ANAlysis (DIANA) and RObust Clustering Using linKs (ROCK) Algorithms, and Comparison of Their Performance
Deborah Simon Mwakapesa, Yimin Mao, Xiaoji Lan, et al.
Sustainability (2023) Vol. 15, Iss. 5, pp. 4218-4218
Open Access | Times Cited: 7
Designing grazing susceptibility to land degradation index (GSLDI) in hilly areas
Gabriel Minea, Nicu Ciobotaru, Gabriela Ioana‐Toroimac, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 11
Landslide susceptibility mapping using O-CURE and PAM clustering algorithms
Deborah Simon Mwakapesa, Xiaoji Lan, Yaser A. Nanehkaran, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 6
Geological Hazard Susceptibility Analysis and Developmental Characteristics Based on Slope Unit, Using the Xinxian County, Henan Province as an Example
Wentao Yang, Ruiqing Niu, Rongjun Si, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2457-2457
Open Access | Times Cited: 2
Application of novel framework approach for assessing rainfall induced future landslide hazard to world heritage sites in Indo-Nepal-Bhutan Himalayan region
Indrajit Chowdhuri, Subodh Chandra Pal, Asish Saha, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 17742-17776
Closed Access | Times Cited: 10

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