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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 1-25 of 81 citing articles:

Application of novel data-mining technique based nitrate concentration susceptibility prediction approach for coastal aquifers in India
Subodh Chandra Pal, Dipankar Ruidas, Asish Saha, et al.
Journal of Cleaner Production (2022) Vol. 346, pp. 131205-131205
Closed Access | Times Cited: 79
Landslide susceptibility modeling by interpretable neural network
Khalid Youssef, Kun Shao, Seulgi Moon, et al.
Communications Earth & Environment (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 44
Modelling multi-hazard threats to cultural heritage sites and environmental sustainability: The present and future scenarios
Asish Saha, Subodh Chandra Pal, M. Santosh, et al.
Journal of Cleaner Production (2021) Vol. 320, pp. 128713-128713
Closed Access | Times Cited: 94
Flash-flood hazard susceptibility mapping in Kangsabati River Basin, India
Rabin Chakrabortty, Subodh Chandra Pal, Fatemeh Rezaie, et al.
Geocarto International (2021) Vol. 37, Iss. 23, pp. 6713-6735
Closed Access | Times Cited: 78
Threats of climate change and land use patterns enhance the susceptibility of future floods in India
Subodh Chandra Pal, Indrajit Chowdhuri, Biswajit Das, et al.
Journal of Environmental Management (2021) Vol. 305, pp. 114317-114317
Closed Access | Times Cited: 78
Flood susceptibility mapping using meta-heuristic algorithms
Alireza Arabameri, Amir Seyed Danesh, M. Santosh, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 949-974
Open Access | Times Cited: 57
A coupled novel framework for assessing vulnerability of water resources using hydrochemical analysis and data-driven models
Abu Reza Md. Towfiqul Islam, Subodh Chandra Pal, Rabin Chakrabortty, et al.
Journal of Cleaner Production (2022) Vol. 336, pp. 130407-130407
Closed Access | Times Cited: 42
Comparisons of Convolutional Neural Network and Other Machine Learning Methods in Landslide Susceptibility Assessment: A Case Study in Pingwu
Ziyu Jiang, Ming Wang, Kai Liu
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 798-798
Open Access | Times Cited: 35
Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps
Sheela Bhuvanendran Bhagya, Anita Saji Sumi, S. Balaji, et al.
Land (2023) Vol. 12, Iss. 2, pp. 468-468
Open Access | Times Cited: 28
Effect of the Normalized Difference Vegetation Index (NDVI) on GIS-Enabled Bivariate and Multivariate Statistical Models for Landslide Susceptibility Mapping
K. C. Niraj, Ankit Singh, Dericks Praise Shukla
Journal of the Indian Society of Remote Sensing (2023) Vol. 51, Iss. 8, pp. 1739-1756
Closed Access | Times Cited: 24
Exploring machine learning and statistical approach techniques for landslide susceptibility mapping in Siwalik Himalayan Region using geospatial technology
Abhik Saha, Lakshya Tripathi, Vasanta Govind Kumar Villuri, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 7, pp. 10443-10459
Closed Access | Times Cited: 13
Comparative assessment of machine learning models for landslide susceptibility mapping: a focus on validation and accuracy
Mohamed M. Abdelkader, Árpád Csámer
Natural Hazards (2025)
Open Access | Times Cited: 1
Predicting landslide susceptibility based on decision tree machine learning models under climate and land use changes
Quoc Bao Pham, Subodh Chandra Pal, Rabin Chakrabortty, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 7881-7907
Closed Access | Times Cited: 48
Assessing landslide susceptibility using a machine learning-based approach to achieving land degradation neutrality
Yacine Achour, Zahra Saïdani, Rania Touati, et al.
Environmental Earth Sciences (2021) Vol. 80, Iss. 17
Closed Access | Times Cited: 47
Development of geo-environmental factors controlled flash flood hazard map for emergency relief operation in complex hydro-geomorphic environment of tropical river, India
Dipankar Ruidas, Asish Saha, Abu Reza Md. Towfiqul Islam, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 49, pp. 106951-106966
Closed Access | Times Cited: 35
Evaluation of debris flow and landslide hazards using ensemble framework of Bayesian- and tree-based models
Subodh Chandra Pal, Rabin Chakrabortty, Asish Saha, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 1
Closed Access | Times Cited: 30
Potential impacts of future climate on the spatio-temporal variability of landslide susceptibility in Iran using machine learning algorithms and CMIP6 climate-change scenarios
Saeid Janizadeh, Sayed M. Bateni, Changhyun Jun, et al.
Gondwana Research (2023) Vol. 124, pp. 1-17
Closed Access | Times Cited: 21
Development and assessment of a novel hybrid machine learning-based landslide susceptibility mapping model in the Darjeeling Himalayas
Abhik Saha, Vasanta Govind Kumar Villuri, Ashutosh Bhardwaj
Stochastic Environmental Research and Risk Assessment (2023)
Closed Access | Times Cited: 19
Application of novel framework approach for prediction of nitrate concentration susceptibility in coastal multi-aquifers, Bangladesh
Abu Reza Md. Towfiqul Islam, Subodh Chandra Pal, Indrajit Chowdhuri, et al.
The Science of The Total Environment (2021) Vol. 801, pp. 149811-149811
Closed Access | Times Cited: 40
Random Forest for rice yield mapping and prediction using Sentinel-2 data with Google Earth Engine
Komal Choudhary, Wenzhong Shi, Dong Yu, et al.
Advances in Space Research (2022) Vol. 70, Iss. 8, pp. 2443-2457
Closed Access | Times Cited: 28
Application of novel deep boosting framework-based earthquake induced landslide hazards prediction approach in Sikkim Himalaya
Indrajit Chowdhuri, Subodh Chandra Pal, Saeid Janizadeh, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 12509-12535
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
Application of Bagging, Boosting and Stacking Ensemble and EasyEnsemble Methods for Landslide Susceptibility Mapping in the Three Gorges Reservoir Area of China
Xueling Wu, Junyang Wang
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 6, pp. 4977-4977
Open Access | Times Cited: 16
Survey: Rainfall Prediction Precipitation, Review of Statistical Methods
Sarâh Benziane
WSEAS TRANSACTIONS ON SYSTEMS (2024) Vol. 23, pp. 47-59
Open Access | Times Cited: 6
Synergizing multiple machine learning techniques and remote sensing for advanced landslide susceptibility assessment: a case study in the Three Gorges Reservoir Area
Yingxu Song, Yuan Li, Yujia Zou, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 8
Closed Access | Times Cited: 5
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