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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:

Simulating the impact of climate change on soil erosion in sub-tropical monsoon dominated watershed based on RUSLE, SCS runoff and MIROC5 climatic model
Subodh Chandra Pal, Rabin Chakrabortty
Advances in Space Research (2019) Vol. 64, Iss. 2, pp. 352-377
Closed Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility
Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal, et al.
Sensors (2020) Vol. 20, Iss. 19, pp. 5609-5609
Open Access | Times Cited: 147
Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility
Wei Chen, Xinxiang Lei, Rabin Chakrabortty, et al.
Journal of Environmental Management (2021) Vol. 284, pp. 112015-112015
Closed Access | Times Cited: 131
Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India
Rabin Chakrabortty, Subodh Chandra Pal, Mehebub Sahana, et al.
Natural Hazards (2020) Vol. 104, Iss. 2, pp. 1259-1294
Closed Access | Times Cited: 114
Changing climate and land use of 21st century influences soil erosion in India
Subodh Chandra Pal, Rabin Chakrabortty, Paramita Roy, et al.
Gondwana Research (2021) Vol. 94, pp. 164-185
Closed Access | Times Cited: 98
Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility
Alireza Arabameri, Omid Asadi Nalivan, Subodh Chandra Pal, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2833-2833
Open Access | Times Cited: 79
Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms
Alireza Arabameri, Subodh Chandra Pal, Romulus Costache, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 469-498
Open Access | Times Cited: 77
Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility
Subodh Chandra Pal, Alireza Arabameri, Thomas Blaschke, et al.
Remote Sensing (2020) Vol. 12, Iss. 22, pp. 3675-3675
Open Access | Times Cited: 76
Evaluation of different DEMs for gully erosion susceptibility mapping using in-situ field measurement and validation
Indrajit Chowdhuri, Subodh Chandra Pal, Asish Saha, et al.
Ecological Informatics (2021) Vol. 65, pp. 101425-101425
Closed Access | Times Cited: 65
Optimization modelling to establish false measures implemented with ex-situ plant species to control gully erosion in a monsoon-dominated region with novel in-situ measurements
Asish Saha, Subodh Chandra Pal, Alireza Arabameri, et al.
Journal of Environmental Management (2021) Vol. 287, pp. 112284-112284
Closed Access | Times Cited: 60
Global-scale application of the RUSLE model: a comprehensive review
Mithlesh Kumar, Ambika Prasad Sahu, Narayan Sahoo, et al.
Hydrological Sciences Journal (2022) Vol. 67, Iss. 5, pp. 806-830
Closed Access | Times Cited: 57
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
GIS integrated RUSLE model-based soil loss estimation and watershed prioritization for land and water conservation aspects
Mahesh Chand Singh, Koyel Sur, Nadhir Al‐Ansari, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 38
Effect of climate change on soil erosion indicates a dominance of rainfall over LULC changes
Sushree Sangita Dash, Rajib Maity
Journal of Hydrology Regional Studies (2023) Vol. 47, pp. 101373-101373
Open Access | Times Cited: 35
Soil erosion assessment by RUSLE model using remote sensing and GIS in an arid zone
Pingheng Li, Aqil Tariq, Qingting Li, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 3105-3124
Open Access | Times Cited: 30
Land Use Land Cover (LULC) and Surface Water Quality Assessment in and around Selected Dams of Jharkhand using Water Quality Index (WQI) and Geographic Information System (GIS)
Soumya Pandey, Neeta Kumari, Shah Al Nawajish
Journal of the Geological Society of India (2023) Vol. 99, Iss. 2, pp. 205-218
Closed Access | Times Cited: 25
Geospatial assessment of soil erosion in the Basantar and Devak watersheds of the NW Himalaya: A study utilizing USLE and RUSLE models
Ajay Kumar Taloor, Varun Khajuria, Gurnam Parsad, et al.
Geosystems and Geoenvironment (2025), pp. 100355-100355
Open Access | Times Cited: 1
Application of geospatial technology for delineating groundwater potential zones in the Gandheswari watershed, West Bengal
Debasis Ghosh, Mrinal Mandal, Manas Karmakar, et al.
Sustainable Water Resources Management (2020) Vol. 6, Iss. 1
Closed Access | Times Cited: 66
Assessing the Importance of Static and Dynamic Causative Factors on Erosion Potentiality Using SWAT, EBF with Uncertainty and Plausibility, Logistic Regression and Novel Ensemble Model in a Sub-tropical Environment
Rabin Chakrabortty, Subodh Chandra Pal, Indrajit Chowdhuri, et al.
Journal of the Indian Society of Remote Sensing (2020) Vol. 48, Iss. 5, pp. 765-789
Closed Access | Times Cited: 66
The use of RUSLE and GCMs to predict potential soil erosion associated with climate change in a monsoon-dominated region of eastern India
Rabin Chakrabortty, Biswajeet Pradhan, Prolay Mondal, et al.
Arabian Journal of Geosciences (2020) Vol. 13, Iss. 20
Closed Access | Times Cited: 54
Development of Different Machine Learning Ensemble Classifier for Gully Erosion Susceptibility in Gandheswari Watershed of West Bengal, India
Paramita Roy, Rabin Chakrabortty, Indrajit Chowdhuri, et al.
Algorithms for intelligent systems (2020), pp. 1-26
Closed Access | Times Cited: 53
GIS and remote sensing-based assessment of soil erosion risk using RUSLE model in South-Kivu province, eastern, Democratic Republic of Congo
Luc Cimusa Kulimushi, Pandurang Choudhari, Léonard Mubalama, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 961-987
Open Access | Times Cited: 53
Towards improved USLE-based soil erosion modelling in India: A review of prevalent pitfalls and implementation of exemplar methods
Anindya Majhi, Rohit Shaw, Kunal Mallick, et al.
Earth-Science Reviews (2021) Vol. 221, pp. 103786-103786
Open Access | Times Cited: 52
Spatial prediction of landslide susceptibility using projected storm rainfall and land use in Himalayan region
Indrajit Chowdhuri, Subodh Chandra Pal, Rabin Chakrabortty, et al.
Bulletin of Engineering Geology and the Environment (2021) Vol. 80, Iss. 7, pp. 5237-5258
Closed Access | Times Cited: 50
Deep learning and boosting framework for piping erosion susceptibility modeling: spatial evaluation of agricultural areas in the semi-arid region
Yunzhi Chen, Wei Chen, Saeid Janizadeh, et al.
Geocarto International (2021) Vol. 37, Iss. 16, pp. 4628-4654
Closed Access | Times Cited: 48
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
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