Sushant Kumar Singh

Personal Details

First Name:	Sushant
Middle Name:	Kumar
Last Name:	Singh
Suffix:
RePEc Short-ID:	psi951
	[This author has chosen not to make the email address public]
Twitter:	@sushantorama

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. Binh Thai Pham & Tran Van Phong & Mohammadtaghi Avand & Nadhir Al-Ansari & Sushant K. Singh & Hiep Van Le & Indra Prakash, 2020. "Improving Voting Feature Intervals for Spatial Prediction of Landslides," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-15, October.

   Cited by:

   1. Peng Ye & Bin Yu & Wenhong Chen & Kan Liu & Longzhen Ye, 2022. "Rainfall-induced landslide susceptibility mapping using machine learning algorithms and comparison of their performance in Hilly area of Fujian Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(2), pages 965-995, September.

2. Viet-Ha Nhu & Ataollah Shirzadi & Himan Shahabi & Sushant K. Singh & Nadhir Al-Ansari & John J. Clague & Abolfazl Jaafari & Wei Chen & Shaghayegh Miraki & Jie Dou & Chinh Luu & Krzysztof Górski & Binh, 2020. "Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms," IJERPH, MDPI, vol. 17(8), pages 1-30, April.

   Cited by:

   1. Batmyagmar Dashbold & L. Sebastian Bryson & Matthew M. Crawford, 2023. "Landslide hazard and susceptibility maps derived from satellite and remote sensing data using limit equilibrium analysis and machine learning model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 235-265, March.
   2. Maela Madel L. Cahigas & Ardvin Kester S. Ong & Yogi Tri Prasetyo, 2023. "Super Typhoon Rai’s Impacts on Siargao Tourism: Deciphering Tourists’ Revisit Intentions through Machine-Learning Algorithms," Sustainability, MDPI, vol. 15(11), pages 1-29, May.
   3. Yimin Li & Xuanlun Deng & Peikun Ji & Yiming Yang & Wenxue Jiang & Zhifang Zhao, 2022. "Evaluation of Landslide Susceptibility Based on CF-SVM in Nujiang Prefecture," IJERPH, MDPI, vol. 19(21), pages 1-24, October.
   4. Ying-Jen Chang & Kuo-Chuan Hung & Li-Kai Wang & Chia-Hung Yu & Chao-Kun Chen & Hung-Tze Tay & Jhi-Joung Wang & Chung-Feng Liu, 2021. "A Real-Time Artificial Intelligence-Assisted System to Predict Weaning from Ventilator Immediately after Lung Resection Surgery," IJERPH, MDPI, vol. 18(5), pages 1-14, March.
   5. Bita Ghasemkhani & Kadriye Filiz Balbal & Derya Birant, 2024. "A New Predictive Method for Classification Tasks in Machine Learning: Multi-Class Multi-Label Logistic Model Tree (MMLMT)," Mathematics, MDPI, vol. 12(18), pages 1-27, September.
   6. Deborah Simon Mwakapesa & Yimin Mao & Xiaoji Lan & Yaser Ahangari Nanehkaran, 2023. "Landslide Susceptibility Mapping Using DIvisive ANAlysis (DIANA) and RObust Clustering Using linKs (ROCK) Algorithms, and Comparison of Their Performance," Sustainability, MDPI, vol. 15(5), pages 1-20, February.
   7. Hasnain Iftikhar & Murad Khan & Zardad Khan & Faridoon Khan & Huda M Alshanbari & Zubair Ahmad, 2023. "A Comparative Analysis of Machine Learning Models: A Case Study in Predicting Chronic Kidney Disease," Sustainability, MDPI, vol. 15(3), pages 1-13, February.
   8. Ahmed Cemiloglu & Licai Zhu & Agab Bakheet Mohammednour & Mohammad Azarafza & Yaser Ahangari Nanehkaran, 2023. "Landslide Susceptibility Assessment for Maragheh County, Iran, Using the Logistic Regression Algorithm," Land, MDPI, vol. 12(7), pages 1-20, July.
   9. Adrián G. Bruzón & Patricia Arrogante-Funes & Fátima Arrogante-Funes & Fidel Martín-González & Carlos J. Novillo & Rubén R. Fernández & René Vázquez-Jiménez & Antonio Alarcón-Paredes & Gustavo A. Alon, 2021. "Landslide Susceptibility Assessment Using an AutoML Framework," IJERPH, MDPI, vol. 18(20), pages 1-20, October.

3. Dieu Tien Bui & Ataollah Shirzadi & Ata Amini & Himan Shahabi & Nadhir Al-Ansari & Shahriar Hamidi & Sushant K. Singh & Binh Thai Pham & Baharin Bin Ahmad & Pezhman Taherei Ghazvinei, 2020. "A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers," Sustainability, MDPI, vol. 12(3), pages 1-24, February.

   Cited by:

   1. Viet-Ha Nhu & Ayub Mohammadi & Himan Shahabi & Baharin Bin Ahmad & Nadhir Al-Ansari & Ataollah Shirzadi & John J. Clague & Abolfazl Jaafari & Wei Chen & Hoang Nguyen, 2020. "Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment," IJERPH, MDPI, vol. 17(14), pages 1-23, July.
   2. Zhenhao Zhang & Guowei Lin & Xiaopeng Yang & Shilin Cui & Yan Li & Xueqing Shi & Zhongyu Han, 2023. "A Review of Vibration-Based Scour Diagnosis Methods for Bridge Foundation," Sustainability, MDPI, vol. 15(10), pages 1-25, May.
   3. Yehui Zhu & Liquan Xie & Tsung-Chow Su, 2020. "Scour Protection Effects of a Geotextile Mattress with Floating Plate on a Pipeline," Sustainability, MDPI, vol. 12(8), pages 1-13, April.
   4. Fabio Di Nunno & Francesco Granata & Quoc Bao Pham & Giovanni de Marinis, 2022. "Precipitation Forecasting in Northern Bangladesh Using a Hybrid Machine Learning Model," Sustainability, MDPI, vol. 14(5), pages 1-21, February.

4. Binh Thai Pham & Ataollah Shirzadi & Himan Shahabi & Ebrahim Omidvar & Sushant K. Singh & Mehebub Sahana & Dawood Talebpour Asl & Baharin Bin Ahmad & Nguyen Kim Quoc & Saro Lee, 2019. "Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms," Sustainability, MDPI, vol. 11(16), pages 1-25, August.

   Cited by:

   1. Viet-Ha Nhu & Ayub Mohammadi & Himan Shahabi & Baharin Bin Ahmad & Nadhir Al-Ansari & Ataollah Shirzadi & John J. Clague & Abolfazl Jaafari & Wei Chen & Hoang Nguyen, 2020. "Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment," IJERPH, MDPI, vol. 17(14), pages 1-23, July.
   2. Phong Tung Nguyen & Duong Hai Ha & Abolfazl Jaafari & Huu Duy Nguyen & Tran Van Phong & Nadhir Al-Ansari & Indra Prakash & Hiep Van Le & Binh Thai Pham, 2020. "Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam," IJERPH, MDPI, vol. 17(7), pages 1-20, April.
   3. Rachida Senouci & Nasr-Eddine Taibi & Ana Cláudia Teodoro & Lia Duarte & Hamidi Mansour & Rabia Yahia Meddah, 2021. "GIS-Based Expert Knowledge for Landslide Susceptibility Mapping (LSM): Case of Mostaganem Coast District, West of Algeria," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
   4. Indrajit Chowdhuri & Subodh Chandra Pal & Rabin Chakrabortty & Sadhan Malik & Biswajit Das & Paramita Roy, 2021. "Torrential rainfall-induced landslide susceptibility assessment using machine learning and statistical methods of eastern Himalaya," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(1), pages 697-722, May.
   5. Shinyoung Kwag & Daegi Hahm & Minkyu Kim & Seunghyun Eem, 2020. "Development of a Probabilistic Seismic Performance Assessment Model of Slope Using Machine Learning Methods," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
   6. Mohammad Mehrabi, 2022. "Landslide susceptibility zonation using statistical and machine learning approaches in Northern Lecco, Italy," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 901-937, March.
   7. Jiangping Gao & Xiangyang Shi & Linghui Li & Ziqiang Zhou & Junfeng Wang, 2022. "Assessment of Landslide Susceptibility Using Different Machine Learning Methods in Longnan City, China," Sustainability, MDPI, vol. 14(24), pages 1-26, December.
   8. Viet-Ha Nhu & Ataollah Shirzadi & Himan Shahabi & Sushant K. Singh & Nadhir Al-Ansari & John J. Clague & Abolfazl Jaafari & Wei Chen & Shaghayegh Miraki & Jie Dou & Chinh Luu & Krzysztof Górski & Binh, 2020. "Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms," IJERPH, MDPI, vol. 17(8), pages 1-30, April.
   9. Martin Kuradusenge & Santhi Kumaran & Marco Zennaro, 2020. "Rainfall-Induced Landslide Prediction Using Machine Learning Models: The Case of Ngororero District, Rwanda," IJERPH, MDPI, vol. 17(11), pages 1-20, June.
   10. Peyman Yariyan & Saeid Janizadeh & Tran Phong & Huu Duy Nguyen & Romulus Costache & Hiep Le & Binh Thai Pham & Biswajeet Pradhan & John P. Tiefenbacher, 2020. "Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 3037-3053, July.
   11. Jeong-Cheol Kim & Sunmin Lee, 2023. "Comparative Study of Deep Neural Networks for Landslide Susceptibility Assessment: A Case Study of Pyeongchang-gun, South Korea," Sustainability, MDPI, vol. 16(1), pages 1-13, December.
   12. Sk Ajim Ali & Farhana Parvin & Quoc Bao Pham & Khaled Mohamed Khedher & Mahro Dehbozorgi & Yasin Wahid Rabby & Duong Tran Anh & Duc Hiep Nguyen, 2022. "An ensemble random forest tree with SVM, ANN, NBT, and LMT for landslide susceptibility mapping in the Rangit River watershed, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(3), pages 1601-1633, September.
   13. Xiaojie Yang & Zhenli Hao & Keyuan Liu & Zhigang Tao & Guangcheng Shi, 2023. "An Improved Unascertained Measure-Set Pair Analysis Model Based on Fuzzy AHP and Entropy for Landslide Susceptibility Zonation Mapping," Sustainability, MDPI, vol. 15(7), pages 1-28, April.
   14. Viet-Tien Nguyen & Trong Hien Tran & Ngoc Anh Ha & Van Liem Ngo & Al-Ansari Nadhir & Van Phong Tran & Huu Duy Nguyen & Malek M. A. & Ata Amini & Indra Prakash & Lanh Si Ho & Binh Thai Pham, 2019. "GIS Based Novel Hybrid Computational Intelligence Models for Mapping Landslide Susceptibility: A Case Study at Da Lat City, Vietnam," Sustainability, MDPI, vol. 11(24), pages 1-24, December.
   15. Phong Tung Nguyen & Duong Hai Ha & Huu Duy Nguyen & Tran Van Phong & Phan Trong Trinh & Nadhir Al-Ansari & Hiep Van Le & Binh Thai Pham & Lanh Si Ho & Indra Prakash, 2020. "Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling," Sustainability, MDPI, vol. 12(7), pages 1-28, March.
   16. Hyung-Sup Jung & Saro Lee & Biswajeet Pradhan, 2020. "Sustainable Applications of Remote Sensing and Geospatial Information Systems to Earth Observations," Sustainability, MDPI, vol. 12(6), pages 1-6, March.
   17. Fatiha Debiche & Mohammed Amin Benbouras & Alexandru-Ionut Petrisor & Lyes Mohamed Baba Ali & Abdelghani Leghouchi, 2024. "Advancing Landslide Susceptibility Mapping in the Medea Region Using a Hybrid Metaheuristic ANFIS Approach," Land, MDPI, vol. 13(6), pages 1-29, June.
   18. Wentao Yang & Min Deng & Jianbo Tang & Liang Luo, 2023. "Geographically weighted regression with the integration of machine learning for spatial prediction," Journal of Geographical Systems, Springer, vol. 25(2), pages 213-236, April.

5. Dipankar Chakraborti & Sushant K. Singh & Mohammad Mahmudur Rahman & Rathindra Nath Dutta & Subhas Chandra Mukherjee & Shyamapada Pati & Probir Bijoy Kar, 2018. "Groundwater Arsenic Contamination in the Ganga River Basin: A Future Health Danger," IJERPH, MDPI, vol. 15(2), pages 1-19, January.

   Cited by:

   1. Frédéric Anderson Konkobo & Mamounata Diao & Paul Windinpsidi Savadogo & Roger Dakuyo & Noëlle Edwige Roamba & Sandrine Zongo & Mamoudou Hama Dicko, 2024. "Reduction of Malnutrition Related to Unsafe Water Consumption in Developing Countries: Potabilization of Surface Water and Traditional Well Water, with Plant Extracts," IJERPH, MDPI, vol. 21(5), pages 1-21, April.
   2. Amitrajeet A. Batabyal & Hamid Beladi, 2023. "Centralized versus Decentralized Cleanup of River Water Pollution: An Application to the Ganges," Games, MDPI, vol. 14(5), pages 1-12, October.
      • Batabyal, Amitrajeet & Beladi, Hamid, 2023. "Centralized versus Decentralized Cleanup of River Water Pollution: An Application to the Ganges," MPRA Paper 117226, University Library of Munich, Germany, revised 03 May 2023.
   3. Laura A. Richards & Arun Kumar & Prabhat Shankar & Aman Gaurav & Ashok Ghosh & David A. Polya, 2020. "Distribution and Geochemical Controls of Arsenic and Uranium in Groundwater-Derived Drinking Water in Bihar, India," IJERPH, MDPI, vol. 17(7), pages 1-26, April.
   4. Md Rokonuzzaman & Zhihong Ye & Chuan Wu & Wai-Chin Li, 2023. "Arsenic Elevated Groundwater Irrigation: Farmers’ Perception of Rice and Vegetable Contamination in a Naturally Arsenic Endemic Area," IJERPH, MDPI, vol. 20(6), pages 1-19, March.
   5. Fengjun Shao & Wenfeng Wang & Qingfeng Lu & Kexin Che & Bo Zhu, 2024. "Spatial Distribution of Arsenic in the Aksu River Basin, Xinjiang, China: The Cumulative Frequency Curve and Geostatistical Analysis," Sustainability, MDPI, vol. 16(4), pages 1-15, February.
   6. M. Mominul Islam & Md. Rezaul Karim & Xin Zheng & Xiaofang Li, 2018. "Heavy Metal and Metalloid Pollution of Soil, Water and Foods in Bangladesh: A Critical Review," IJERPH, MDPI, vol. 15(12), pages 1-16, December.

6. Sushant K. Singh, 2017. "Conceptual framework of a cloud-based decision support system for arsenic health risk assessment," Environment Systems and Decisions, Springer, vol. 37(4), pages 435-450, December.

   Cited by:

   1. Zachary A. Collier & James H. Lambert & Igor Linkov, 2017. "Global perspectives and case studies of environmental management and policy," Environment Systems and Decisions, Springer, vol. 37(4), pages 379-380, December.

7. Sushant Singh & Neeraj Vedwan, 2015. "Mapping composite vulnerability to groundwater arsenic contamination: an analytical framework and a case study in India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 1883-1908, January.

   Cited by:

   1. Dipankar Chakraborti & Sushant K. Singh & Mohammad Mahmudur Rahman & Rathindra Nath Dutta & Subhas Chandra Mukherjee & Shyamapada Pati & Probir Bijoy Kar, 2018. "Groundwater Arsenic Contamination in the Ganga River Basin: A Future Health Danger," IJERPH, MDPI, vol. 15(2), pages 1-19, January.
   2. Sushant K. Singh, 2017. "Conceptual framework of a cloud-based decision support system for arsenic health risk assessment," Environment Systems and Decisions, Springer, vol. 37(4), pages 435-450, December.
   3. Md Golam Azam & Md Mujibor Rahman, 2022. "Assessing spatial vulnerability of Bangladesh to climate change and extremes: a geographic information system approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(6), pages 1-35, August.

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