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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:

Identification of soil erosion-susceptible areas using fuzzy logic and analytical hierarchy process modeling in an agricultural watershed of Burdwan district, India
Sunil Saha, Amiya Gayen, Hamid Reza Pourghasemi, et al.
Environmental Earth Sciences (2019) Vol. 78, Iss. 23
Closed Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

COVID-19 and urban vulnerability in India
Swasti Vardhan Mishra, Amiya Gayen, Sk. Mafizul Haque
Habitat International (2020) Vol. 103, pp. 102230-102230
Open Access | Times Cited: 168
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
Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping
Emrehan Kutluğ Şahin
Geocarto International (2020) Vol. 37, Iss. 9, pp. 2441-2465
Closed Access | Times Cited: 120
Predicting the deforestation probability using the binary logistic regression, random forest, ensemble rotational forest, REPTree: A case study at the Gumani River Basin, India
Sunil Saha, Mantosh Saha, Kaustuv Mukherjee, et al.
The Science of The Total Environment (2020) Vol. 730, pp. 139197-139197
Closed Access | Times Cited: 109
A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility
Alireza Arabameri, Sunil Saha, Jagabandhu Roy, et al.
The Science of The Total Environment (2020) Vol. 726, pp. 138595-138595
Closed Access | Times Cited: 91
Soil erosion susceptibility mapping using a GIS-based multi-criteria decision approach: Case of district Chitral, Pakistan
Bilal Aslam, Ahsen Maqsoom, Wesam Salah Alaloul, et al.
Ain Shams Engineering Journal (2020) Vol. 12, Iss. 2, pp. 1637-1649
Open Access | Times Cited: 76
Soil erosion susceptibility assessment using logistic regression, decision tree and random forest: study on the Mayurakshi river basin of Eastern India
Abhishek Ghosh, Ramkrishna Maiti
Environmental Earth Sciences (2021) Vol. 80, Iss. 8
Closed Access | Times Cited: 73
Comparing the efficiency of weight of evidence, support vector machine and their ensemble approaches in landslide susceptibility modelling: A study on Kurseong region of Darjeeling Himalaya, India
Anik Saha, Sunil Saha
Remote Sensing Applications Society and Environment (2020) Vol. 19, pp. 100323-100323
Closed Access | Times Cited: 72
Influence of human activity on landslide susceptibility development in the Three Gorges area
Yongwei Li, Xianmin Wang, Hang Mao
Natural Hazards (2020) Vol. 104, Iss. 3, pp. 2115-2151
Closed Access | Times Cited: 72
Predicting the number of dusty days around the desert wetlands in southeastern Iran using feature selection and machine learning techniques
Zohre Ebrahimi‐Khusfi, Ali Reza Nafarzadegan, Fatemeh Dargahian
Ecological Indicators (2021) Vol. 125, pp. 107499-107499
Open Access | Times Cited: 64
Selected AI optimization techniques and applications in geotechnical engineering
Kennedy C. Onyelowe, Farid Fazel Mojtahedi, Ahmed M. Ebid, et al.
Cogent Engineering (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 40
Landslide Susceptibility Mapping and Driving Mechanisms in a Vulnerable Region Based on Multiple Machine Learning Models
Haiwei Yu, Wenjie Pei, Jingyi Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1886-1886
Open Access | Times Cited: 30
Artificial intelligence, machine learning and big data in natural resources management: A comprehensive bibliometric review of literature spanning 1975–2022
Dharen Kumar Pandey, Ahmed Imran Hunjra, Ratikant Bhaskar, et al.
Resources Policy (2023) Vol. 86, pp. 104250-104250
Closed 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
Daily suspended sediment yield estimation using soft-computing algorithms for hilly watersheds in a data-scarce situation: a case study of Bino watershed, Uttarakhand
Paramjeet Singh Tulla, Pravendra Kumar, Dinesh Kumar Vishwakarma, et al.
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 5, pp. 4023-4047
Closed Access | Times Cited: 12
Delineation of environmentally sustainable urban settlement using GIS-based MIF and AHP techniques
Nitin Liladhar Rane, Saurabh P. Choudhary, Arjun Saha, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 9
Identification of soil erosion‑susceptible areas using fuzzy logic and hydrological indices aided by mineralogical-granulometric analysis in lower Subansiri basin, Assam, India
Borneeta Dutta, Pankaj Kumar Srivastava, Annapurna Boruah
Environmental Earth Sciences (2025) Vol. 84, Iss. 2
Closed Access | Times Cited: 1
GIS-Based Environmental Monitoring and Analysis
Beata Całka, Marta Szostak
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3155-3155
Open Access | Times Cited: 1
Determining prone areas to gully erosion and the impact of land use change on it by using multiple-criteria decision-making algorithm in arid and semi-arid regions
Marzieh Mokarram, Abdol Rassoul Zarei
Geoderma (2021) Vol. 403, pp. 115379-115379
Closed Access | Times Cited: 52
Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility
Alireza Arabameri, Omid Asadi Nalivan, Sunil Saha, et al.
Remote Sensing (2020) Vol. 12, Iss. 11, pp. 1890-1890
Open Access | Times Cited: 51
Modeling gully erosion susceptibility in Phuentsholing, Bhutan using deep learning and basic machine learning algorithms
Sunil Saha, Raju Sarkar, Gautam Thapa, et al.
Environmental Earth Sciences (2021) Vol. 80, Iss. 8
Closed Access | Times Cited: 42
Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale
Sliman Hitouri, Antonietta Varasano, Meriame Mohajane, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 7, pp. 401-401
Open Access | Times Cited: 37
A State-of-the-Art Survey on Analytical Hierarchy Process Applications in Sustainable Development
Sudheer Singh Rawat, Sangeeta Pant, Anuj Kumar, et al.
International Journal of Mathematical Engineering and Management Sciences (2022) Vol. 7, Iss. 6, pp. 883-917
Open Access | Times Cited: 36
Integration of RS-GIS with Frequency Ratio, Fuzzy Logic, Logistic Regression and Decision Tree Models for Flood Susceptibility Prediction in Lower Gangetic Plain: A Study on Malda District of West Bengal, India
Abhishek Ghosh, Priyanka Dey, Tirthankar Ghosh
Journal of the Indian Society of Remote Sensing (2022) Vol. 50, Iss. 9, pp. 1725-1745
Closed Access | Times Cited: 32
Analytic Hierarchy Process (AHP) Based Soil Erosion Susceptibility Mapping in Northwestern Himalayas: A Case Study of Central Kashmir Province
Fayma Mushtaq, Majid Farooq, Anamika Shalini Tirkey, et al.
Conservation (2023) Vol. 3, Iss. 1, pp. 32-52
Open Access | Times Cited: 20
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