Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A comparison of supervised, unsupervised and synthetic land use classification methods in the north of Iran
Majid Mohammady, Hamidreza Moradi, Hossein Zeinivand, et al.
International Journal of Environmental Science and Technology (2014) Vol. 12, Iss. 5, pp. 1515-1526
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Unsupervised machine learning in urban studies: A systematic review of applications
Jing Wang, Filip Biljecki
Cities (2022) Vol. 129, pp. 103925-103925
Closed Access | Times Cited: 111
Spatiotemporal Variation in Land Use Land Cover in the Response to Local Climate Change Using Multispectral Remote Sensing Data
Sajjad Hussain, Linlin Lu, Muhammad Mubeen, et al.
Land (2022) Vol. 11, Iss. 5, pp. 595-595
Open Access | Times Cited: 104
Coastal landuse and land cover change and transformations of Kanyakumari coast, India using remote sensing and GIS
S. Kaliraj, N. Chandrasekar, K. K. Ramachandran, et al.
The Egyptian Journal of Remote Sensing and Space Science (2017) Vol. 20, Iss. 2, pp. 169-185
Open Access | Times Cited: 120
Land subsidence susceptibility assessment using random forest machine learning algorithm
Majid Mohammady, Hamid Reza Pourghasemi, Mojtaba Amiri
Environmental Earth Sciences (2019) Vol. 78, Iss. 16
Closed Access | Times Cited: 109
Constructing a complete landslide inventory dataset for the 2018 monsoon disaster in Kerala, India, for land use change analysis
Lina Hao, C.J. van Westen, Tapas R. Martha, et al.
Earth system science data (2020) Vol. 12, Iss. 4, pp. 2899-2918
Open Access | Times Cited: 84
Assessment of land-use and land-cover changes in Pangari watershed area (MS), India, based on the remote sensing and GIS techniques
Chaitanya B. Pande, Kanak N. Moharir, S. Khadri
Applied Water Science (2021) Vol. 11, Iss. 6
Open Access | Times Cited: 64
Monitoring Land Use And Land Cover Changes Using Geospatial Techniques, A Case Study Of Fateh Jang, Attock, Pakistan
Aqil Tariq, Hong Shu, Saima Siddiqui, et al.
GEOGRAPHY ENVIRONMENT SUSTAINABILITY (2021) Vol. 14, Iss. 1, pp. 41-52
Open Access | Times Cited: 57
Developments in Land Use and Land Cover Classification Techniques in Remote Sensing: A Review
Lucrêncio Silvestre Macarringue, Édson Luís Bolfe, Paulo Roberto Mendes Pereira
Journal of Geographic Information System (2022) Vol. 14, Iss. 01, pp. 1-28
Open Access | Times Cited: 43
Managing mangroves and coastal land cover in the Mekong Delta
Manh Hung Phan, M.J.F. Stive
Ocean & Coastal Management (2022) Vol. 219, pp. 106013-106013
Open Access | Times Cited: 41
Land use/land cover change along the Eastern Coast of the UAE and its impact on flooding risk
Khalid Hussein, Khaula Alkaabi, Dawit Ghebreyesus, et al.
Geomatics Natural Hazards and Risk (2020) Vol. 11, Iss. 1, pp. 112-130
Open Access | Times Cited: 68
Spatio-Temporal Analysis of Land Use/Land Cover Changes in an Ecologically Fragile Area—Alappuzha District, Southern Kerala, India
Geena Prasad, Maneesha Vinodini Ramesh
Natural Resources Research (2018) Vol. 28, Iss. S1, pp. 31-42
Closed Access | Times Cited: 66
Assessment of land subsidence susceptibility in Semnan plain (Iran): a comparison of support vector machine and weights of evidence data mining algorithms
Majid Mohammady, Hamid Reza Pourghasemi, Mojtaba Amiri
Natural Hazards (2019) Vol. 99, Iss. 2, pp. 951-971
Closed Access | Times Cited: 61
Combining Radar and Optical Imagery to Map Oil Palm Plantations in Sumatra, Indonesia, Using the Google Earth Engine
Thuan Sarzynski, Xingli Giam, Luis Carrasco, et al.
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1220-1220
Open Access | Times Cited: 56
Assessing the dynamics of land cover and shoreline changes of Nijhum Dwip (Island) of Bangladesh using remote sensing and GIS techniques
Md. Saiful Islam, Md. Asraf Uddin, Mallik Akram Hossain
Regional Studies in Marine Science (2020) Vol. 41, pp. 101578-101578
Closed Access | Times Cited: 51
Assessing Coastal Land-Use and Land-Cover Change Dynamics Using Geospatial Techniques
Anindita Nath, Bappaditya Koley, Tanupriya Choudhury, et al.
Sustainability (2023) Vol. 15, Iss. 9, pp. 7398-7398
Open Access | Times Cited: 20
Investigating effects of land use change scenarios on soil erosion using CLUE-s and RUSLE models
Mohammad Zare, Aliakbar Nazari Samani, Majid Mohammady, et al.
International Journal of Environmental Science and Technology (2017) Vol. 14, Iss. 9, pp. 1905-1918
Closed Access | Times Cited: 54
The impact of land use change on runoff generation in an urbanizing watershed in the north of Iran
Mohammad Zare, Aliakbar Nazari Samani, Majid Mohammady
Environmental Earth Sciences (2016) Vol. 75, Iss. 18
Closed Access | Times Cited: 48
Landsat Images Classification Algorithm (LICA) to Automatically Extract Land Cover Information in Google Earth Engine Environment
Alessandra Capolupo, Cristina Monterisi, Eufemia Tarantino
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1201-1201
Open Access | Times Cited: 48
Micro-scale fragmentation of the alpine meadow landscape on the Qinghai-Tibet Plateau under external disturbances
Jiexia Li, Xilai Li, Jay Gao, et al.
CATENA (2021) Vol. 201, pp. 105220-105220
Closed Access | Times Cited: 38
Input imagery, classifiers, and cloud computing: Insights from multi-temporal LULC mapping in the Cambodian Mekong Delta
Christina Orieschnig, Gilles Belaud, Jean‐Philippe Venot, et al.
European Journal of Remote Sensing (2021) Vol. 54, Iss. 1, pp. 398-416
Open Access | Times Cited: 36
Analysis of Land Use and Land Cover Changes in Urban Areas Using Remote Sensing: Case of Blantyre City
Jane Ferah Gondwe, Sun Lin, Rodger Millar Munthali
Discrete Dynamics in Nature and Society (2021) Vol. 2021, pp. 1-17
Open Access | Times Cited: 35
Spatial modeling of susceptibility to subsidence using machine learning techniques
Majid Mohammady, Hamid Reza Pourghasemi, Mojtaba Amiri, et al.
Stochastic Environmental Research and Risk Assessment (2021)
Closed Access | Times Cited: 28
Mapping Sugarcane in Central India with Smartphone Crowdsourcing
Ju Young Lee, Sherrie Wang, Anjuli Jain Figueroa, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 703-703
Open Access | Times Cited: 21
Accuracy assessment of land cover/land use classifiers in dry and humid areas of Iran
Saleh Yousefi, Reza Khatami, Giorgos Mountrakis, et al.
Environmental Monitoring and Assessment (2015) Vol. 187, Iss. 10
Closed Access | Times Cited: 40
Modeling and assessing the effects of land use changes on runoff generation with the CLUE-s and WetSpa models
Majid Mohammady, Hamid Reza Moradi, Hossein Zeinivand, et al.
Theoretical and Applied Climatology (2017) Vol. 133, Iss. 1-2, pp. 459-471
Closed Access | Times Cited: 39
Page 1 - Next Page

Scroll to top