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.

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Showing 1-25 of 44 citing articles:

Landslide Susceptibility Model Using Artificial Neural Network (ANN) Approach in Langat River Basin, Selangor, Malaysia
Siti Norsakinah Selamat, Nuriah Abd Majid, Mohd Raihan Taha, et al.
Land (2022) Vol. 11, Iss. 6, pp. 833-833
Open Access | Times Cited: 42

Comparative analysis of GIS and RS based models for delineation of groundwater potential zone mapping
Fakhrul Islam, Aqil Tariq, Rufat Guluzade, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 38

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

Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio method in Sikkim Himalaya
Irjesh Sonker, Jayant Nath Tripathi, Swarnim
Quaternary Science Advances (2022) Vol. 8, pp. 100067-100067
Open Access | Times Cited: 37

Development and Assessment of GIS-Based Landslide Susceptibility Mapping Models Using ANN, Fuzzy-AHP, and MCDA in Darjeeling Himalayas, West Bengal, India
Abhik Saha, Vasanta Govind Kumar Villuri, Ashutosh Bhardwaj
Land (2022) Vol. 11, Iss. 10, pp. 1711-1711
Open Access | Times Cited: 30

Landslide susceptibility mapping (LSM) of Swat District, Hindu Kush Himalayan region of Pakistan, using GIS-based bivariate modeling
Fakhrul Islam, Salma Riaz, Bushra Ghaffar, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 30

Compilation of Parameter Control for Mapping the Potential Landslide Areas
P. A. Maha Agung, Muhammad Fathur Rouf Hasan, Adi Susilo, et al.
Civil Engineering Journal (2023) Vol. 9, Iss. 4, pp. 974-989
Open Access | Times Cited: 23

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

Enhancing a convolutional neural network model for land subsidence susceptibility mapping using hybrid meta-heuristic algorithms
Ali Asghar Jafari, Ali Asghar Alesheikh, Fatemeh Rezaie, et al.
International Journal of Coal Geology (2023) Vol. 277, pp. 104350-104350
Closed Access | Times Cited: 12

Landslide Susceptibility Mapping Using GIS and Bivariate Statistical Models in Chemoga Watershed, Ethiopia
Abinet Addis
Advances in Civil Engineering (2024) Vol. 2024, pp. 1-15
Open Access | Times Cited: 4

Delineation of groundwater prospective zones using multivariate and spatial analysis techniques in Henan Province North China Plain
Rabia Dars, Jianhua Ping, Xuemei Mei, et al.
Applied Water Science (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 4

Effect of scale and mapping unit on landslide susceptibility mapping of Mandakini River Basin, Uttarakhand, India
Sharad Kumar Gupta, Dericks Praise Shukla
Environmental Earth Sciences (2022) Vol. 81, Iss. 14
Closed Access | Times Cited: 19

Detecting slow-moving landslides in parts of Darjeeling–Sikkim Himalaya, NE India: quantitative constraints from PSInSAR and its relation to the structural discontinuities
Saurabh Singh, Ashwani Raju, Sayandeep Banerjee
Landslides (2022) Vol. 19, Iss. 10, pp. 2347-2365
Closed Access | Times Cited: 17

Mapping Landslide Sensitivity Based on Machine Learning: A Case Study in Ankang City, Shaanxi Province, China
Baoxin Zhao, Jingzhong Zhu, Youbiao Hu, et al.
Geofluids (2022) Vol. 2022, pp. 1-32
Open Access | Times Cited: 17

Spatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous Governorate, Syria
Hazem Ghassan Abdo, Hussein Almohamad, Ahmed Abdullah Al Dughairi, et al.
Geoscience Letters (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 17

Analysis of Suitable Cultivation Sites for Gastrodia elata Using GIS: A Comparison of Various Classification Methods
Gyeong-Mi Tak, Chong‐Kyu Lee, Seonghun Jeong, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1511-1511
Open Access

Beyond boundaries: AI-optimized global landslide susceptibility mapping
Mahdi Panahi, Fatemeh Rezaie, Khabat Khosravi, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access

Enhancing the Performance of Landslide Susceptibility Mapping with Frequency Ratio and Gaussian Mixture Model
Wenchao Huangfu, Haijun Qiu, Weicheng Wu, et al.
Land (2024) Vol. 13, Iss. 7, pp. 1039-1039
Open Access | Times Cited: 3

A Comparative Assessment of Sampling Ratios Using Artificial Neural Network (ANN) for Landslide Predictive Model in Langat River Basin, Selangor, Malaysia
Siti Norsakinah Selamat, Nuriah Abd Majid, Aizat Mohd Taib
Sustainability (2023) Vol. 15, Iss. 1, pp. 861-861
Open Access | Times Cited: 8

Landslide susceptibility mapping of Rangamati District of Bangladesh using statistical and machine intelligence model
Bibi Hafsa, Md. Sharafat Chowdhury, Md. Naimur Rahman
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 15
Closed Access | Times Cited: 12

Modeling of Daytime and Nighttime Surface Urban Heat Island Distribution Combined with LCZ in Beijing, China
Yinuo Xu, Chunxiao Zhang, Wei Hou
Land (2022) Vol. 11, Iss. 11, pp. 2050-2050
Open Access | Times Cited: 12

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