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 Comparative Assessment of Machine Learning Models for Landslide Susceptibility Mapping in the Rugged Terrain of Northern Pakistan
Naeem Shahzad, Xiaoli Ding, Sawaid Abbas
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2280-2280
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

A comprehensive review of machine learning‐based methods in landslide susceptibility mapping
Songlin Liu, Luqi Wang, Wengang Zhang, et al.
Geological Journal (2023) Vol. 58, Iss. 6, pp. 2283-2301
Closed Access | Times Cited: 114
Optimizing landslide susceptibility mapping using machine learning and geospatial techniques
Gazali Agboola, Leila Hashemi-Beni, Tamer Elbayoumi, et al.
Ecological Informatics (2024) Vol. 81, pp. 102583-102583
Open Access | Times Cited: 28
Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Forest fire probability zonation using dNBR and machine learning models: a case study at the Similipal Biosphere Reserve (SBR), Odisha, India
Rajkumar Guria, Manoranjan Mishra, Samiksha Mohanta, et al.
Environmental Science and Pollution Research (2025)
Closed Access | Times Cited: 2
A Comparative Analysis of Certainty Factor-Based Machine Learning Methods for Collapse and Landslide Susceptibility Mapping in Wenchuan County, China
Xinyue Yuan, Chao Liu, Ruihua Nie, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3259-3259
Open Access | Times Cited: 42
SBAS-InSAR based validated landslide susceptibility mapping along the Karakoram Highway: a case study of Gilgit-Baltistan, Pakistan
Isma Kulsoom, Weihua Hua, Sadaqat Hussain, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 42
Comparative Analysis of Tree-Based Ensemble Learning Algorithms for Landslide Susceptibility Mapping: A Case Study in Rize, Turkey
Ayşe Yavuz Özalp, Halil Akıncı, Mustafa Zeybek
Water (2023) Vol. 15, Iss. 14, pp. 2661-2661
Open Access | Times Cited: 29
Application of index of entropy and Geospatial techniques for landslide prediction in Lunglei district, Mizoram, India
Jonmenjoy Barman, Syed Sadath Ali, Brototi Biswas, et al.
Natural Hazards Research (2023) Vol. 3, Iss. 3, pp. 508-521
Open Access | Times Cited: 28
Achieving energy sustainability by using solar PV: System modelling and comprehensive techno-economic-environmental analysis
Aamir Mehmood, Jingzheng Ren, Long Zhang
Energy Strategy Reviews (2023) Vol. 49, pp. 101126-101126
Open Access | Times Cited: 26
Comparison of diverse machine learning algorithms for forest fire susceptibility mapping in Antalya, Türkiye
Hazan Alkan Akıncı, Halil Akıncı, Mustafa Zeybek
Advances in Space Research (2024) Vol. 74, Iss. 2, pp. 647-667
Closed Access | Times Cited: 10
Application of Artificial Intelligence and Remote Sensing for Landslide Detection and Prediction: Systematic Review
Stephen Akosah, Ivan Gratchev, Donghyun Kim, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2947-2947
Open Access | Times Cited: 9
Landslide Susceptibility Evaluation of Machine Learning Based on Information Volume and Frequency Ratio: A Case Study of Weixin County, China
Wancai He, Guoping Chen, Junsan Zhao, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2549-2549
Open Access | Times Cited: 17
Deep learning to assess the effects of land use/land cover and climate change on landslide susceptibility in the Tra Khuc river basin of Vietnam
Quan Vu Viet Du, Huu Duy Nguyen, Viet Thanh Pham, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 15
Spatial Mapping of Flood Susceptibility Using Decision Tree–Based Machine Learning Models for the Vembanad Lake System in Kerala, India
Parthasarathy Kulithalai Shiyam Sundar, Subrahmanya Kundapura
Journal of Water Resources Planning and Management (2023) Vol. 149, Iss. 10
Closed Access | Times Cited: 15
Incremental learning-random forest model-based landslide susceptibility analysis: A case of Ganzhou City, China
Xu Wang, Wen Nie, Wei Xie, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1645-1661
Closed Access | Times Cited: 5
Machine Learning-Driven Landslide Susceptibility Mapping in the Himalayan China–Pakistan Economic Corridor Region
Mohib Ullah, Bingzhe Tang, Wenchao Huangfu, et al.
Land (2024) Vol. 13, Iss. 7, pp. 1011-1011
Open Access | Times Cited: 5
Application of machine learning algorithms in landslide susceptibility mapping, Kali Valley, Kumaun Himalaya, India
Ambar Solanki, Vikram Gupta, Mallickarjun Joshi
Geocarto International (2022) Vol. 37, Iss. 27, pp. 16846-16871
Closed Access | Times Cited: 20
A Comparison Study of Landslide Susceptibility Spatial Modeling Using Machine Learning
Nurwatik Nurwatik, Muhammad Hidayatul Ummah, Agung Budi Cahyono, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 12, pp. 602-602
Open Access | Times Cited: 20
Optimizing soil settlement/consolidation prediction in finland clays: machine learning regressions with bayesian hyperparameter selection
Ahmad Alkhdour, Mahmoud Al Khazaleh, Rakan Al Mnaseer, et al.
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 8, pp. 3209-3225
Closed Access | Times Cited: 13
Identifying the Areas at Risk of Huaico Occurrences in the Department of Lima, Peru
Geise Macedo dos Santos, Vânia Elisabete Schneider, Gisele Cemin, et al.
Climate (2025) Vol. 13, Iss. 1, pp. 11-11
Open Access
Combination of GEOBIA and data-driven approach for grassland habitat mapping in the Alta Murgia National Park
Cristina Tarantino, Marica De Lucia, Luciana Zollo, et al.
Science of Remote Sensing (2025), pp. 100214-100214
Open Access
Least cost path analysis for alternative road network assessment of landslide-prone NH-2, Mizoram, NE India
Jonmenjoy Barman, Brototi Biswas, Jayanta Das, et al.
Geocarto International (2025) Vol. 40, Iss. 1
Open Access
Advancing mangrove mapping with the integrated mangrove index (IMI) and the role of tidal dynamics
Muhammad Umar, Sawaid Abbas
International Journal of Remote Sensing (2025), pp. 1-21
Closed Access
Integrating ensemble machine learning and explainable AI for enhanced forest fire susceptibility analysis and risk assessment in Türkiye’s Mediterranean region
Hasan Tonbul
Earth Science Informatics (2024)
Closed Access | Times Cited: 3
Investigating the Effects of Different Data Classification Methods on Landslide Susceptibility Mapping
Halil Akıncı, Ayşe Yavuz Özalp
Advances in Space Research (2024)
Closed Access | Times Cited: 3
Page 1 - Next Page

Scroll to top