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:

Showing 1-25 of 78 citing articles:

Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil
Quang Hung Nguyen, Haï-Bang Ly, Lanh Si Ho, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-15
Open Access | Times Cited: 467

Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area
Meriame Mohajane, Romulus Costache, Firoozeh Karimi, et al.
Ecological Indicators (2021) Vol. 129, pp. 107869-107869
Open Access | Times Cited: 262

Interpretation and sensitivity analysis of the InSAR line of sight displacements in landslide measurements
Keren Dai, Jin Deng, Qiang Xu, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 1226-1242
Open Access | Times Cited: 83

Landslide Detection Mapping Employing CNN, ResNet, and DenseNet in the Three Gorges Reservoir, China
Tong Liu, Tao Chen, Ruiqing Niu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 11417-11428
Open Access | Times Cited: 61

The application of ResU-net and OBIA for landslide detection from multi-temporal sentinel-2 images
Omid Ghorbanzadeh, Khalil Gholamnia, Pedram Ghamisi
Big Earth Data (2022) Vol. 7, Iss. 4, pp. 961-985
Open Access | Times Cited: 57

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

Testing the performances of different fuzzy overlay methods in GIS-based landslide susceptibility mapping of Udi Province, SE Nigeria
Vincent E. Nwazelibe, Chinanu O. Unigwe, Johnbosco C. Egbueri
CATENA (2022) Vol. 220, pp. 106654-106654
Open Access | Times Cited: 42

Feature-Fusion Segmentation Network for Landslide Detection Using High-Resolution Remote Sensing Images and Digital Elevation Model Data
Xinran Liu, Yuexing Peng, Zili Lu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-14
Closed Access | Times Cited: 32

Landslide susceptibility mapping (LSM) based on different boosting and hyperparameter optimization algorithms: A case of Wanzhou District, China
Deliang Sun, Jing Wang, Haijia Wen, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 8, pp. 3221-3232
Open 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

Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery
Hejar Shahabi, Maryam Rahimzad, Sepideh Tavakkoli Piralilou, et al.
Remote Sensing (2021) Vol. 13, Iss. 22, pp. 4698-4698
Open Access | Times Cited: 49

Social Vulnerability Assessment for Landslide Hazards in Malaysia: A Systematic Review Study
Nor Diana Mohd Idris, Nurfashareena Muhamad, Mohd Raihan Taha, et al.
Land (2021) Vol. 10, Iss. 3, pp. 315-315
Open Access | Times Cited: 47

Application of Support Vector Regression and Metaheuristic Optimization Algorithms for Groundwater Potential Mapping in Gangneung-si, South Korea
Muhammad Fulki Fadhillah, Saro Lee, Chang-Wook Lee, et al.
Remote Sensing (2021) Vol. 13, Iss. 6, pp. 1196-1196
Open Access | Times Cited: 45

Evaluating the impacts of land use/land cover changes across topography against land surface temperature in Cameron Highlands
Darren How Jin Aik, Mohd Hasmadi Ismail, Farrah Melissa Muharam, et al.
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0252111-e0252111
Open Access | Times Cited: 44

Application of convolutional neural networks based on Bayesian optimization to landslide susceptibility mapping of transmission tower foundation
Mansheng Lin, Shuai Teng, Gongfa Chen, et al.
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 2
Open Access | Times Cited: 17

Surface Motion Prediction and Mapping for Road Infrastructures Management by PS-InSAR Measurements and Machine Learning Algorithms
Nicholas Fiorentini, Mehdi Maboudi, Pietro Leandri, et al.
Remote Sensing (2020) Vol. 12, Iss. 23, pp. 3976-3976
Open Access | Times Cited: 45

A Meta-Learning Approach of Optimisation for Spatial Prediction of Landslides
Biswajeet Pradhan, Maher Ibrahim Sameen, Husam A. H. Al-Najjar, et al.
Remote Sensing (2021) Vol. 13, Iss. 22, pp. 4521-4521
Open Access | Times Cited: 36

Deep learning approaches for landslide information recognition: Current scenario and opportunities
Naveen Chandra, Himadri Vaidya
Journal of Earth System Science (2024) Vol. 133, Iss. 2
Closed Access | Times Cited: 5

Automatic detection of earthquake triggered landslides using Sentinel-1 SAR imagery based on deep learning
Lifu Chen, Zengqi Li, Chuang Song, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Closed Access | Times Cited: 5

GIS-Based Soft Computing Models for Landslide Susceptibility Mapping: A Case Study of Pithoragarh District, Uttarakhand State, India
Trung-Hieu Tran, Duc Dam Nguyen, Fazal E. Jalal, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-19
Open Access | Times Cited: 32

Optimized landslide susceptibility mapping and modelling using PS-InSAR technique: a case study of Chitral valley, Northern Pakistan
Sajid Hussain, Hongxing Sun, Muhammad Zeeshan Ali, et al.
Geocarto International (2021) Vol. 37, Iss. 18, pp. 5227-5248
Closed Access | Times Cited: 29

Comparison of Logistic Regression, Information Value, and Comprehensive Evaluating Model for Landslide Susceptibility Mapping
Rui‐Xuan Tang, Echuan Yan, Tao Wen, et al.
Sustainability (2021) Vol. 13, Iss. 7, pp. 3803-3803
Open Access | Times Cited: 28

A comparison study on the quantitative statistical methods for spatial prediction of shallow landslides (case study: Yozidar-Degaga Route in Kurdistan Province, Iran)
Mitra Asadi, Leila Goli Mokhtari, Ataollah Shirzadi, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 2
Closed Access | Times Cited: 21

Landslide susceptibility evaluation based on active deformation and graph convolutional network algorithm
Xianmin Wang, Aiheng Du, Fengchang Hu, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 13

Performance Comparison of Landslide Susceptibility Maps Derived from Logistic Regression and Random Forest Models in the Bolaman Basin, Türkiye
Zehra Kaya Topaçli, Adem Kursat Ozcan, Candan Gökçeoğlu
Natural Hazards Review (2023) Vol. 25, Iss. 1
Closed Access | Times Cited: 12

Page 1 - Next Page

Scroll to top