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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:

Comparing Convolutional Neural Network and Machine Learning Models in Landslide Susceptibility Mapping: A Case Study in Wenchuan County
Sikui Zhang, Lin Bai, Yuanwei Li, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 20

Showing 20 citing articles:

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: 41
A Multi-Criteria Decision Analysis (MCDA) Approach for Landslide Susceptibility Mapping of a Part of Darjeeling District in North-East Himalaya, India
Abhik Saha, Vasanta Govind Kumar Villuri, Ashutosh Bhardwaj, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5062-5062
Open Access | Times Cited: 25
Landslide Risk Evaluation in Shenzhen Based on Stacking Ensemble Learning and InSAR
Binghai Gao, Yi He, Xueye Chen, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 1-18
Open Access | Times Cited: 24
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: 11
Hybridizing genetic random forest and self-attention based CNN-LSTM algorithms for landslide susceptibility mapping in Darjiling and Kurseong, India
Armin Moghimi, Chiranjit Singha, Mahdiyeh Fathi, et al.
Quaternary Science Advances (2024) Vol. 14, pp. 100187-100187
Open Access | Times Cited: 10
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: 7
Landslide spatial prediction using cluster analysis
Zheng Zhao, Hengxing Lan, Langping Li, et al.
Gondwana Research (2024) Vol. 130, pp. 291-307
Closed Access | Times Cited: 6
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: 6
A Deep Neural Network Framework for Landslide Susceptibility Mapping by Considering Time-Series Rainfall
Binghai Gao, Yi He, Xueye Chen, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 5946-5969
Open Access | Times Cited: 5
GIS-based modeling of landslide susceptibility zonation by integrating the frequency ratio and objective–subjective weighting approach: a case study in a tropical monsoon climate region
Pham Viet Hoa, Nguyễn Quang Tuấn, Pham Viet Hong, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 14
Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
Jing Jia, Wenjie Ye
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4098-4098
Open Access | Times Cited: 14
Effectiveness of hybrid ensemble machine learning models for landslide susceptibility analysis: Evidence from Shimla district of North-west Indian Himalayan region
Aastha Sharma, Haroon Sajjad, Md Hibjur Rahaman, et al.
Journal of Mountain Science (2024) Vol. 21, Iss. 7, pp. 2368-2393
Closed Access | Times Cited: 4
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: 8
CNN-Based Model for Landslide Susceptibility Assessment from Multispectral Data
Diego Renza, Elsa Adriana Cárdenas Quiroga, Estíbaliz Martínez, et al.
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8483-8483
Open Access | Times Cited: 12
Landslide susceptibility mapping using O-CURE and PAM clustering algorithms
Deborah Simon Mwakapesa, Xiaoji Lan, Yaser A. Nanehkaran, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 6
Prediction of corrosion failure probability of buried oil and gas pipeline based on an RBF neural network
Lexin Zhao, Zhengshan Luo, Guangya Deng, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 6
Influencing Physical Characteristics of Landslides in Kuala Lumpur, Malaysia
Syaidatul Azwani Zulkafli, Nuriah Abd Majid, Sharifah Zarina Syed Zakaria, et al.
Pertanika journal of science & technology (2023) Vol. 31, Iss. 2, pp. 995-1010
Open Access | Times Cited: 2
An Integrated Assessment of Landside: Type, Causes, Pre-Post Scenario and Risk Impact on Pettimudi Incident in Idukki District, India
S. Abdul Rahaman, R. Jegankumar, Dhanabalan SP.
Results in Earth Sciences (2024) Vol. 2, pp. 100050-100050
Open Access
Heterogeneous transfer learning considering feature representation and environmental consistency for landslide spatial prediction
Zheng Zhao, Weihong Wang, Jianhua Chen, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access
Landslide risk potential mapping by using continuously-weighted spatial criteria and convolution artificial neural network
Vahed Ghiasi, Ahmad Mahmoodi, Mahyar Yousefi
Scientia Iranica (2023)
Open Access
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