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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:

Geoinformation-based landslide susceptibility mapping in subtropical area
Xiaoting Zhou, Weicheng Wu, Yaozu Qin, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 31

Showing 1-25 of 31 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: 42
GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh
Md. Sharafat Chowdhury, Md. Naimur Rahman, Md. Sujon Sheikh, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e23424-e23424
Open Access | Times Cited: 33
Seismic landslide susceptibility assessment using principal component analysis and support vector machine
Ziyao Xu, Ailan Che, Hanxu Zhou
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Influences of non-landslide sampling strategies on landslide susceptibility mapping: a case of Tianshui city, Northwest of China
Chaoying Ke, Ping Sun, Shuai Zhang, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Closed Access | Times Cited: 1
Comparative assessment of machine learning models for landslide susceptibility mapping: a focus on validation and accuracy
Mohamed M. Abdelkader, Árpád Csámer
Natural Hazards (2025)
Open Access | Times Cited: 1
Research on the influence of different sampling resolution and spatial resolution in sampling strategy on landslide susceptibility mapping results
Xianyu Yu, Huihui Chen
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
A comparative evaluation of landslide susceptibility mapping using machine learning-based methods in Bogor area of Indonesia
Dian Nuraini Melati, Raditya Panji Umbara, Astisiasari Astisiasari, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 3
Open Access | Times Cited: 5
Adipokine human Resistin promotes obesity-associated inflammatory intervertebral disc degeneration via pro-inflammatory cytokine cascade activation
Jae Hee Shin, SeongHyun Park, Hansang Cho, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 20
Geoinformatics-based frequency ratio, analytic hierarchy process and hybrid models for landslide susceptibility zonation in Kurdistan Region, Northern Iraq
Kaiwan K. Fatah, Yaseen T. Mustafa, Imaddadin O. Hassan
Environment Development and Sustainability (2023) Vol. 26, Iss. 3, pp. 6977-7014
Closed Access | Times Cited: 13
A Comparative Study of Shallow Machine Learning Models and Deep Learning Models for Landslide Susceptibility Assessment Based on Imbalanced Data
Shiluo Xu, Yingxu Song, Xiulan Hao
Forests (2022) Vol. 13, Iss. 11, pp. 1908-1908
Open Access | Times Cited: 19
Mapping of landslide potential in Pyeongchang-gun, South Korea, using machine learning meta-based optimization algorithms
Muhammad Fulki Fadhillah, Wahyu Luqmanul Hakim, Mahdi Panahi, et al.
The Egyptian Journal of Remote Sensing and Space Science (2022) Vol. 25, Iss. 2, pp. 463-472
Open Access | Times Cited: 18
Assessing rainfall-induced landslide risk in a humanitarian context: The Kutupalong Rohingya Camp in Cox's Bazar, Bangladesh
A. S. M. Maksud Kamal, Bayes Ahmed, Sumya Tasnim, et al.
Natural Hazards Research (2022) Vol. 2, Iss. 3, pp. 230-248
Open Access | Times Cited: 17
A comprehensive investigation of the relationship between propulsion speed and water influx in coal mine TBM inclined shaft projects
Qing Yang, Chuanxin Rong, Mingjing Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Analysis of Rainfall Characteristics and Impacts in the Earlier Stage of Geological Disasters in Wuhan Based on Machine Learning
Ming Li, Linyi Li
Environmental science and engineering (2025), pp. 121-133
Closed Access
Geospatial-Based Risk Analysis of Solar Plants Located in the Mountainous Region of Gangwon Province, South Korea
Manik Das Adhikari, Sang‐Guk Yum, Chan-Young Yune
Renewable Energy (2025), pp. 123408-123408
Closed Access
Optimizing the Application of Machine Learning Models in Predicting Landslide Susceptibility Using the Information Value Model in Junlian County of Sichuan Basin
Lijun Qian, Lihua Ou, Guoxin Li, et al.
Advances in Space Research (2025)
Closed Access
Landslide susceptibility assessment through multi-model stacking and meta-learning in Poyang County, China
Yong Song, Yingxu Song, Chengnan Wang, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
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
Targeting mitochondria as a therapeutic anti-gastric cancer approach
Peticha Tanprasert, Sirikan Limpakan, Siriporn C. Chattipakorn, et al.
APOPTOSIS (2022) Vol. 27, Iss. 3-4, pp. 163-183
Closed Access | Times Cited: 14
Refined Zoning of Landslide Susceptibility: A Case Study in Enshi County, Hubei, China
Zhiye Wang, Chuanming Ma, Yang Qiu, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 15, pp. 9412-9412
Open Access | Times Cited: 13
Development of a machine learning model for river bed load
Hossein Hosseiny, Claire Masteller, Jedidiah E. Dale, et al.
Earth Surface Dynamics (2023) Vol. 11, Iss. 4, pp. 681-693
Open Access | Times Cited: 7
Machine learning for high-resolution landslide susceptibility mapping: case study in Inje County, South Korea
Xuan-Hien Le, Song Eu, Chanul Choi, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 7
Artificial intelligence in fracture detection on radiographs: a literature review
Antonio Lo Mastro, Enrico Grassi, Daniela Berritto, et al.
Japanese Journal of Radiology (2024)
Closed Access | Times Cited: 2
Landslide Hazard Assessment in the Heterogeneous Geomorphological and Environmental Context of the Rif Region, Morocco – A Machine Learning Approach
Maryem Hamidi, Tarik Bouramtane, Shiny Abraham, et al.
Ecological Engineering & Environmental Technology (2023) Vol. 24, Iss. 8, pp. 272-292
Open Access | Times Cited: 4
Evaluating landslide susceptibility: an AHP method-based approach enhanced with optimized random forest modeling
Xuedong Zhang, Haoyun Xie, Zidong Xu, et al.
Natural Hazards (2024) Vol. 120, Iss. 9, pp. 8153-8207
Closed Access | Times Cited: 1
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