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:

Metaheuristic-based support vector regression for landslide displacement prediction: a comparative study
Junwei Ma, Ding Xia, Haixiang Guo, et al.
Landslides (2022) Vol. 19, Iss. 10, pp. 2489-2511
Open Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

Predicting mine water inrush accidents based on water level anomalies of borehole groups using long short-term memory and isolation forest
Huichao Yin, Qiang Wu, Shangxian Yin, et al.
Journal of Hydrology (2022) Vol. 616, pp. 128813-128813
Closed Access | Times Cited: 74

Mitigating urban heat island through neighboring rural land cover
Miao Yang, Chen Ren, Haorui Wang, et al.
Nature Cities (2024) Vol. 1, Iss. 8, pp. 522-532
Open Access | Times Cited: 27

Automated Machine Learning-Based Landslide Susceptibility Mapping for the Three Gorges Reservoir Area, China
Junwei Ma, Dongze Lei, Zhiyuan Ren, et al.
Mathematical Geosciences (2023) Vol. 56, Iss. 5, pp. 975-1010
Closed Access | Times Cited: 31

A new combined approach of neural-metaheuristic algorithms for predicting and appraisal of landslide susceptibility mapping
Hossein Moayedi, Atefeh Ahmadi Dehrashid
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 34, pp. 82964-82989
Open Access | Times Cited: 23

Data-augmented landslide displacement prediction using generative adversarial network
Qi Ge, Jin Li, Suzanne Lacasse, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 10, pp. 4017-4033
Open Access | Times Cited: 9

Monitoring Land Subsidence Using PS-InSAR Technique in Rawalpindi and Islamabad, Pakistan
Junaid Khan, Xingwei Ren, Muhammad Afaq Hussain, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3722-3722
Open Access | Times Cited: 29

Rapid Landslide Extraction from High-Resolution Remote Sensing Images Using SHAP-OPT-XGBoost
Na Lin, Di Zhang, Shanshan Feng, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3901-3901
Open Access | Times Cited: 20

A hybrid integration of analytical hierarchy process (AHP) and the multiobjective optimization on the basis of ratio analysis (MOORA) for landslide susceptibility zonation of Aizawl, India
Jonmenjoy Barman, Brototi Biswas, K. Srinivasa Rao
Natural Hazards (2024) Vol. 120, Iss. 9, pp. 8571-8596
Closed Access | Times Cited: 7

Machine Learning-Based Forward and Inverse Designs for Prediction and Optimization of Fracture Toughness of Aluminum Alloy
Jaka Fajar Fatriansyah, Muhammad Satrio, Andreas Federico, et al.
Results in Engineering (2024) Vol. 23, pp. 102717-102717
Open Access | Times Cited: 7

Structural characterization and attempted displacement interpretation of the Baishuihe landslide using integrated geophysical methods
Kai Lu, Fan Li, Jianwei Pan, et al.
Engineering Geology (2024) Vol. 336, pp. 107568-107568
Closed Access | Times Cited: 6

Comprehensive landslide prediction mapping using bivariate statistical models of Mizoram state of Northeast India
Jonmenjoy Barman, Jayanta Das
Journal of Spatial Science (2024) Vol. 69, Iss. 3, pp. 963-993
Closed Access | Times Cited: 5

Landslide displacement prediction based on time series and long short-term memory networks
Anjie Jin, Shasha Yang, Huang Xu-Ri
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 7
Closed Access | Times Cited: 5

Comment on hess-2024-315

(2025)
Closed Access

Reply on RC1
Junjun Chen
(2025)
Closed Access

Reply on RC2
Junjun Chen
(2025)
Closed Access

Shear strain prediction of reservoir landslide based on FBG monitoring and bagging-MLP algorithm
Jia Wang, Hong‐Hu Zhu, 孝 河野, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 2
Closed Access

Investigating the efficacy of physics-based metaheuristic algorithms in combination with explainable ensemble machine-learning models for landslide susceptibility mapping
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Rizwan Ali Naqvi, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access

Scientometric Analysis of Artificial Intelligence (AI) for Geohazard Research
Sheng Jiang, Junwei Ma, Zhiyang Liu, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7814-7814
Open Access | Times Cited: 26

Dynamic assessment of slope stability based on multi‐source monitoring data and ensemble learning approaches: A case study of Jiuxianping landslide
Wenhan Xu, Yanfei Kang, Lichuan Chen, et al.
Geological Journal (2022) Vol. 58, Iss. 6, pp. 2353-2371
Closed Access | Times Cited: 25

PS-InSAR Based Monitoring of Land Subsidence by Groundwater Extraction for Lahore Metropolitan City, Pakistan
Muhammad Afaq Hussain, Zhanlong Chen, Ying Zheng, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 3950-3950
Open Access | Times Cited: 23

Prediction of landslide velocity and displacement from groundwater level changes considering the shear rate-dependent friction of sliding zone soil
Haibo Miao, Gonghui Wang
Engineering Geology (2023) Vol. 327, pp. 107361-107361
Closed Access | Times Cited: 14

Synchronous adjustment framework for the integrated hydrogen network and production system: A concurrent optimization strategy of the system based on multi-model ensemble method
Shizhao Chen, Feifei Shen, Weimin Zhong, et al.
Applied Energy (2024) Vol. 360, pp. 122636-122636
Closed Access | Times Cited: 4

Synergistic evolution of hydrological and movement characteristics of Majiagou landslide and identification of key triggering factors through interpretable machine learning
Wenmin Yao, Xin Zhang, Changdong Li, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 2
Closed Access

An enhanced grey wolf optimizer boosted machine learning prediction model for patient-flow prediction
Xiang Zhang, Bin Lu, Lyuzheng Zhang, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107166-107166
Closed Access | Times Cited: 11

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