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:

Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms
Abdul‐Lateef Balogun, Fatemeh Rezaie, Quoc Bao Pham, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101104-101104
Open Access | Times Cited: 141

Showing 1-25 of 141 citing articles:

Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea
Wahyu Luqmanul Hakim, Fatemeh Rezaie, Arip Syaripudin Nur, et al.
Journal of Environmental Management (2021) Vol. 305, pp. 114367-114367
Closed Access | Times Cited: 135

National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data
Qigen Lin, Pedro Lima, Stefan Steger, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 6, pp. 101248-101248
Open Access | Times Cited: 122

A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India
Dipankar Ruidas, Rabin Chakrabortty, Abu Reza Md. Towfiqul Islam, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 93

Ensemble learning framework for landslide susceptibility mapping: Different basic classifier and ensemble strategy
Taorui Zeng, Liyang Wu, Dario Peduto, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 6, pp. 101645-101645
Open Access | Times Cited: 76

A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment
Rana Muhammad Adnan Ikram, Atefeh Ahmadi Dehrashid, Binqiao Zhang, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 5, pp. 1717-1743
Closed Access | Times Cited: 42

Predicting deep-seated landslide displacement on Taiwan's Lushan through the integration of convolutional neural networks and the Age of Exploration-Inspired Optimizer
Jui‐Sheng Chou, Hoang-Minh Nguyen, Huy-Phuong Phan, et al.
Natural hazards and earth system sciences (2025) Vol. 25, Iss. 1, pp. 119-146
Open Access | Times Cited: 1

Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides
Abolfazl Jaafari, Mahdi Panahi, Davood Mafi-Gholami, et al.
Applied Soft Computing (2021) Vol. 116, pp. 108254-108254
Closed Access | Times Cited: 74

Spatial modeling and susceptibility zonation of landslides using random forest, naïve bayes and K-nearest neighbor in a complicated terrain
Sherif Ahmed Abu El-Magd, Sk Ajim Ali, Quoc Bao Pham
Earth Science Informatics (2021) Vol. 14, Iss. 3, pp. 1227-1243
Closed Access | Times Cited: 68

Hydrogeochemical evaluation and corresponding health risk from elevated arsenic and fluoride contamination in recurrent coastal multi-aquifers of eastern India
Asit Kumar Jaydhar, Subodh Chandra Pal, Asish Saha, et al.
Journal of Cleaner Production (2022) Vol. 369, pp. 133150-133150
Closed Access | Times Cited: 62

Unified whale optimization algorithm based multi-kernel SVR ensemble learning for wind speed forecasting
Huafeng Xian, Jinxing Che
Applied Soft Computing (2022) Vol. 130, pp. 109690-109690
Closed Access | Times Cited: 45

Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps
Sheela Bhuvanendran Bhagya, Anita Saji Sumi, S. Balaji, et al.
Land (2023) Vol. 12, Iss. 2, pp. 468-468
Open Access | Times Cited: 28

Flash flood detection and susceptibility mapping in the Monsoon period by integration of optical and radar satellite imagery using an improvement of a sequential ensemble algorithm
Seyed Vahid Razavi-Termeh, Myoung-Bae Seo, Abolghasem Sadeghi‐Niaraki, et al.
Weather and Climate Extremes (2023) Vol. 41, pp. 100595-100595
Open Access | Times Cited: 28

Spatial Prediction of Wildfire Susceptibility Using Hybrid Machine Learning Models Based on Support Vector Regression in Sydney, Australia
Arip Syaripudin Nur, Yong Je Kim, Joon Lee, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 760-760
Open Access | Times Cited: 27

Deep Learning and Machine Learning Models for Landslide Susceptibility Mapping with Remote Sensing Data
Muhammad Afaq Hussain, Zhanlong Chen, Ying Zheng, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4703-4703
Open Access | Times Cited: 26

Machine learning based landslide susceptibility mapping models and GB-SAR based landslide deformation monitoring systems: Growth and evolution
Babitha Ganesh, Shweta Vincent, Sameena Pathan, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 29, pp. 100905-100905
Closed Access | Times Cited: 25

Novel evolutionary-optimized neural network for predicting landslide susceptibility
Rana Muhammad Adnan Ikram, Imran Khan, Hossein Moayedi, et al.
Environment Development and Sustainability (2023) Vol. 26, Iss. 7, pp. 17687-17719
Closed Access | Times Cited: 24

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

Towards evaluation of the PID criteria based UAVs observation and tracking head within resizable selection by COA algorithm
Noorulden Basil, Hamzah M. Marhoon
Results in Control and Optimization (2023) Vol. 12, pp. 100279-100279
Open Access | Times Cited: 23

Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms
Zhuo Chen, Danqing Song
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 3384-3416
Open Access | Times Cited: 23

Application of SVR models built with AOA and Chaos mapping for predicting tunnel crown displacement induced by blasting excavation
Chuanqi Li, Xiancheng Mei
Applied Soft Computing (2023) Vol. 147, pp. 110808-110808
Closed Access | Times Cited: 23

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

Application of artificial intelligence in three aspects of landslide risk assessment: A comprehensive review
Rongjie He, Wengang Zhang, Jie Dou, et al.
Rock Mechanics Bulletin (2024) Vol. 3, Iss. 4, pp. 100144-100144
Open Access | Times Cited: 9

GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms
Abdulwaheed Tella, Abdul‐Lateef Balogun
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 57, pp. 86109-86125
Closed Access | Times Cited: 44

Spatial prediction of groundwater potentiality using machine learning methods with Grey Wolf and Sparrow Search Algorithms
Rui Liu, Gulin Li, Liangshuai Wei, et al.
Journal of Hydrology (2022) Vol. 610, pp. 127977-127977
Closed Access | Times Cited: 36

Page 1 - Next Page

Scroll to top