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:

Deep Learning for Landslide Detection and Segmentation in High-Resolution Optical Images along the Sichuan-Tibet Transportation Corridor
Wandong Jiang, Jiangbo Xi, Zhenhong Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5490-5490
Open Access | Times Cited: 25

Showing 25 citing articles:

A review of remote sensing image segmentation by deep learning methods
Jiangyun Li, Yuanxiu Cai, Qing Li, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 22

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

Automated detection of landslide events from multi-source remote sensing imagery: Performance evaluation and analysis of YOLO algorithms
Naveen Chandra, Himadri Vaidya
Journal of Earth System Science (2024) Vol. 133, Iss. 3
Closed Access | Times Cited: 6

Landslide detection based on deep learning and remote sensing imagery: A case study in Linzhi City
Yutong Wang, Hong Gao, Shuhao Liu, et al.
Natural Hazards Research (2024)
Open Access | Times Cited: 6

Landslide Detection for Remote Sensing Images Using a Multilabel Classification Network Based on Bijie Landslide Dataset
Yongxin Li, Zhihui Xin, Guisheng Liao, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 9194-9213
Open Access | Times Cited: 5

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

Enhanced Dual-Channel Model-Based with Improved Unet++ Network for Landslide Monitoring and Region Extraction in Remote Sensing Images
Wang Junxin, Q. T. Zhang, Xie Hao, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2990-2990
Open Access | Times Cited: 4

A Multi-Input Channel U-Net Landslide Detection Method Fusing SAR Multisource Remote Sensing Data
Hesheng Chen, Yi He, Lifeng Zhang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 1215-1232
Open Access | Times Cited: 10

Partial convolution-simple attention mechanism-SegFormer: An accurate and robust model for landslide identification
Shuang Yang, Yuzhu Wang, Kai Zhao, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 151, pp. 110612-110612
Closed Access

Optimal and Multi-View Strategic Hybrid Deep Learning for Old Landslide Detection in the Loess Plateau, Northwest China
Siyan Gao, Jiangbo Xi, Zhenhong Li, et al.
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1362-1362
Open Access | Times Cited: 3

Versatility Evaluation of Landslide Risk with Window Sizes and Sampling Techniques Based on Deep Learning
Fudong Ren, Koichi Isobe
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10571-10571
Open Access | Times Cited: 2

Mask R-CNN–Based Landslide Hazard Identification for 22.6 Extreme Rainfall Induced Landslides in the Beijiang River Basin, China
Zhibo Wu, Hao Li, Shaoxiong Yuan, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 4898-4898
Open Access | Times Cited: 4

An Integrated Framework of Positive-Unlabeled and Imbalanced Learning for Landslide Susceptibility Mapping
Zijin Fu, Hao Ma, Fawu Wang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 15596-15611
Open Access | Times Cited: 1

4RATFNet: Four-Dimensional Residual-Attention Improved-Transfer Few-Shot Semantic Segmentation Network for Landslide Detection
S. Huang, Qiang Li, Jiajun Li, et al.
Lecture notes in computer science (2024), pp. 65-77
Closed Access

AI and Machine Learning Algorithm-Based Solutions for Complications in Natural Disaster
D. Sathya, Siddique Ibrahim S P, D. Jagadeesan
Advances in computational intelligence and robotics book series (2024), pp. 237-253
Closed Access

A method for landslide identification and detection in high-precision aerial imagery: progressive CBAM-U-net model
Hanjie Lin, Li Li, Yue Qiang, et al.
Earth Science Informatics (2024)
Closed Access

Detecting small-scale landslides along electrical lines using robust satellite-based techniques
Mohammad Kazemi Garajeh, Annibale Guariglia, Parivash Paridad, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access

Remote Landslide Detection Using Semantic Segmentation
Atharva Pargaonkar, Shreyas Konjerla, Atharva Pansare, et al.
(2023), pp. 1053-1059
Closed Access

High Resolution Remote Sensing Semantic Segmentation Using Bayesian of Hyperparameters and Improved U-net
Jiahuan Xu, Dili Zeng, Jiangbo Xi
2021 China Automation Congress (CAC) (2023), pp. 7025-7029
Closed Access

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