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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:

Terrain feature-aware deep learning network for digital elevation model superresolution
Yifan Zhang, Wenhao Yu, Di Zhu
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 189, pp. 143-162
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

BB-GeoGPT: A framework for learning a large language model for geographic information science
Yifan Zhang, Zhiyun Wang, Zhengting He, et al.
Information Processing & Management (2024) Vol. 61, Iss. 5, pp. 103808-103808
Closed Access | Times Cited: 18
Deep learning-based automated terrain classification using high-resolution DEM data
Jiaqi Yang, Jun Xu, Yunshuo Lv, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103249-103249
Open Access | Times Cited: 28
Towards the next generation of digital terrain modelling and analysis: New value-added perspective for geoscience
Liyang Xiong, Sijin Li, Hongen Wang, et al.
(2025), pp. 100017-100017
Open Access | Times Cited: 1
Super-resolution for terrain modeling using deep learning in high mountain Asia
Yinghui Jiang, Liyang Xiong, Xiaohui Huang, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103296-103296
Open Access | Times Cited: 20
A Global-Information-Constrained Deep Learning Network for Digital Elevation Model Super-Resolution
Xiaoyi Han, Xiaochuan Ma, Houpu Li, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 305-305
Open Access | Times Cited: 17
TTSR: A Transformer-Based Topography Neural Network for Digital Elevation Model Super-Resolution
Yi Wang, Shichao Jin, Zekun Yang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-19
Closed Access | Times Cited: 8
A continuous digital elevation representation model for DEM super-resolution
Shun Yao, Yongmei Cheng, Fei Yang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 208, pp. 1-13
Closed Access | Times Cited: 7
A multi-terrain feature-based deep convolutional neural network for constructing super-resolution DEMs
Annan Zhou, Yumin Chen, John P. Wilson, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 120, pp. 103338-103338
Open Access | Times Cited: 12
Feature-Enhanced Deep Learning Network for Digital Elevation Model Super-Resolution
Xiaochuan Ma, Houpu Li, Zhanlong Chen
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 5670-5685
Open Access | Times Cited: 11
DEM super-resolution framework based on deep learning: decomposing terrain trends and residuals
Hongen Wang, Liyang Xiong, Guanghui Hu, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4
Geospatial large language model trained with a simulated environment for generating tool-use chains autonomously
Yifan Zhang, Jingxuan Li, Zhiyun Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2024), pp. 104312-104312
Open Access | Times Cited: 4
An ensemble learning framework for generating high-resolution regional DEMs considering geographical zoning
Xiaoyi Han, Chen Zhou, Saisai Sun, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 221, pp. 363-383
Closed Access
The intelligent fault identification method based on multi-source information fusion and deep learning
Dashu Guo, Xiaoshuang Yang, Peng Peng, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Super-resolution reconstruction of the 1 arc-second Australian coastal DEM dataset
Bo Zhang, Zekai Shi, Danfeng Hong, et al.
Geo-spatial Information Science (2025), pp. 1-21
Open Access
S3-Net: Learning spectral-spatio self-similarity for hyperspectral image super-resolution
Xinying Wang, Zhixiong Huang, Jiawen Zhu, et al.
Neural Networks (2025) Vol. 188, pp. 107490-107490
Closed Access
Focus on Hard Areas of Reconstruction: A Fine‐Grained Urban Flow Inference Framework
Yifan Zhang, Wenhao Yu, Xinru Zhao, et al.
Transactions in GIS (2025) Vol. 29, Iss. 3
Closed Access
A Multi-Path Feature Extraction and Transformer Feature Enhancement DEM Super-Resolution Reconstruction Network
Mingqiang Guo, Feng Xiong, Ying Huang, et al.
Remote Sensing (2025) Vol. 17, Iss. 10, pp. 1737-1737
Open Access
Exploring the integration of auxiliary modal information from remote sensing images for DEM super-resolution
Bing Gao, Linwei Yue, Zhonghang Qiu, et al.
International Journal of Geographical Information Science (2025), pp. 1-27
Closed Access
Integrating topographic knowledge into point cloud simplification for terrain modelling
Jun Chen, Liyang Xiong, Bowen Yin, et al.
International Journal of Geographical Information Science (2023) Vol. 37, Iss. 5, pp. 988-1008
Closed Access | Times Cited: 9
A large scale Digital Elevation Model super-resolution Transformer
Zhuoxiao Li, Xiaohui Zhu, Shanliang Yao, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 124, pp. 103496-103496
Open Access | Times Cited: 9
A Hybrid Improved Symbiotic Organisms Search and Sine–Cosine Particle Swarm Optimization Method for Drone 3D Path Planning
Tao Xiong, Hao Li, Kai Ding, et al.
Drones (2023) Vol. 7, Iss. 10, pp. 633-633
Open Access | Times Cited: 9
Integrating hydrological knowledge into deep learning for DEM super-resolution
Haoyu Cao, Liyang Xiong, Hongen Wang, et al.
International Journal of Geographical Information Science (2024), pp. 1-25
Closed Access | Times Cited: 3
An Enhanced Residual Feature Fusion Network Integrated with a Terrain Weight Module for Digital Elevation Model Super-Resolution
Guodong Chen, Yumin Chen, John P. Wilson, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1038-1038
Open Access | Times Cited: 8
Mapping gully affected areas by using Sentinel 2 imagery and digital elevation model based on the Google Earth Engine
Xiaohui Huang, Liyang Xiong, Yinghui Jiang, et al.
CATENA (2023) Vol. 233, pp. 107473-107473
Closed Access | Times Cited: 8
Deep learning methods applied to digital elevation models: state of the art
Juan José Ruíz Ruíz, Francisco Javier Ariza López, Juan Francisco Reinoso-Gordo, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 8
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