Mingqiang Guo

666 total citations
48 papers, 507 citations indexed

About

Mingqiang Guo is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Mingqiang Guo has authored 48 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 13 papers in Media Technology and 8 papers in Artificial Intelligence. Recurrent topics in Mingqiang Guo's work include Remote Sensing and LiDAR Applications (7 papers), Remote-Sensing Image Classification (7 papers) and Advanced Image Processing Techniques (7 papers). Mingqiang Guo is often cited by papers focused on Remote Sensing and LiDAR Applications (7 papers), Remote-Sensing Image Classification (7 papers) and Advanced Image Processing Techniques (7 papers). Mingqiang Guo collaborates with scholars based in China and United States. Mingqiang Guo's co-authors include Ying Huang, Yongyang Xu, Heng Liu, Zhong Xie, Liang Wu, Qingfeng Guan, Chunfeng Li, Zhanlong Chen, Qiqi Zhu and Ying Huang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and Sensors.

In The Last Decade

Mingqiang Guo

41 papers receiving 491 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mingqiang Guo China 13 179 174 102 94 80 48 507
Yi Wan China 13 183 1.0× 191 1.1× 142 1.4× 80 0.9× 81 1.0× 63 662
Victor J. D. Tsai Taiwan 10 262 1.5× 201 1.2× 122 1.2× 115 1.2× 70 0.9× 17 585
Yungang Cao China 11 149 0.8× 104 0.6× 93 0.9× 99 1.1× 69 0.9× 37 432
Xiaochong Tong China 11 168 0.9× 132 0.8× 107 1.0× 82 0.9× 53 0.7× 49 472
Ya Guo China 10 145 0.8× 237 1.4× 66 0.6× 69 0.7× 71 0.9× 26 397
Guangjun He China 12 161 0.9× 231 1.3× 87 0.9× 122 1.3× 79 1.0× 55 665
Xiongwu Xiao China 12 133 0.7× 81 0.5× 95 0.9× 67 0.7× 54 0.7× 54 463
Fang Wu China 11 90 0.5× 99 0.6× 119 1.2× 190 2.0× 67 0.8× 43 459
Ruitao Feng China 14 264 1.5× 133 0.8× 78 0.8× 55 0.6× 76 0.9× 49 753

Countries citing papers authored by Mingqiang Guo

Since Specialization
Citations

This map shows the geographic impact of Mingqiang Guo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mingqiang Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingqiang Guo more than expected).

Fields of papers citing papers by Mingqiang Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingqiang Guo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mingqiang Guo. The network helps show where Mingqiang Guo may publish in the future.

Co-authorship network of co-authors of Mingqiang Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Mingqiang Guo. A scholar is included among the top collaborators of Mingqiang Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingqiang Guo. Mingqiang Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Guo, Mingqiang, et al.. (2025). LLMD: Low-light mask wearing detection with enhanced image recovery and spatially adaptive feature learning. Expert Systems with Applications. 270. 126528–126528.
2.
Liu, Zheng, et al.. (2025). Urban-scale point cloud semantic segmentation via integrated mixed-scale and long-range interactions. Expert Systems with Applications. 295. 128666–128666.
3.
Guo, Mingqiang, et al.. (2025). Super-resolution reconstruction of WorldView-3 multispectral satellite images based on generative adversarial networks. Engineering Applications of Artificial Intelligence. 159. 111706–111706. 1 indexed citations
4.
Guo, Mingqiang, et al.. (2025). Time series anomaly detection hybrid model based on SARIMA and LSTM. 16(1). 63–69.
5.
Wang, Shiyuan, et al.. (2025). A robust high-resolution remote sensing image hiding network. Neurocomputing. 638. 130178–130178.
6.
Wang, Shiyuan, et al.. (2025). Optimisation of building contour extraction in high-resolution remote sensing images: An adaptive cluster segmentation algorithm for improving deep learning models. Expert Systems with Applications. 280. 127562–127562. 1 indexed citations
7.
Zhang, Zhizheng, Rui Cao, Hongting Sheng, et al.. (2025). Shadow detection and removal for remote sensing images via multi-feature adaptive optimization and geometry-aware illumination compensation. Expert Systems with Applications. 282. 127769–127769. 2 indexed citations
8.
Yang, Chao, Shiyuan Wang, Ying Huang, & Mingqiang Guo. (2025). SNR: One single network for image steganography with robust post-save recovery. Neurocomputing. 651. 130929–130929.
9.
Yang, Yang, et al.. (2024). KO-Shadow: KnOwledge-Driven Shadow Progressive Removal Framework for Very High Spatial Resolution Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 4 indexed citations
10.
Guo, Mingqiang. (2024). A Survey of English Vocabulary Learning Strategies in Chinese Senior High Schools. Frontiers in Educational Research. 7(5). 1 indexed citations
11.
Guo, Mingqiang, et al.. (2024). TDEGAN: A Texture-Detail-Enhanced Dense Generative Adversarial Network for Remote Sensing Image Super-Resolution. Remote Sensing. 16(13). 2312–2312. 5 indexed citations
12.
Shi, Jiyong, et al.. (2023). HYPERSPECTRAL ESTIMATION OF WHEAT CHLOROPHYLL CONTENT BASED ON PRINCIPAL COMPONENT ANALYSIS. Applied Ecology and Environmental Research. 21(6). 5009–5037. 1 indexed citations
13.
Xu, Yongyang, et al.. (2023). Multiscale Edge-Guided Network for Accurate Cultivated Land Parcel Boundary Extraction From Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–20. 18 indexed citations
14.
Guo, Mingqiang, et al.. (2022). NDSRGAN: A Novel Dense Generative Adversarial Network for Real Aerial Imagery Super-Resolution Reconstruction. Remote Sensing. 14(7). 1574–1574. 26 indexed citations
15.
Zhu, Qiqi, et al.. (2022). CDANet: Contextual Detail-Aware Network for High-Spatial-Resolution Remote-Sensing Imagery Shadow Detection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 11 indexed citations
16.
Guo, Mingqiang, et al.. (2021). Deep learning framework for geological symbol detection on geological maps. Computers & Geosciences. 157. 104943–104943. 11 indexed citations
17.
Yang, Xue, et al.. (2021). Accessibility Assessment of Buildings Based on Multi-Source Spatial Data: Taking Wuhan as a Case Study. ISPRS International Journal of Geo-Information. 10(10). 701–701. 3 indexed citations
18.
Guo, Mingqiang, et al.. (2021). ME-Net: A Deep Convolutional Neural Network for Extracting Mangrove Using Sentinel-2A Data. Remote Sensing. 13(7). 1292–1292. 52 indexed citations
19.
Wu, Liang, Sheng Hu, Yin Li, et al.. (2017). Optimizing Cruising Routes for Taxi Drivers Using a Spatio-Temporal Trajectory Model. ISPRS International Journal of Geo-Information. 6(11). 373–373. 20 indexed citations
20.
Guo, Mingqiang, Ying Huang, & Zhong Xie. (2014). An Efficient Approach to Load Balancing of Vector Maps in Cybergis Cluster Environment. GEOMATICA. 68(2). 129–134. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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