Qingyang Li

506 total citations · 1 hit paper
12 papers, 376 citations indexed

About

Qingyang Li is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qingyang Li has authored 12 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Media Technology, 4 papers in Atmospheric Science and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qingyang Li's work include Remote-Sensing Image Classification (5 papers), Remote Sensing and Land Use (4 papers) and Advanced Image Fusion Techniques (3 papers). Qingyang Li is often cited by papers focused on Remote-Sensing Image Classification (5 papers), Remote Sensing and Land Use (4 papers) and Advanced Image Fusion Techniques (3 papers). Qingyang Li collaborates with scholars based in China. Qingyang Li's co-authors include Ruofei Zhong, Yu Du, Xin Du, Fan Wu, Ke Zhao, Bo Zhang, Xin Du, Yue Li, Gong Cheng and Xin‐Yuan Fu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and Automation in Construction.

In The Last Decade

Qingyang Li

10 papers receiving 366 citations

Hit Papers

TransUNetCD: A Hybrid Transformer Network for Change Dete... 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. TransUNetCD: A Hybrid Transformer Network for Change Detection in Optical Remote-Sensing Images
    2022 249 citations Qingyang Li, Ruofei Zhong et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers

Qingyang Li
Saimin Zhang China
Jinghui Yang China
Pan Chen China
Taylor Glenn United States
Cui Zhang China
Boao Qin China
Yinnian Liu China
Young-Gi Byun South Korea
Shuli Cheng China
Saimin Zhang China
Qingyang Li
Citations per year, relative to Qingyang Li Qingyang Li (= 1×) peers Saimin Zhang

Countries citing papers authored by Qingyang Li

Since Specialization
Citations

This map shows the geographic impact of Qingyang Li'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 Qingyang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingyang Li more than expected).

Fields of papers citing papers by Qingyang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qingyang Li. 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 Qingyang Li. The network helps show where Qingyang Li may publish in the future.

Co-authorship network of co-authors of Qingyang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Qingyang Li. A scholar is included among the top collaborators of Qingyang Li 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 Qingyang Li. Qingyang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Zhong, Ruofei, et al.. (2024). Dynamically Updated Semi-Supervised Change Detection Network Combining Cross-Supervision and Screening Algorithms. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 15 indexed citations
2.
Chen, Shumei, et al.. (2024). Optimum analysis of inclined angle of mixing blades in planetary mixer based on discrete element method. Advances in Mechanical Engineering. 16(8).
3.
Zhong, Ruofei, et al.. (2024). Hardware-Optimized Architecture of On-Board Registration for Remote-Sensing Images —Take SURF as an Example. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 8230–8249. 2 indexed citations
4.
Chen, Shumei, et al.. (2023). Digital evaluation of planetary concrete mixer efficiency. Automation in Construction. 150. 104834–104834. 5 indexed citations
5.
Zhong, Ruofei, et al.. (2023). MFGFNet: A Multi-Scale Remote Sensing Change Detection Network Using the Global Filter in the Frequency Domain. Remote Sensing. 15(6). 1682–1682. 10 indexed citations
6.
Wang, Peng, et al.. (2023). An unresolved CFD-DEM method for studying migration and clogging of fine particles through a packed bed. Ironmaking & Steelmaking Processes Products and Applications. 50(11). 1618–1630. 1 indexed citations
7.
Du, Yu, et al.. (2022). TransUNet++SAR: Change Detection with Deep Learning about Architectural Ensemble in SAR Images. Remote Sensing. 15(1). 6–6. 19 indexed citations
8.
Li, Qingyang, et al.. (2022). Geometric Quality Improvement Method of Optical Remote Sensing Satellite Images Based on Rational Function Model. Remote Sensing. 14(18). 4443–4443. 3 indexed citations
9.
Li, Qingyang, Ruofei Zhong, Xin Du, & Yu Du. (2022). TransUNetCD: A Hybrid Transformer Network for Change Detection in Optical Remote-Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–19. 249 indexed citations breakdown →
10.
11.
Li, Qingyang, Bo Zhang, Fan Wu, et al.. (2021). On-Board Real-Time Ship Detection in HISEA-1 SAR Images Based on CFAR and Lightweight Deep Learning. Remote Sensing. 13(10). 1995–1995. 67 indexed citations
12.

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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