Lixiang Ru

829 total citations · 2 hit papers
17 papers, 468 citations indexed

About

Lixiang Ru is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Lixiang Ru has authored 17 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Lixiang Ru's work include Remote-Sensing Image Classification (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Neural Network Applications (4 papers). Lixiang Ru is often cited by papers focused on Remote-Sensing Image Classification (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Neural Network Applications (4 papers). Lixiang Ru collaborates with scholars based in China, Japan and United States. Lixiang Ru's co-authors include Bo Du, Yibing Zhan, Baosheng Yu, Chen Wu, Heliang Zheng, Jiangwei Lao, Xin Guo, Yansheng Li, Yingying Zhang and Liheng Zhong and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Computer Vision and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Lixiang Ru

15 papers receiving 458 citations

Hit Papers

Learning Affinity from Attention: End-to-End Weakly-Super... 2022 2026 2023 2024 2022 2024 50 100 150
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. Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
    2022 160 citations Lixiang Ru, Yibing Zhan et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  2. SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
    2024 96 citations Xin Guo, Jiangwei Lao et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lixiang Ru China 9 263 186 121 56 33 17 468
Yansheng Li China 11 163 0.6× 75 0.4× 157 1.3× 48 0.9× 32 1.0× 27 351
Wanxuan Lu China 9 226 0.9× 108 0.6× 235 1.9× 63 1.1× 34 1.0× 23 499
Juan Bu China 8 190 0.7× 78 0.4× 91 0.8× 39 0.7× 34 1.0× 11 357
Xuee Rong China 8 328 1.2× 143 0.8× 217 1.8× 41 0.7× 20 0.6× 14 504
Meng Lan China 8 198 0.8× 67 0.4× 190 1.6× 60 1.1× 32 1.0× 13 376
Gencer Sumbül Germany 10 310 1.2× 194 1.0× 348 2.9× 80 1.4× 101 3.1× 27 640
Weixun Zhou China 5 453 1.7× 123 0.7× 485 4.0× 100 1.8× 78 2.4× 6 665
Bo Dang China 10 96 0.4× 63 0.3× 115 1.0× 35 0.6× 37 1.1× 20 353
Bitao Jiang China 9 111 0.4× 54 0.3× 185 1.5× 90 1.6× 56 1.7× 30 378
Xiao Xiang Zhu Germany 12 99 0.4× 75 0.4× 138 1.1× 57 1.0× 26 0.8× 34 339

Countries citing papers authored by Lixiang Ru

Since Specialization
Citations

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

Fields of papers citing papers by Lixiang Ru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixiang Ru

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

All Works

17 of 17 papers shown
1.
Zhao, Zhenghui, Lixiang Ru, Chen Wu, & Di Wang. (2025). TransWCD: Scene-Adaptive Joint Constrained Framework for Weakly Supervised Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12.
2.
Wan, Yi, Qiong Wu, Peiqi Chen, et al.. (2025). Cross-view geo-localization with panoramic street-view and VHR satellite imagery in decentrality settings. ISPRS Journal of Photogrammetry and Remote Sensing. 227. 1–11. 1 indexed citations
3.
Zhu, Qi, Jiangwei Lao, Deyi Ji, et al.. (2025). SkySense-O: Towards Open-World Remote Sensing Interpretation with Vision-Centric Visual-Language Modeling. 14733–14744. 2 indexed citations
4.
Li, Yansheng, Bo Dang, Mang Ye, et al.. (2025). Unleashing the potential of remote sensing foundation models via bridging data and computility islands. The Innovation. 6(6). 100841–100841. 1 indexed citations
5.
Wu, Chen, et al.. (2025). Plug-and-play DISep: Separating dense instances for scene-to-pixel weakly-supervised change detection in high-resolution remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing. 220. 770–782. 1 indexed citations
6.
Wang, Xiaolong, Lei Yu, Yingying Zhang, et al.. (2025). HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 39(8). 7952–7960.
7.
Wu, Kang, Yingying Zhang, Lixiang Ru, et al.. (2025). A semantic-enhanced multi-modal remote sensing foundation model for Earth observation. Nature Machine Intelligence. 7(8). 1235–1249. 5 indexed citations
8.
Guo, Xin, Jiangwei Lao, Bo Dang, et al.. (2024). SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery. 27662–27673. 96 indexed citations breakdown →
9.
Ru, Lixiang, Heliang Zheng, Yibing Zhan, & Bo Du. (2023). Token Contrast for Weakly-Supervised Semantic Segmentation. 3093–3102. 92 indexed citations
10.
Ru, Lixiang, Bo Du, Yibing Zhan, & Chen Wu. (2022). Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling. International Journal of Computer Vision. 130(4). 1127–1144. 37 indexed citations
11.
Ru, Lixiang, Yibing Zhan, Baosheng Yu, & Bo Du. (2022). Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16825–16834. 160 indexed citations breakdown →
12.
Ru, Lixiang, et al.. (2022). WH-MAVS: A Novel Dataset and Deep Learning Benchmark for Multiple Land Use and Land Cover Applications. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 1575–1590. 15 indexed citations
13.
Wu, Chen, Haonan Guo, Lixiang Ru, et al.. (2021). An investigation of traffic density changes inside Wuhan during the COVID-19 epidemic with GF-2 time-series images. International Journal of Applied Earth Observation and Geoinformation. 103. 102503–102503. 20 indexed citations
14.
Ru, Lixiang, Bo Du, & Chen Wu. (2021). Learning Visual Words for Weakly-Supervised Semantic Segmentation. 982–988. 16 indexed citations
15.
Ru, Lixiang, et al.. (2020). CT-based staging and prognosis of novel coronavirus (COVID-19) pneumonia: correlation with blood glucose levels.. PubMed. 24(24). 13056–13061. 2 indexed citations
16.
Du, Bo, et al.. (2019). Scene Change Detection VIA Deep Convolution Canonical Correlation Analysis Neural Network. 124. 198–201. 12 indexed citations
17.
Ru, Lixiang, Chen Wu, Bo Du, & Liangpei Zhang. (2019). Deep Canonical Correlation Analysis Network for Scene Change Detection of Multi-Temporal VHR Imagery. 1–4. 8 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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