Jiangwei Lao

868 total citations · 2 hit papers
10 papers, 585 citations indexed

About

Jiangwei Lao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Jiangwei Lao has authored 10 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Jiangwei Lao's work include Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Neural Network Applications (3 papers). Jiangwei Lao is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Neural Network Applications (3 papers). Jiangwei Lao collaborates with scholars based in China, Rwanda and Hong Kong. Jiangwei Lao's co-authors include Zhicheng Li, Qihua Li, Ji Zhang, Jing Liu, Yinsheng Chen, Guangtao Zhai, Lixiang Ru, Liheng Zhong, Xin Guo and Yansheng Li and has published in prestigious journals such as Scientific Reports, International Journal of Computer Vision and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Jiangwei Lao

8 papers receiving 571 citations

Hit Papers

A Deep Learning-Based Radiomics Model for Prediction of S... 2017 2026 2020 2023 2017 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangwei Lao China 5 376 148 128 101 95 10 585
Zeju Li China 12 489 1.3× 155 1.0× 232 1.8× 125 1.2× 111 1.2× 24 684
Khashayar Namdar Canada 10 280 0.7× 81 0.5× 86 0.7× 109 1.1× 71 0.7× 26 470
Michelle Bardis United States 8 370 1.0× 132 0.9× 178 1.4× 151 1.5× 87 0.9× 12 576
Zhenyuan Ning China 12 374 1.0× 289 2.0× 30 0.2× 112 1.1× 127 1.3× 26 661
Mehrdad Oveisi Iran 14 691 1.8× 140 0.9× 69 0.5× 241 2.4× 281 3.0× 41 873
Frederic Madesta Germany 10 368 1.0× 169 1.1× 46 0.4× 114 1.1× 140 1.5× 19 563
Hendrik Laue Germany 13 559 1.5× 124 0.8× 46 0.4× 125 1.2× 102 1.1× 26 884
Turid Torheim United Kingdom 11 284 0.8× 68 0.5× 74 0.6× 42 0.4× 66 0.7× 16 449
Dmitry Goldgof United States 11 602 1.6× 169 1.1× 32 0.3× 231 2.3× 249 2.6× 27 841

Countries citing papers authored by Jiangwei Lao

Since Specialization
Citations

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

Fields of papers citing papers by Jiangwei Lao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangwei Lao

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

All Works

10 of 10 papers shown
1.
Lao, Jiangwei, et al.. (2026). PulseMind: A Multi-Modal Medical Model for Real-World Clinical Diagnosis. Proceedings of the AAAI Conference on Artificial Intelligence. 40(13). 11259–11268.
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.
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.
5.
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
6.
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 →
7.
Hong, Weixiang, Jiangwei Lao, Lele Xie, et al.. (2024). Training Object Detectors from Scratch: An Empirical Study in the Era of Vision Transformer. International Journal of Computer Vision. 132(8). 2929–2942. 4 indexed citations
8.
Lao, Jiangwei, Weixiang Hong, Xin Guo, et al.. (2023). Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation. 14763–14772. 7 indexed citations
9.
Hong, Weixiang, et al.. (2022). Training Object Detectors from Scratch: An Empirical Study in the Era of Vision Transformer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4652–4661. 9 indexed citations
10.
Lao, Jiangwei, Yinsheng Chen, Zhicheng Li, et al.. (2017). A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme. Scientific Reports. 7(1). 10353–10353. 461 indexed citations breakdown →

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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