Nanying Li

916 total citations · 1 hit paper
23 papers, 741 citations indexed

About

Nanying Li is a scholar working on Media Technology, Atmospheric Science and Biomedical Engineering. According to data from OpenAlex, Nanying Li has authored 23 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Media Technology, 12 papers in Atmospheric Science and 6 papers in Biomedical Engineering. Recurrent topics in Nanying Li's work include Remote-Sensing Image Classification (17 papers), Remote Sensing and Land Use (12 papers) and Advanced Image Fusion Techniques (8 papers). Nanying Li is often cited by papers focused on Remote-Sensing Image Classification (17 papers), Remote Sensing and Land Use (12 papers) and Advanced Image Fusion Techniques (8 papers). Nanying Li collaborates with scholars based in China, Australia and Germany. Nanying Li's co-authors include Sen Jia, Meng Xu, Shuguo Jiang, Shiqi Yu, Zhijie Lin, Bing Tu, Yingjun Wang, Guanglin Zhu, Juqing Song and Xuetao Shi and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Biotechnology Advances and Remote Sensing.

In The Last Decade

Nanying Li

22 papers receiving 729 citations

Hit Papers

A survey: Deep learning for hyperspectral image classific... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nanying Li China 13 415 229 176 159 100 23 741
Li Mei China 11 107 0.3× 64 0.3× 274 1.6× 66 0.4× 61 0.6× 33 787
Zhaoyi Ye China 12 95 0.2× 53 0.2× 130 0.7× 55 0.3× 21 0.2× 41 381
Guan-Fu Chen China 15 58 0.1× 22 0.1× 85 0.5× 232 1.5× 83 0.8× 46 814
Congmin Li China 12 310 0.7× 71 0.3× 43 0.2× 272 1.7× 85 0.8× 38 785
Jiawen Lin China 10 108 0.3× 56 0.2× 35 0.2× 102 0.6× 53 0.5× 50 506
Guangxing Wang China 12 216 0.5× 85 0.4× 50 0.3× 240 1.5× 95 0.9× 43 722
Lina Yang China 12 101 0.2× 57 0.2× 31 0.2× 54 0.3× 33 0.3× 31 381
Qiuxia Li China 15 143 0.3× 71 0.3× 96 0.5× 130 0.8× 17 0.2× 38 617
Ruihao Li China 17 109 0.3× 27 0.1× 120 0.7× 609 3.8× 57 0.6× 44 1.0k
Joakim Lindblad Sweden 16 164 0.4× 5 0.0× 102 0.6× 388 2.4× 176 1.8× 65 930

Countries citing papers authored by Nanying Li

Since Specialization
Citations

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

Fields of papers citing papers by Nanying Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanying Li

This figure shows the co-authorship network connecting the top 25 collaborators of Nanying Li. A scholar is included among the top collaborators of Nanying 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 Nanying Li. Nanying Li 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.
Fu, Xiyou, et al.. (2024). LGCT: Local-Global Collaborative Transformer for Fusion of Hyperspectral and Multispectral Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 9 indexed citations
2.
Jiang, Shuguo, Nanying Li, Meng Xu, Shuyu Zhang, & Sen Jia. (2024). SQformer: Spectral-Query Transformer for Hyperspectral Image Arbitrary-Scale Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 3 indexed citations
4.
Zhang, Shuyu, et al.. (2022). Superpixel-Guided Variable Gabor Phase Coding Fusion for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 5 indexed citations
5.
Jia, Sen, Yue Yuan, Nanying Li, et al.. (2022). A Multiscale Superpixel-Level Group Clustering Framework for Hyperspectral Band Selection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–18. 31 indexed citations
6.
Li, Nanying, Jiaqi Xue, & Sen Jia. (2022). Spectral Context-aware Transformer for Cholangiocarcinoma Hyperspectral Image Segmentation. 209–213. 6 indexed citations
7.
Jia, Sen, Shuguo Jiang, Zhijie Lin, et al.. (2021). A survey: Deep learning for hyperspectral image classification with few labeled samples. Neurocomputing. 448. 179–204. 279 indexed citations breakdown →
8.
Zhou, Chengle, Bing Tu, Nanying Li, Wei He, & Antonio Plaza. (2021). Structure-Aware Multikernel Learning for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 9837–9854. 6 indexed citations
9.
Zhang, Guoyun, et al.. (2020). Hyperspectral Anomaly Detection Via Dual Collaborative Representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 4881–4894. 24 indexed citations
10.
Liu, Lei, Xianling Gao, Guanglin Zhu, et al.. (2020). Calcium alendronate-coated composite scaffolds promote osteogenesis of ADSCs via integrin and FAK/ERK signalling pathways. Journal of Materials Chemistry B. 8(31). 6912–6924. 17 indexed citations
11.
Tu, Bing, et al.. (2019). Hyperspectral Image Classification with Multi-Scale Feature Extraction. Remote Sensing. 11(5). 534–534. 30 indexed citations
12.
Tu, Bing, et al.. (2019). Hyperspectral anomaly detection via density peak clustering. Pattern Recognition Letters. 129. 144–149. 65 indexed citations
13.
Tu, Bing, et al.. (2019). Density Peak Based Covariance Matrix for Hyperspectral Images Classification. 3301–3304. 2 indexed citations
14.
Zhao, Guangzhe, Nanying Li, Bing Tu, Guoyun Zhang, & Wei He. (2019). Density Peak Covariance Matrix for Feature Extraction of Hyperspectral Image. IEEE Geoscience and Remote Sensing Letters. 17(3). 534–538. 8 indexed citations
15.
Tu, Bing, Xianchang Yang, Nanying Li, Xianfeng Ou, & Wei He. (2018). Hyperspectral Image Classification via Superpixel Correlation Coefficient Representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(11). 4113–4127. 20 indexed citations
16.
Zhao, Guangzhe, et al.. (2018). Spatial-spectral classification of hyperspectral image via group tensor decomposition. Neurocomputing. 316. 68–77. 19 indexed citations
17.
Song, Juqing, Guanglin Zhu, Huichang Gao, et al.. (2018). Origami meets electrospinning: a new strategy for 3D nanofiber scaffolds. Bio-Design and Manufacturing. 1(4). 254–264. 20 indexed citations
18.
Tu, Bing, et al.. (2018). Classification of hyperspectral images via weighted spatial correlation representation. Journal of Visual Communication and Image Representation. 56. 160–166. 7 indexed citations
19.
Li, Nanying, Juqing Song, Guanglin Zhu, Xuetao Shi, & Yingjun Wang. (2016). Alendronate conjugated nanoparticles for calcification targeting. Colloids and Surfaces B Biointerfaces. 142. 344–350. 25 indexed citations
20.
Wang, Yingjun, Guanglin Zhu, Nanying Li, et al.. (2015). Small molecules and their controlled release that induce the osteogenic/chondrogenic commitment of stem cells. Biotechnology Advances. 33(8). 1626–1640. 55 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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