Lina Yang

537 total citations
39 papers, 413 citations indexed

About

Lina Yang is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lina Yang has authored 39 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Media Technology, 18 papers in Atmospheric Science and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lina Yang's work include Remote-Sensing Image Classification (21 papers), Remote Sensing and Land Use (18 papers) and Advanced Image Fusion Techniques (9 papers). Lina Yang is often cited by papers focused on Remote-Sensing Image Classification (21 papers), Remote Sensing and Land Use (18 papers) and Advanced Image Fusion Techniques (9 papers). Lina Yang collaborates with scholars based in China, Macao and United States. Lina Yang's co-authors include Yuan Yan Tang, Huiwu Luo, Yang Lu, Haoliang Yuan, Xichun Li, Cheng Zhong, Xichun Li, Patrick S. P. Wang, Fengqi Zhang and Yulong Wang and has published in prestigious journals such as Nature Communications, Bioinformatics and Journal of Agricultural and Food Chemistry.

In The Last Decade

Lina Yang

38 papers receiving 402 citations

Peers

Lina Yang

CVPR

Seyyid Ahmed Medjahed Algeria

Mohammed Ouali Algeria

Yi Du China

Omar Nibouche United Kingdom

Kezhu Tan China

Yu Guan China

Ludovic Macaire France

Tamazouzt Ait Saadi Algeria

Manish Khare India

Zhe Yan China

Seyyid Ahmed Medjahed Algeria

Lina Yang

113 ×0.7

97 ×0.9

CVPR

66 ×0.7

58 ×0.8

21 ×0.4

Citations per year, relative to Lina Yang Lina Yang (= 1×) peers Seyyid Ahmed Medjahed

Countries citing papers authored by Lina Yang

Since Specialization

Citations

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

Fields of papers citing papers by Lina Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Yang

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

All Works

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20 of 20 papers shown

Huang, Fanghui, et al.. (2025). An effective exploration method based on N-step updated Dirichlet distribution and Dempster–Shafer theory for deep reinforcement learning. Engineering Applications of Artificial Intelligence. 149. 110443–110443.

Yang, Lina, et al.. (2025). A metal-free sigmatropic rearrangement/cyclization/aromatization cascade reaction of hydroxy/aminophenyl propargyl alcohols with fluoroalkanesulfinyl chlorides: synthesis of 3-fluoroalkanesulfonyl benzofurans and indoles. Organic Chemistry Frontiers. 12(9). 2920–2925. 1 indexed citations

McGuire, Daniel, Havell Markus, Lina Yang, et al.. (2024). Dissecting heritability, environmental risk, and air pollution causal effects using > 50 million individuals in MarketScan. Nature Communications. 15(1). 5357–5357. 3 indexed citations

Dong, Jiaqi, et al.. (2023). Experimental study on rebound and recompression deformation characteristics of different soils. Environmental Earth Sciences. 82(9). 7 indexed citations

Yang, Lina, et al.. (2021). Multi-scale spatial-spectral fusion based on multi-input fusion calculation and coordinate attention for hyperspectral image classification. Pattern Recognition. 122. 108348–108348. 32 indexed citations

Yang, Lina, et al.. (2018). A dual-objective vendor-managed inventory model for a single-vendor multi-retailersupply chain with fuzzy random demand. Journal of Intelligent & Fuzzy Systems. 35(1). 211–222. 5 indexed citations

Yang, Lina, et al.. (2017). An Improved Ant Colony Algorithm of Three Dimensional Path Planning. 2. 119–122. 4 indexed citations

Dong, Ping, Lidan Wang, Lina Yang, et al.. (2017). A UPF0118 family protein with uncharacterized function from the moderate halophile Halobacillus andaensis represents a novel class of Na+(Li+)/H+ antiporter. Scientific Reports. 7(1). 45936–45936. 14 indexed citations

Luo, Huiwu, Yuan Yan Tang, Yang Xu, Lina Yang, & Hong Li. (2017). Autoencoder with Extended Morphological Profile for Hyperspectral Image Classification. 11. 1–4. 4 indexed citations

10.

Yang, Lina, et al.. (2016). Chemical Profile of Floral Scent at Different Flower Developmental Stages ofrose de rescht(Rosa damascenaMill.) Cultivated in Beijing. Journal of Essential Oil Bearing Plants. 19(2). 433–443. 11 indexed citations

11.

Luo, Huiwu, Yuan Yan Tang, Yulong Wang, et al.. (2016). Hyperspectral Image Classification Based on Spectral–Spatial One-Dimensional Manifold Embedding. IEEE Transactions on Geoscience and Remote Sensing. 54(9). 5319–5340. 19 indexed citations

12.

Luo, Huiwu, Yuan Yan Tang, & Lina Yang. (2015). Subspace Learning via Local Probability Distribution for Hyperspectral Image Classification. Mathematical Problems in Engineering. 2015. 1–17. 1 indexed citations

13.

Luo, Huiwu, Yuan Yan Tang, Chunli Li, & Lina Yang. (2015). Local and Global Geometric Structure Preserving and Application to Hyperspectral Image Classification. Mathematical Problems in Engineering. 2015. 1–13. 7 indexed citations

14.

Wang, Zengping, et al.. (2015). Active power and reactive power dispatch of wind farm based on wavelet learning. International Journal of Machine Learning and Cybernetics. 9(2). 217–223. 5 indexed citations

15.

Yang, Lina, et al.. (2014). Implementation of 2D Discrete Wavelet Transform by Number Theoretic Transform and 2D Overlap‐Save Method. Mathematical Problems in Engineering. 2014(1). 3 indexed citations

16.

Wang, Yulong, et al.. (2014). Spectral-spatial hyperspectral image destriping using low-rank representation and Huber-Markov random fields. 305–310. 2 indexed citations

17.

Yuan, Haoliang, Yuan Yan Tang, Yang Lu, Lina Yang, & Huiwu Luo. (2014). Hyperspectral Image Classification Based on Regularized Sparse Representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(6). 2174–2182. 32 indexed citations

18.

Yuan, Haoliang, Yuan Yan Tang, Yang Lu, Lina Yang, & Huiwu Luo. (2014). Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(6). 2035–2043. 19 indexed citations

19.

Luo, Huiwu, Lina Yang, Haoliang Yuan, & Yuan Yan Tang. (2013). Dimension reduction with randomized anisotropic transform for hyperspectral image classification. 156–161. 4 indexed citations

20.

Yuan, Haoliang, Yang Lu, Lina Yang, Huiwu Luo, & Yuan Yan Tang. (2013). Sparse representation using contextual information for hyperspectral image classification. 53. 138–143. 3 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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