Lin Zhao

679 total citations
57 papers, 507 citations indexed

About

Lin Zhao is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Lin Zhao has authored 57 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Media Technology, 16 papers in Computer Vision and Pattern Recognition and 9 papers in Atmospheric Science. Recurrent topics in Lin Zhao's work include Remote-Sensing Image Classification (21 papers), Remote Sensing and Land Use (9 papers) and Minerals Flotation and Separation Techniques (7 papers). Lin Zhao is often cited by papers focused on Remote-Sensing Image Classification (21 papers), Remote Sensing and Land Use (9 papers) and Minerals Flotation and Separation Techniques (7 papers). Lin Zhao collaborates with scholars based in China, United States and Russia. Lin Zhao's co-authors include Jianhui Wu, Wenjing Hu, Guoyun Zhang, Qiming Liao, Tao Peng, Weihua Gui, Peng Xia, W. Windisch, Xi Li and Yongfang Xie and has published in prestigious journals such as Analytical Chemistry, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Lin Zhao

52 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Zhao China 12 227 103 99 67 59 57 507
Haixia Xu China 12 105 0.5× 50 0.5× 166 1.7× 87 1.3× 9 0.2× 52 473
Hamid Saeed Khan Pakistan 5 334 1.5× 134 1.3× 159 1.6× 55 0.8× 12 0.2× 10 652
Yinghui Xing China 12 266 1.2× 68 0.7× 239 2.4× 68 1.0× 35 0.6× 37 502
Jianfang Shi China 5 247 1.1× 67 0.7× 200 2.0× 87 1.3× 6 0.1× 10 597
Aiye Shi China 11 180 0.8× 112 1.1× 179 1.8× 58 0.9× 15 0.3× 55 455
Divya Meena Sundaram India 12 136 0.6× 77 0.7× 91 0.9× 42 0.6× 16 0.3× 37 359
Hsin-Hua Ho Taiwan 4 172 0.8× 127 1.2× 70 0.7× 63 0.9× 8 0.1× 5 333
Gang Zhang China 13 86 0.4× 61 0.6× 250 2.5× 112 1.7× 14 0.2× 57 624
Long Tian China 14 318 1.4× 203 2.0× 200 2.0× 70 1.0× 9 0.2× 47 743

Countries citing papers authored by Lin Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Lin Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Zhao. A scholar is included among the top collaborators of Lin Zhao 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 Lin Zhao. Lin Zhao 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.
Wu, Jianhui, et al.. (2025). Boosting Multimodal Remote Sensing Image Classification via Prompt-Driven Fusion. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations
2.
Zhang, Guoyun, et al.. (2025). A Unified Self-Supervised Learning Framework for Hyperspectral Image Classification. IEEE Access. 13. 49874–49890. 2 indexed citations
3.
Zhao, Lin, et al.. (2025). BAN: A Boundary-Aware Network Based on KAN for Robust Hyperspectral Image Classification Against Adversarial Attacks. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13.
4.
Zhang, Xiyang, Dilong Chen, Hua Yang, et al.. (2025). Eupalinolide A inhibits cancer progression and induces ferroptosis and apoptosis by targeting the AMPK/mTOR/SCD1 signalling in non-small cell lung cancer. Frontiers in Pharmacology. 16. 1649314–1649314.
5.
Zhao, Lin, et al.. (2025). Collaborative Spectral–Spatial Representation Learning for Hyperspectral and LiDAR Classification Under Limited Samples. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations
6.
Zhang, Guifeng, et al.. (2024). Intelligent agent for hyperspectral image classification with noisy labels: a deep reinforcement learning framework. International Journal of Remote Sensing. 45(9). 2939–2964. 3 indexed citations
7.
Liao, Qiming, et al.. (2024). Joint negative–positive-learning based sample reweighting for hyperspectral image classification with label noise. Pattern Recognition Letters. 183. 98–103. 2 indexed citations
8.
Tan, Ping, Jia Li, Guoyun Zhang, & Lin Zhao. (2024). Multi-Scale and Multi-Modal Contrastive Learning for Hyperspectral and LiDAR Classification. 1–6.
9.
Zhao, Lin, et al.. (2024). Purified Contrastive Learning With Global and Local Representation for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 3 indexed citations
10.
Zhao, Lin, et al.. (2024). Progressive Contrastive Learning Based on Noisy Negatives Cleaning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 1 indexed citations
11.
Zhao, Lin, et al.. (2024). APNet: A Novel Antiperturbation Network for Robust Hyperspectral Image Classification Against Adversarial Attacks. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 4 indexed citations
12.
Zhang, Guoyun, et al.. (2023). A Hybrid Self-supervised Learning Framework For Hyperspectral Image Classification. 1–7. 3 indexed citations
13.
Li, Jia, et al.. (2023). VP-HOT: Visual Prompt for Hyperspectral Object Tracking. 1–5. 2 indexed citations
14.
Liao, Qiming, et al.. (2023). Graph Guided Transformer: An Image-Based Global Learning Framework for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 7 indexed citations
15.
Zhao, Lin, et al.. (2021). Robustness of inverse solutions for radiative transfer parameters from light signals measured with different detection configurations. Journal of Quantitative Spectroscopy and Radiative Transfer. 274. 107883–107883. 3 indexed citations
16.
Lou, Jianghua, et al.. (2020). Comparison of clinical diagnostic value of spiral CT with different dose in patients with early-stage peripheral lung cancer. Clinical & Translational Oncology. 23(6). 1128–1133. 4 indexed citations
17.
Wang, Wenjin, et al.. (2018). Rapid classification of micron-sized particles of sphere, cylinders and ellipsoids by diffraction image parameters combined with scattered light intensity. Journal of Quantitative Spectroscopy and Radiative Transfer. 224. 453–459. 9 indexed citations
18.
Tao, Cong, et al.. (2015). The protective effects of Masson pine pollen aqueous extract on CCl4-induced oxidative damage of human hepatic cells.. PubMed. 8(10). 17773–80. 11 indexed citations
19.
Tao, Cong, Lin Zhao, Long Ma, et al.. (2015). Anti-fibrotic effects of the Masson pine pollen aqueous extract on hepatic fibrosis rat model.. PubMed. 8(5). 4651–61. 12 indexed citations
20.
Liu, Qingguang, et al.. (2007). [Expression of heparanase and nuclear factor kappa B in pancreatic adenocarcinoma].. PubMed. 27(8). 1267–70. 4 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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