Zhaokui Li

1.6k total citations · 1 hit paper
82 papers, 1.2k citations indexed

About

Zhaokui Li is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Zhaokui Li has authored 82 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Media Technology, 25 papers in Computer Vision and Pattern Recognition and 21 papers in Biomedical Engineering. Recurrent topics in Zhaokui Li's work include Remote-Sensing Image Classification (35 papers), Remote Sensing and Land Use (17 papers) and Advanced Image Fusion Techniques (13 papers). Zhaokui Li is often cited by papers focused on Remote-Sensing Image Classification (35 papers), Remote Sensing and Land Use (17 papers) and Advanced Image Fusion Techniques (13 papers). Zhaokui Li collaborates with scholars based in China, United States and Australia. Zhaokui Li's co-authors include Qian Du, Wei Li, Yushi Chen, Yimin Xu, Congjie Gao, Xueli Gao, Ming Liu, Cuiwei Liu, Zhuoqun Fang and Jinrong He and has published in prestigious journals such as ACS Applied Materials & Interfaces, IEEE Transactions on Geoscience and Remote Sensing and Journal of Membrane Science.

In The Last Decade

Zhaokui Li

65 papers receiving 1.2k citations

Hit Papers

Deep Cross-Domain Few-Shot Learning for Hyperspectral Ima... 2021 2026 2022 2024 2021 50 100 150 200
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. Deep Cross-Domain Few-Shot Learning for Hyperspectral Image Classification
    2021 216 citations Zhaokui Li, Ming Liu et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers

Zhaokui Li
Shugen Wang China
Bin Qi China
Chenjie Wang China
Ling Jing China
Ziyi Chen China
Fang Shang China
Yuchen Guo China
Shugen Wang China
Zhaokui Li
Citations per year, relative to Zhaokui Li Zhaokui Li (= 1×) peers Shugen Wang

Countries citing papers authored by Zhaokui Li

Since Specialization
Citations

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

Fields of papers citing papers by Zhaokui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaokui Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaokui Li. A scholar is included among the top collaborators of Zhaokui 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 Zhaokui Li. Zhaokui 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.
Tian, Xinxia, Yangyang Wei, Lei Tian, et al.. (2025). Molecular design-driven sub-nanometer cavity engineering in polyamide via programmable caprolactam modulation for high-performance SWRO membranes. Journal of Membrane Science. 733. 124351–124351. 1 indexed citations
2.
Fang, Zhuoqun, et al.. (2025). Dual-Domain Multi-Task Learning-Based Domain Adaptation for Hyperspectral Image Classification. Remote Sensing. 17(9). 1592–1592.
3.
He, Jinrong, et al.. (2025). Few-shot tire tracks recognition based on metric learning. Engineering Applications of Artificial Intelligence. 156. 111188–111188.
4.
Li, Zhaokui, et al.. (2025). Lifelong Learning With Adaptive Knowledge Fusion and Class Margin Dynamic Adjustment for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–19.
5.
Wang, Chuanyun, et al.. (2025). Efficient fusion network with label generation and branch transformations for visible and infrared images fusion. Infrared Physics & Technology. 150. 105916–105916. 1 indexed citations
6.
Gong, Xue‐Wei, Yanyan Liu, Zhaokui Li, et al.. (2025). Xylem hydraulic impairment due to stronger drought stress accounts for the reduced crown vitality and growth performance of Mongolian pine trees in higher-density plantations. Agricultural and Forest Meteorology. 372. 110722–110722.
7.
8.
Wang, Jian, Haitao Wang, Xinxia Tian, et al.. (2024). Exploration of the critical structural parameter of polyamide decisive for permeability based on SWRO membrane regulated by environmental-friendly solvent Gamma-valerolactone. Journal of Membrane Science. 709. 123093–123093. 6 indexed citations
9.
Li, Zhaokui, et al.. (2024). Prediction and mapping of leaf water content in Populus alba var. pyramidalis using hyperspectral imagery. Plant Methods. 20(1). 184–184. 3 indexed citations
10.
Chen, Chengcheng, Tairan Wang, Weijia Zhang, et al.. (2024). An RGB image dataset for seed germination prediction and vigor detection - maize. Frontiers in Plant Science. 15. 1341335–1341335. 6 indexed citations
11.
He, Jinrong, et al.. (2024). Semantic Guided prototype learning for Cross-Domain Few-Shot hyperspectral image classification. Expert Systems with Applications. 260. 125453–125453. 6 indexed citations
12.
Fang, Zhuoqun, et al.. (2024). Masked Self-Distillation Domain Adaptation for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–20. 12 indexed citations
13.
Li, Zhaokui, Ming Liu, Yushi Chen, et al.. (2021). Deep Cross-Domain Few-Shot Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–18. 216 indexed citations breakdown →
14.
Li, Zhaokui, et al.. (2021). Hyperspectral Image Classification With Multiattention Fusion Network. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 37 indexed citations
15.
Xu, Yimin, Zhaokui Li, Wei Li, et al.. (2021). Dual-Channel Residual Network for Hyperspectral Image Classification With Noisy Labels. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 60 indexed citations
16.
Wang, Jian, Xueli Gao, Hui Yu, et al.. (2019). Accessing of graphene oxide (GO) nanofiltration membranes for microbial and fouling resistance. Separation and Purification Technology. 215. 91–101. 32 indexed citations
17.
Yang, Yang, Xueli Gao, Zhaokui Li, et al.. (2017). Porous membranes in pressure-assisted forward osmosis: Flux behavior and potential applications. Journal of Industrial and Engineering Chemistry. 60. 160–168. 28 indexed citations
18.
Gao, Xueli, et al.. (2015). Removal of fluoride by nature diatomite from high-fluorine water: An appropriate pretreatment for nanofiltration process. Desalination. 369. 97–104. 69 indexed citations
19.
Wang, Jiali, Xueli Gao, Jian Wang, et al.. (2015). O-(Carboxymethyl)-chitosan Nanofiltration Membrane Surface Functionalized with Graphene Oxide Nanosheets for Enhanced Desalting Properties. ACS Applied Materials & Interfaces. 7(7). 4381–4389. 67 indexed citations
20.
He, Jinrong, et al.. (2014). Margin Discriminant Projection for Dimensionality Reduction. 5 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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