Lijun Zhao

1.3k total citations · 1 hit paper
33 papers, 1.0k citations indexed

About

Lijun Zhao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atmospheric Science. According to data from OpenAlex, Lijun Zhao has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 16 papers in Media Technology and 10 papers in Atmospheric Science. Recurrent topics in Lijun Zhao's work include Remote-Sensing Image Classification (16 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Remote Sensing and Land Use (10 papers). Lijun Zhao is often cited by papers focused on Remote-Sensing Image Classification (16 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Remote Sensing and Land Use (10 papers). Lijun Zhao collaborates with scholars based in China, Sri Lanka and France. Lijun Zhao's co-authors include Ping Tang, Wei Zhang, Lianzhi Huo, Zheng Zhang, Wei Zhang, Zheng Zhang, Andrew T. Hudak, Carlos Alberto Silva, Carine Klauberg and Midhun Mohan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Acta Materialia.

In The Last Decade

Lijun Zhao

29 papers receiving 975 citations

Hit Papers

Remote Sensing Image Scene Classification Using CNN-CapsNet 2019 2026 2021 2023 2019 100 200 300
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. Remote Sensing Image Scene Classification Using CNN-CapsNet
    2019 333 citations Ping Tang, Lijun Zhao et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lijun Zhao China 12 694 564 317 163 150 33 1.0k
Kun Zhu China 15 448 0.6× 368 0.7× 177 0.6× 151 0.9× 113 0.8× 31 896
Fan Hu China 12 977 1.4× 771 1.4× 389 1.2× 239 1.5× 189 1.3× 20 1.4k
Lihao Ni China 4 505 0.7× 469 0.8× 165 0.5× 113 0.7× 228 1.5× 7 885
Qiong Ran China 13 1.0k 1.5× 405 0.7× 498 1.6× 179 1.1× 173 1.2× 37 1.3k
Junping Zhang China 20 1.2k 1.7× 632 1.1× 546 1.7× 201 1.2× 171 1.1× 167 1.7k
Emmanuel Christophe France 10 484 0.7× 317 0.6× 196 0.6× 158 1.0× 99 0.7× 21 824
Wenyuan Li China 13 492 0.7× 324 0.6× 208 0.7× 130 0.8× 130 0.9× 16 852
Biplab Banerjee India 20 660 1.0× 669 1.2× 231 0.7× 125 0.8× 421 2.8× 123 1.3k
Shunyi Zheng China 14 833 1.2× 701 1.2× 321 1.0× 113 0.7× 137 0.9× 64 1.4k

Countries citing papers authored by Lijun Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Lijun Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijun Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Lijun Zhao. A scholar is included among the top collaborators of Lijun 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 Lijun Zhao. Lijun 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.
2.
Gao, Hongbo, et al.. (2024). ALNet: An adaptive channel attention network with local discrepancy perception for accurate indoor visual localization. Expert Systems with Applications. 250. 123792–123792. 5 indexed citations
3.
Kang, Yu, et al.. (2024). Multimodal Fusion Induced Attention Network for Industrial VOCs Detection. IEEE Transactions on Artificial Intelligence. 5(12). 6385–6398. 1 indexed citations
4.
Zhao, Chuanxin, et al.. (2024). Robust face recognition model based sample mining and loss functions. Knowledge-Based Systems. 302. 112330–112330. 3 indexed citations
5.
Xu, Zhenyi, et al.. (2024). FSPDD: A double-branch attention guided network for few-shot PCB defect detection. Multimedia Tools and Applications. 84(19). 21345–21371. 1 indexed citations
6.
Tang, Ping, et al.. (2021). Review of data augmentation for image in deep learning. Journal of Image and Graphics. 26(3). 487–502. 26 indexed citations
7.
Tang, Ping, et al.. (2021). Few-Shot Object Detection of Remote Sensing Images via Two-Stage Fine-Tuning. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 58 indexed citations
8.
Zhu, Zheng, Wenhui Diao, Lijun Zhao, et al.. (2020). DIAMONDNET: SHIP DETECTION IN REMOTE SENSING IMAGES BY EXTRACTING AND CLUSTERING KEYPOINTS IN A DIAMOND. SHILAP Revista de lepidopterología. V-2-2020. 625–632. 7 indexed citations
9.
Tang, Ping, et al.. (2019). SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline In Vitro. IEEE Geoscience and Remote Sensing Letters. 16(7). 1046–1050. 79 indexed citations
10.
Zhao, Lijun, et al.. (2019). Remote sensing image sample dataset of land cover types in China. China Scientific Data. 4(2). 21.86101/csdata.2018.0058.zh–21.86101/csdata.2018.0058.zh. 2 indexed citations
11.
Huo, Lianzhi, Carlos Alberto Silva, Carine Klauberg, et al.. (2018). Supervised spatial classification of multispectral LiDAR data in urban areas. PLoS ONE. 13(10). e0206185–e0206185. 39 indexed citations
12.
Zhao, Lijun, Wei Zhang, & Ping Tang. (2018). Analysis of the inter-dataset representation ability of deep features for high spatial resolution remote sensing image scene classification. Multimedia Tools and Applications. 78(8). 9667–9689. 11 indexed citations
13.
Huo, Lianzhi, Lijun Zhao, & Ping Tang. (2016). Hyperspectral image classification with sparse representation classifier and active learning. 6. 1–5. 3 indexed citations
14.
Zhao, Lijun, et al.. (2016). Scalability analysis of typical remote sensing data classification methods: A case of remote sensing image scene. National Remote Sensing Bulletin. 20(2). 157–171. 2 indexed citations
15.
Zhao, Lijun, Ping Tang, & Lianzhi Huo. (2016). Feature significance-based multibag-of-visual-words model for remote sensing image scene classification. Journal of Applied Remote Sensing. 10(3). 35004–35004. 100 indexed citations
16.
Zhao, Lijun, et al.. (2016). Framework of remote sensing image automatic processing with "invariant feature point set" as control data set. National Remote Sensing Bulletin. 20(5). 1126–1137. 6 indexed citations
17.
Zhao, Lijun, Ping Tang, & Lianzhi Huo. (2014). A 2-D wavelet decomposition-based bag-of-visual-words model for land-use scene classification. International Journal of Remote Sensing. 35(6). 2296–2310. 66 indexed citations
18.
Zhao, Lijun, Lianzhi Huo, & Ping Tang. (2014). A bag-of-visual-words model based framework for object-oriented land-cover classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9260. 92603S–92603S. 2 indexed citations
19.
Zhao, Lijun, Ping Tang, & Lianzhi Huo. (2014). Land-Use Scene Classification Using a Concentric Circle-Structured Multiscale Bag-of-Visual-Words Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(12). 4620–4631. 154 indexed citations
20.
Zhao, Lijun & Jiakui Tang. (2010). Content-based image retrieval using optimal feature combination and relevance feedback. Knowledge Repository of Yantai Institute of Coastal Zone Research, CAS (Yantai Institute of Coastal Zone Research). V4–436. 6 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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