Jun-Bao Li

701 total citations
50 papers, 489 citations indexed

About

Jun-Bao Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Jun-Bao Li has authored 50 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 11 papers in Media Technology and 9 papers in Aerospace Engineering. Recurrent topics in Jun-Bao Li's work include Face and Expression Recognition (21 papers), Image Retrieval and Classification Techniques (12 papers) and Remote-Sensing Image Classification (9 papers). Jun-Bao Li is often cited by papers focused on Face and Expression Recognition (21 papers), Image Retrieval and Classification Techniques (12 papers) and Remote-Sensing Image Classification (9 papers). Jun-Bao Li collaborates with scholars based in China, Taiwan and Australia. Jun-Bao Li's co-authors include Jeng‐Shyang Pan, Zhe‐Ming Lu, Lujia Han, Haiyan Zhang, Minsheng Lu, Yaping Li, Ping Fu, Mingzhu Xu, Huijun Gao and Zhi He and has published in prestigious journals such as Bioresource Technology, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Jun-Bao Li

45 papers receiving 460 citations

Peers

Jun-Bao Li
Pengpeng Liu China
Runmin Liu China
Xinying Wang China
Zhi-Kai Huang China
Christophe Sabourin France
Zhichao Song China
Amir M. Ghalamzan E. United Kingdom
Shenglin Mu Japan
Pengpeng Liu China
Jun-Bao Li
Citations per year, relative to Jun-Bao Li Jun-Bao Li (= 1×) peers Pengpeng Liu

Countries citing papers authored by Jun-Bao Li

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Bao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun-Bao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Bao Li. A scholar is included among the top collaborators of Jun-Bao 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 Jun-Bao Li. Jun-Bao 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.
2.
Na, Zhang, et al.. (2025). A thermo-chemo-mechanical coupled polycrystalline phase field model for thermal barrier coating under CMAS infiltration and corrosion. European Journal of Mechanics - A/Solids. 116. 105849–105849.
3.
Guo, Hong, et al.. (2025). Cross-Spectral Gaussian Splatting with Spatial Occupancy Consistency. Proceedings of the AAAI Conference on Artificial Intelligence. 39(3). 3229–3237.
4.
Li, Jun-Bao, et al.. (2024). The synergetic effect of ultrafine grinding and alkaline hydrogen peroxide pretreatment for the enzymatic saccharification of corn stover. Industrial Crops and Products. 223. 120186–120186. 4 indexed citations
5.
Peng, Gaoliang, et al.. (2024). A Transformer-based network with adaptive spatial prior for visual tracking. Neurocomputing. 614. 128821–128821.
6.
Wang, Pengcheng, et al.. (2024). Multidimensional Evaluation Methods for Deep Learning Models in Target Detection for SAR Images. Remote Sensing. 16(6). 1097–1097. 4 indexed citations
7.
Li, Jun-Bao, et al.. (2024). UAV Autonomous Navigation Based on Deep Reinforcement Learning in Highly Dynamic and High-Density Environments. Drones. 8(9). 516–516. 7 indexed citations
8.
Li, Yifan, Jun-Bao Li, & Jeng‐Shyang Pan. (2019). Hyperspectral Image Recognition Using SVM Combined Deep Learning. 網際網路技術學刊. 20(3). 851–859. 17 indexed citations
9.
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Chen, Xiuyuan, Xiyuan Peng, Peng Yu, & Jun-Bao Li. (2016). The Classification of Synthetic Aperture Radar Image Target Based on Deep Learning.. J. Inf. Hiding Multim. Signal Process.. 7. 1345–1353. 3 indexed citations
11.
Chen, Xiuyuan, Xiyuan Peng, Jun-Bao Li, & Peng Yu. (2016). Overview of Deep Kernel Learning Based Techniques and Applications.. 1. 83–98. 7 indexed citations
12.
Zhang, Delong, et al.. (2014). Optimizing matrix mapping with data dependent kernel for image classification. 5(1). 72–79. 8 indexed citations
13.
He, Zhi & Jun-Bao Li. (2014). Multiple data-dependent kernel for classification of hyperspectral images. Expert Systems with Applications. 42(3). 1118–1135. 18 indexed citations
14.
Deng, Zongquan, et al.. (2013). Quasi-static and Modal Analysis of Bridge-Type Compliant Mechanism with Flexure Hinges. 27. 102–106. 1 indexed citations
15.
16.
Li, Jun-Bao, Yu Peng, & Datong Liu. (2012). Quasiconformal kernel common locality discriminant analysis with application to breast cancer diagnosis. Information Sciences. 223. 256–269. 11 indexed citations
17.
Li, Jun-Bao, Jeng‐Shyang Pan, & Shyi‐Ming Chen. (2011). Kernel Self-optimized Locality Preserving Discriminant Analysis for feature extraction and recognition. Neurocomputing. 74(17). 3019–3027. 18 indexed citations
18.
Cui, Dan & Jun-Bao Li. (2009). A Novel Optimal Bus Design Method for Modular Spacecraft.. 1499–1502. 1 indexed citations
19.
Li, Jun-Bao, et al.. (2006). Discriminant Feature Fusion Strategy for Supervised Learning. 301–304. 3 indexed citations
20.
Li, Jun-Bao, et al.. (2006). A Novel Matrix Norm Based Gaussian Kernel for Feature Extraction of Images. 305–308. 2 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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