Baofeng Guo

633 total citations
17 papers, 486 citations indexed

About

Baofeng Guo is a scholar working on Media Technology, Atmospheric Science and Biomedical Engineering. According to data from OpenAlex, Baofeng Guo has authored 17 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Media Technology, 6 papers in Atmospheric Science and 6 papers in Biomedical Engineering. Recurrent topics in Baofeng Guo's work include Remote-Sensing Image Classification (9 papers), Remote Sensing and Land Use (6 papers) and Face and Expression Recognition (4 papers). Baofeng Guo is often cited by papers focused on Remote-Sensing Image Classification (9 papers), Remote Sensing and Land Use (6 papers) and Face and Expression Recognition (4 papers). Baofeng Guo collaborates with scholars based in United Kingdom, China and Hong Kong. Baofeng Guo's co-authors include Mark Nixon, R.I. Damper, Steve R. Gunn, James D. B. Nelson, Sina Samangooei, Thyagaraju Damarla, Wan-Chi Siu, Kin‐Man Lam, Huimin Lu and Yuming Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Optics Express.

In The Last Decade

Baofeng Guo

17 papers receiving 460 citations

Peers

Baofeng Guo
Baofeng Guo
Citations per year, relative to Baofeng Guo Baofeng Guo (= 1×) peers José F. López

Countries citing papers authored by Baofeng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Baofeng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baofeng Guo

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

All Works

17 of 17 papers shown
1.
Guo, Baofeng. (2020). Enriching absorption features for hyperspectral materials identification. Optics Express. 28(3). 4127–4127. 2 indexed citations
2.
Guo, Baofeng. (2019). Hyperspectral Image Classification via Matching Absorption Features. IEEE Access. 7. 131039–131049. 8 indexed citations
3.
Guo, Baofeng. (2019). Entropy-Mediated Decision Fusion for Remotely Sensed Image Classification. Remote Sensing. 11(3). 352–352. 6 indexed citations
4.
Gu, Yu, Ying Xu, & Baofeng Guo. (2018). Hyperspectral Image Classification by Combination of Spatial-spectral Features and Ensemble Extreme Learning Machines. SHILAP Revista de lepidopterología. 2 indexed citations
5.
Lu, Huimin, et al.. (2017). A shadow removal method for tesseract text recognition. 1–5. 8 indexed citations
6.
Guo, Baofeng, R.I. Damper, Steve R. Gunn, & James D. B. Nelson. (2014). Improving hyperspectral band selection by constructing an estimated reference map. Journal of Applied Remote Sensing. 8(1). 83692–83692. 9 indexed citations
8.
Guo, Baofeng, et al.. (2011). Band selection for hyperspectral image classification by a sliding window model. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8006. 80061G–80061G. 1 indexed citations
9.
Guo, Baofeng, Mark Nixon, & Thyagaraju Damarla. (2009). Acoustic vehicle classification by fusing with semantic annotation. ePrints Soton (University of Southampton). 232–239. 5 indexed citations
10.
Guo, Baofeng, Mark Nixon, & Thyagaraju Damarla. (2008). Acoustic information fusion for ground vehicle classification. ePrints Soton (University of Southampton). 1–7. 25 indexed citations
11.
Guo, Baofeng, Steve R. Gunn, R.I. Damper, & James D. B. Nelson. (2008). Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification. IEEE Transactions on Image Processing. 17(4). 622–629. 155 indexed citations
12.
Guo, Baofeng & Mark Nixon. (2008). Gait Feature Subset Selection by Mutual Information. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 39(1). 36–46. 104 indexed citations
13.
Samangooei, Sina, Baofeng Guo, & Mark Nixon. (2008). The Use of Semantic Human Description as a Soft Biometric. 1–7. 47 indexed citations
14.
Guo, Baofeng, R.I. Damper, Steve R. Gunn, & James D. B. Nelson. (2007). A fast separability-based feature-selection method for high-dimensional remotely sensed image classification. Pattern Recognition. 41(5). 1653–1662. 81 indexed citations
15.
Guo, Baofeng, et al.. (2007). A new Gas Recognition Technique using On Chip Sensor Array Measurements. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 50–53. 3 indexed citations
16.
Guo, Baofeng. (2006). Verifying Parameters of Bayesian Belief Networks by Exploring the Impact Intensity. 723–728. 2 indexed citations
17.
Guo, Baofeng, et al.. (2002). Human face recognition using a spatially weighted modified Hausdorff distance. 8. 477–480. 22 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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