Xiangzhi Bai

6.2k total citations · 2 hit papers
197 papers, 4.8k citations indexed

About

Xiangzhi Bai is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Xiangzhi Bai has authored 197 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Computer Vision and Pattern Recognition, 78 papers in Media Technology and 78 papers in Aerospace Engineering. Recurrent topics in Xiangzhi Bai's work include Infrared Target Detection Methodologies (67 papers), Advanced Image Fusion Techniques (51 papers) and Advanced Measurement and Detection Methods (40 papers). Xiangzhi Bai is often cited by papers focused on Infrared Target Detection Methodologies (67 papers), Advanced Image Fusion Techniques (51 papers) and Advanced Measurement and Detection Methods (40 papers). Xiangzhi Bai collaborates with scholars based in China, Australia and United States. Xiangzhi Bai's co-authors include Fugen Zhou, Bindang Xue, Yu Zhang, Peng Wang, Changming Sun, Tao Wang, Zhaoying Liu, Yuxuan Zhang, Zhiguo Chen and Li Zhang and has published in prestigious journals such as Nature Communications, Genetics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xiangzhi Bai

191 papers receiving 4.6k citations

Hit Papers

Analysis of new top-hat transformation and the applicatio... 2010 2026 2015 2020 2010 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangzhi Bai China 34 2.1k 2.1k 2.0k 1.2k 441 197 4.8k
Fugen Zhou China 30 1.4k 0.7× 1.3k 0.6× 1.2k 0.6× 921 0.8× 493 1.1× 179 3.5k
Wei An China 35 2.0k 0.9× 1.5k 0.7× 1.3k 0.6× 960 0.8× 149 0.3× 220 4.7k
Barbara Zitová Czechia 14 4.1k 1.9× 1.6k 0.8× 1.1k 0.6× 186 0.2× 536 1.2× 54 5.6k
J. Illingworth United Kingdom 24 4.4k 2.1× 834 0.4× 1.1k 0.6× 425 0.3× 264 0.6× 90 6.3k
Hong Li China 25 1.1k 0.5× 1.7k 0.8× 992 0.5× 1.3k 1.1× 215 0.5× 200 4.0k
Yong Ma China 36 3.5k 1.7× 2.2k 1.1× 4.1k 2.1× 676 0.6× 243 0.6× 200 6.8k
Joaquím Salví Spain 31 3.6k 1.7× 1.5k 0.7× 869 0.4× 747 0.6× 116 0.3× 131 5.3k
Kyoung Mu Lee South Korea 43 11.3k 5.4× 979 0.5× 4.3k 2.2× 523 0.4× 568 1.3× 194 12.7k
Johannes Totz United Kingdom 9 10.4k 4.9× 428 0.2× 4.8k 2.4× 352 0.3× 769 1.7× 12 12.5k
Junjun Jiang China 55 10.3k 4.9× 2.8k 1.3× 7.0k 3.5× 287 0.2× 332 0.8× 282 13.3k

Countries citing papers authored by Xiangzhi Bai

Since Specialization
Citations

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

Fields of papers citing papers by Xiangzhi Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangzhi Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangzhi Bai. A scholar is included among the top collaborators of Xiangzhi Bai 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 Xiangzhi Bai. Xiangzhi Bai 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.
Cai, Meng, et al.. (2025). Guided image filtering-conventional to deep models: A review and evaluation study. Computer Vision and Image Understanding. 252. 104278–104278.
2.
Li, Yanzhang, Yanan Zhang, Xiang Shan Ji, et al.. (2025). Back to chromite as a mineralogical strategy for long-term chromium pollution control. Nature Communications. 16(1). 1975–1975. 6 indexed citations
3.
Guo, Sheng, et al.. (2025). Infrared small target detection based on multi-directionality and sparse low-rank recovery. Infrared Physics & Technology. 148. 105828–105828.
4.
Cai, Meng, et al.. (2024). Unsupervised Domain Adaptation for Cross-Modality Cerebrovascular Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(4). 2871–2884. 2 indexed citations
6.
Shmatko, Artem, Alexander Arnold, David Horst, et al.. (2024). Teacher-student collaborated multiple instance learning for pan-cancer PDL1 expression prediction from histopathology slides. Nature Communications. 15(1). 3063–3063. 10 indexed citations
7.
Li, Yanzhang, Yan Li, Yanan Zhang, et al.. (2023). Electron transfer rules of minerals under pressure informed by machine learning. Nature Communications. 14(1). 1815–1815. 19 indexed citations
8.
Cai, Meng, et al.. (2023). Guided Image Filtering: A Survey and Evaluation Study. 1–5. 2 indexed citations
9.
Wang, Yadong, et al.. (2023). Revelation of hidden 2D atmospheric turbulence strength fields from turbulence effects in infrared imaging. Nature Computational Science. 3(8). 687–699. 4 indexed citations
10.
Wei, Guang-Mei, et al.. (2019). Weighted Schatten P-Norm Minimization with Local and Nonlocal Constraints for Noisy Image Completion. 2746–2750. 2 indexed citations
11.
Zhou, Fugen, et al.. (2019). Mutual Guidance-Based Saliency Propagation for Infrared Pedestrian Images. IEEE Access. 7. 113355–113371. 3 indexed citations
12.
Liu, Bo, et al.. (2018). Bone Age Assessment Based on Two-Stage Deep Neural Networks. 1–6. 8 indexed citations
13.
Bai, Xiangzhi & Haonan Liu. (2016). Edge enhanced morphology for infrared image analysis. Infrared Physics & Technology. 80. 44–57. 13 indexed citations
14.
Xue, Bindang, et al.. (2015). Attitude measurement by using target Schlieren graph and 3D digital model in wind tunnel. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9443. 944323–944323. 1 indexed citations
15.
Bai, Xiangzhi, Fugen Zhou, & Bindang Xue. (2012). Multiple linear feature detection based on multiple-structuring-element center-surround top-hat transform. Applied Optics. 51(21). 5201–5201. 10 indexed citations
16.
Bai, Xiangzhi. (2012). Alternating sequential operators from center-surround top-hat transform. Optics & Laser Technology. 48. 539–548. 2 indexed citations
17.
Bai, Xiangzhi, Fugen Zhou, & Bindang Xue. (2011). Fusion of infrared and visual images through region extraction by using multi scale center-surround top-hat transform. Optics Express. 19(9). 8444–8444. 93 indexed citations
18.
Bai, Xiangzhi, et al.. (2011). Image-guided Navigation System for Robot-based Vessel intervention Surgery Based on Conventional Single Plane C- Arm. Procedia Environmental Sciences. 8. 276–283. 6 indexed citations
19.
Bai, Xiangzhi & Fugen Zhou. (2010). New Alternating Sequential Filters and the application for impulsive noise removal. 2010 3rd International Congress on Image and Signal Processing. 1088–1091. 3 indexed citations
20.
Bai, Xiangzhi. (2007). Simple and effective object tracking based on data fusion particle filter. Infrared and Laser Engineering. 1 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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