Baohua Wu

1.3k total citations · 1 hit paper
21 papers, 888 citations indexed

About

Baohua Wu is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Baohua Wu has authored 21 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Analytical Chemistry. Recurrent topics in Baohua Wu's work include Spectroscopy and Chemometric Analyses (5 papers), Medical Image Segmentation Techniques (3 papers) and Smart Agriculture and AI (3 papers). Baohua Wu is often cited by papers focused on Spectroscopy and Chemometric Analyses (5 papers), Medical Image Segmentation Techniques (3 papers) and Smart Agriculture and AI (3 papers). Baohua Wu collaborates with scholars based in China, United States and Taiwan. Baohua Wu's co-authors include James C. Gee, Nicholas J. Tustison, Brian Avants, Gang Song, Michael Stauffer, Chu Zhang, Lei Feng, Yong He, Susu Zhu and Wen‐Hui Lin and has published in prestigious journals such as Sensors, Frontiers in Plant Science and Computers and Electronics in Agriculture.

In The Last Decade

Baohua Wu

19 papers receiving 872 citations

Hit Papers

The Insight ToolKit image registration framework 2014 2026 2018 2022 2014 100 200 300 400

Peers

Baohua Wu
Baohua Wu
Citations per year, relative to Baohua Wu Baohua Wu (= 1×) peers Tommy Löfstedt

Countries citing papers authored by Baohua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Baohua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baohua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Baohua Wu. A scholar is included among the top collaborators of Baohua Wu 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 Baohua Wu. Baohua Wu 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.
Feng, Lei, et al.. (2024). Detection of oilseed rape clubroot based on low-field nuclear magnetic resonance imaging. Computers and Electronics in Agriculture. 218. 108687–108687. 7 indexed citations
2.
Zhang, Chu, Lei Zhou, Qinlin Xiao, et al.. (2022). End-to-End Fusion of Hyperspectral and Chlorophyll Fluorescence Imaging to Identify Rice Stresses. Plant Phenomics. 2022. 9851096–9851096. 29 indexed citations
3.
Feng, Lei, Baohua Wu, Shuangshuang Chen, Chu Zhang, & Yong He. (2022). Application of visible/near-infrared hyperspectral imaging with convolutional neural networks to phenotype aboveground parts to detect cabbage Plasmodiophora brassicae (clubroot). Infrared Physics & Technology. 121. 104040–104040. 14 indexed citations
4.
Feng, Lei, Baohua Wu, Susu Zhu, Yong He, & Chu Zhang. (2021). Application of Visible/Infrared Spectroscopy and Hyperspectral Imaging With Machine Learning Techniques for Identifying Food Varieties and Geographical Origins. Frontiers in Nutrition. 8. 680357–680357. 75 indexed citations
5.
Feng, Lei, Baohua Wu, Yong He, & Chu Zhang. (2021). Hyperspectral Imaging Combined With Deep Transfer Learning for Rice Disease Detection. Frontiers in Plant Science. 12. 693521–693521. 57 indexed citations
6.
Feng, Lei, Baohua Wu, Susu Zhu, et al.. (2020). Investigation on Data Fusion of Multisource Spectral Data for Rice Leaf Diseases Identification Using Machine Learning Methods. Frontiers in Plant Science. 11. 577063–577063. 68 indexed citations
7.
Lin, Wen‐Hui, et al.. (2018). A face-recognition approach based on secret sharing for user authentication in public-transportation security. 2018 IEEE International Conference on Applied System Invention (ICASI). 1350–1353. 8 indexed citations
8.
Lin, Wen‐Hui, et al.. (2018). Using convolutional neural networks to network intrusion detection for cyber threats. 2018 IEEE International Conference on Applied System Invention (ICASI). 1107–1110. 78 indexed citations
9.
Wang, Ping, Wen‐Hui Lin, Baohua Wu, Kuo‐Ming Chao, & Chi‐Chun Lo. (2018). A Cross-Age Face Recognition Approach Using Fog Computing Architecture for User Authentication on Mobile Devices. 10. 86–93. 5 indexed citations
10.
Avants, Brian, Nicholas J. Tustison, Michael Stauffer, et al.. (2014). The Insight ToolKit image registration framework. Frontiers in Neuroinformatics. 8. 44–44. 426 indexed citations breakdown →
11.
Wu, Baohua. (2014). Interactive Medical Image Registration With Multigrid Methods And Bounded Biharmonic Functions. ScholarlyCommons (University of Pennsylvania).
12.
Zhang, Zhixian, Jiashu Cao, Lin Qiu, Jingjing Jiang, & Baohua Wu. (2013). BcSKS11, a SKS gene from pollinated pistils of Chinese cabbage pak choi, is expressed continuously during the male gametophyte development, pollen germination and pollen-tube growth processes. Australian Journal of Botany. 61(6). 446–454. 1 indexed citations
13.
Song, Gang, Yang Liu, Baohua Wu, Brian Avants, & James C. Gee. (2013). Using Region Trajectories to Construct an Accurate and Efficient Polyaffine Transform Model. Lecture notes in computer science. 23. 668–679. 1 indexed citations
14.
Wu, Baohua, et al.. (2011). Birth defects detection algorithm based on emerging patterns. Journal of Computer Applications. 31(4). 885–889. 1 indexed citations
16.
Ranji, Mahsa, Shoko Nioka, He N. Xu, et al.. (2009). FLUORESCENT IMAGES OF MITOCHONDRIAL REDOX STATES ININ SITUMOUSE HYPOXIC ISCHEMIC INTESTINES. Journal of Innovative Optical Health Sciences. 2(4). 365–374. 15 indexed citations
17.
Xu, He N., Baohua Wu, Shoko Nioka, Britton Chance, & Lin Z. Li. (2009). Calibration of redox scanning for tissue samples. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7174. 71742F–71742F. 18 indexed citations
18.
Xu, He N., Baohua Wu, Shoko Nioka, Britton Chance, & Lin Z. Li. (2009). QUANTITATIVE REDOX SCANNING OF TISSUE SAMPLES USING A CALIBRATION PROCEDURE. Journal of Innovative Optical Health Sciences. 2(4). 375–385. 28 indexed citations
19.
Xu, He N., Baohua Wu, Shoko Nioka, Britton Chance, & Lin Z. Li. (2009). Calibration of CCD-based redox imaging for biological tissues. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7262. 72622F–72622F. 6 indexed citations
20.
Wu, Baohua, et al.. (1993). Observations on sporogenesis of myxobolus drjagini,the pathogen of the twist disease in silver carp. 39(1). 84–87. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026