Xiaohui Luo

1.0k total citations
39 papers, 755 citations indexed

About

Xiaohui Luo is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaohui Luo has authored 39 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Molecular Biology and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaohui Luo's work include DNA and Biological Computing (14 papers), Advanced biosensing and bioanalysis techniques (12 papers) and Advanced Memory and Neural Computing (7 papers). Xiaohui Luo is often cited by papers focused on DNA and Biological Computing (14 papers), Advanced biosensing and bioanalysis techniques (12 papers) and Advanced Memory and Neural Computing (7 papers). Xiaohui Luo collaborates with scholars based in China, Spain and United States. Xiaohui Luo's co-authors include Hong Peng, Jun Wang, Xiaoxiao Song, Agustín Riscos–Núñez, Mario J. Pérez-Jímenez, Qian Yang, Tao Wang, Zhang Sun, Bo Li and Jun Wang and has published in prestigious journals such as Scientific Reports, IEEE Access and Information Sciences.

In The Last Decade

Xiaohui Luo

37 papers receiving 744 citations

Peers

Xiaohui Luo

EEE

CVPR

David Orellana-Martín Spain

Md. Shahjahan Bangladesh

Tao Peng China

Qiuwen Zhang China

Agustín Riscos–Núñez Spain

Haina Rong China

Binghuang Cai China

Tatiana Kalganova United Kingdom

Changjun Zhou China

David Orellana-Martín Spain

Xiaohui Luo

455 ×1.4

150 ×0.6

EEE

147 ×0.7

46 ×0.2

CVPR

237 ×2.5

Citations per year, relative to Xiaohui Luo Xiaohui Luo (= 1×) peers David Orellana-Martín

Countries citing papers authored by Xiaohui Luo

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohui Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohui Luo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Yu, et al.. (2025). ViDroneNet: An efficient detector specialized for target detection in aerial images. Digital Signal Processing. 164. 105270–105270. 1 indexed citations

Liu, Yu, et al.. (2025). Recursive feedback-based feature refinement network for camouflaged object detection. Digital Signal Processing. 168. 105577–105577.

Yang, Bo, et al.. (2024). Industrial defect detection and location based on greedy membrane clustering algorithm. Digital Signal Processing. 149. 104470–104470. 4 indexed citations

Yang, Bo, et al.. (2024). Industrial defect detection and location based on greedy particle swarm optimization algorithm. International Journal of Parallel Emergent and Distributed Systems. 40(3). 214–221. 1 indexed citations

Yang, Bo, et al.. (2024). SLP-Net:An efficient lightweight network for segmentation of skin lesions. Biomedical Signal Processing and Control. 101. 107242–107242. 6 indexed citations

Yang, Bo, et al.. (2024). Multi-stages attention breast cancer classification based on nonlinear spiking neural P neurons with autapses. Engineering Applications of Artificial Intelligence. 142. 109869–109869. 1 indexed citations

Jiang, Can, et al.. (2024). Retinal vessels segmentation method based on dynamic threshold neural P systems with orientation feedback. 6(4). 266–277. 1 indexed citations

Wang, Yingchun, Jian Suo, Bo Wang, et al.. (2024). Prognostic role of prostate specific antigen kinetics in primary high volume metastatic hormonal sensitive prostate cancer treated with novel hormonal therapy agents. Scientific Reports. 14(1). 26712–26712.

Yang, Bo, et al.. (2023). SDDC-Net: A U-shaped deep spiking neural P convolutional network for retinal vessel segmentation. Digital Signal Processing. 136. 104002–104002. 36 indexed citations

10.

Guo, Z. J., et al.. (2023). A novel approach for automatic segmentation of prostate and its lesion regions on magnetic resonance imaging. Frontiers in Oncology. 13. 1095353–1095353. 3 indexed citations

11.

Peng, Hong, et al.. (2022). Edge Detection Method Based on Nonlinear Spiking Neural Systems. International Journal of Neural Systems. 33(1). 2250060–2250060. 52 indexed citations

12.

Zhou, Nan, Qian Yang, Hong Peng, Jun Wang, & Xiaohui Luo. (2021). Nonlinear neural P systems for generating string languages. Information and Computation. 281. 104789–104789. 2 indexed citations

13.

Yan, Jiahao, et al.. (2021). An unsupervised segmentation method based on dynamic threshold neural P systems for color images. Information Sciences. 587. 473–484. 35 indexed citations

14.

Peng, Hong, Xiaohui Luo, Jun Wang, et al.. (2020). Dendrite P systems. Neural Networks. 127. 110–120. 62 indexed citations

15.

Huang, Yue, et al.. (2020). Computational power of dynamic threshold neural P systems for generating string languages. Theoretical Computer Science. 851. 77–91. 7 indexed citations

16.

Li, Bo, Hong Peng, Xiaohui Luo, et al.. (2020). Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain. International Journal of Neural Systems. 31(1). 2050050–2050050. 89 indexed citations

17.

Zhao, Ruixin, et al.. (2019). Feature extraction method based on point pair hierarchical clustering. Connection Science. 32(3). 223–238. 8 indexed citations

18.

Peng, Hong, Bing Li, Xiaohui Luo, Jun Wang, & Zulin Zhang. (2012). A learning-based audio watermarking scheme using kernel Fisher discriminant analysis. Digital Signal Processing. 23(1). 382–389. 24 indexed citations

19.

Luo, Xiaohui. (2002). Fingerprint Capture and Recognition. Jisuanji gongcheng. 1 indexed citations

20.

Byrne, Bill, et al.. (1998). Speaker normalization with all-pass transforms. Cambridge University Engineering Department Publications Database. paper 0869–0. 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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