Xiaoping Liang

847 total citations
46 papers, 570 citations indexed

About

Xiaoping Liang is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiaoping Liang has authored 46 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 13 papers in Biomedical Engineering and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiaoping Liang's work include Advanced Image and Video Retrieval Techniques (19 papers), Photoacoustic and Ultrasonic Imaging (11 papers) and Image Retrieval and Classification Techniques (11 papers). Xiaoping Liang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (19 papers), Photoacoustic and Ultrasonic Imaging (11 papers) and Image Retrieval and Classification Techniques (11 papers). Xiaoping Liang collaborates with scholars based in China, United States and Singapore. Xiaoping Liang's co-authors include A. Q. Liu, P. H. Yap, T. C. Ayi, C.S. Lim, Zhenjun Tang, Xianquan Zhang, Huabei Jiang, Qizhi Zhang, Changfeng Wu and Huabei Jiang and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and Journal of Controlled Release.

In The Last Decade

Xiaoping Liang

40 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoping Liang China 12 264 140 127 103 90 46 570
Yudong Zhang China 12 176 0.7× 67 0.5× 53 0.4× 72 0.7× 96 1.1× 60 451
Missael Garcia United States 9 273 1.0× 53 0.4× 84 0.7× 64 0.6× 30 0.3× 22 388
Chao-Mao Hsieh Singapore 5 323 1.2× 38 0.3× 153 1.2× 195 1.9× 24 0.3× 12 562
Yuehao Wu China 13 262 1.0× 68 0.5× 238 1.9× 143 1.4× 21 0.2× 33 592
Mohamadreza Najiminaini Canada 12 337 1.3× 21 0.1× 92 0.7× 94 0.9× 43 0.5× 32 425
Orly Liba United States 14 374 1.4× 74 0.5× 23 0.2× 24 0.2× 68 0.8× 25 563
Karen E. Thorn United States 9 142 0.5× 18 0.1× 267 2.1× 132 1.3× 90 1.0× 19 553
Hiroshi Kano Japan 16 615 2.3× 49 0.3× 196 1.5× 255 2.5× 21 0.2× 45 819
Paul M. Kasili United States 10 325 1.2× 20 0.1× 110 0.9× 43 0.4× 103 1.1× 19 588
Sylvain Rivet France 14 515 2.0× 59 0.4× 25 0.2× 69 0.7× 34 0.4× 47 592

Countries citing papers authored by Xiaoping Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Liang. A scholar is included among the top collaborators of Xiaoping Liang 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 Xiaoping Liang. Xiaoping Liang 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.
Wang, Ke, Yiqing Xiao, Yi Wang, et al.. (2025). Super-small zwitterionic nitric oxide-donor micelles efficiently scavenge ROS and alleviate inflammation for combined ischemic stroke therapy. Acta Biomaterialia. 204. 547–557. 1 indexed citations
2.
Chen, Yihua, et al.. (2025). Artistic Image Aesthetics Assessment Assisted by Photographic Visual Attributes. 1–5. 1 indexed citations
3.
Liang, Xiaoping, et al.. (2025). Robust and blind video watermarking against online sharing platforms. Scientific Reports. 15(1). 7860–7860.
4.
Liang, Xiaoping, et al.. (2025). Novel polymer electrolytes for rechargeable magnesium batteries prepared based on deep eutectic solvents. Chemical Engineering Journal. 512. 162804–162804. 1 indexed citations
5.
Tang, Zhenjun, et al.. (2024). Robust Hashing with Deep Features and Meixner Moments for Image Copy Detection. ACM Transactions on Multimedia Computing Communications and Applications. 20(12). 1–23. 4 indexed citations
6.
Tang, Zhenjun, et al.. (2024). Robust Color Image Hashing With Nonnegative Matrix Factorization and Saliency Map for Copy Detection. IEEE Multimedia. 31(3). 44–52. 1 indexed citations
7.
Liang, Xiaoping, Wanting Liu, Xianquan Zhang, & Zhenjun Tang. (2024). Robust Image Hashing via CP Decomposition and DCT for Copy Detection. ACM Transactions on Multimedia Computing Communications and Applications. 20(7). 1–22. 4 indexed citations
8.
Tang, Zhenjun, et al.. (2024). Perceptual Hashing With Deep and Texture Features. IEEE Multimedia. 31(1). 65–75. 5 indexed citations
9.
Liang, Xiaoping, et al.. (2024). Effective Image Hashing With Deep and Moment Features for Content Authentication. IEEE Internet of Things Journal. 11(24). 40191–40203.
10.
Liang, Xiaoping, Zhenjun Tang, Xianquan Zhang, Xinpeng Zhang, & Ching‐Nung Yang. (2024). Robust Image Hashing With Weighted Saliency Map and Laplacian Eigenmaps. IEEE Transactions on Information Forensics and Security. 20. 665–676. 2 indexed citations
11.
12.
Liang, Xiaoping, et al.. (2023). Robust Hashing With Local Tangent Space Alignment for Image Copy Detection. IEEE Transactions on Dependable and Secure Computing. 21(4). 2448–2460. 8 indexed citations
13.
Liang, Xiaoping, et al.. (2023). Robust Hashing via Global and Local Invariant Features for Image Copy Detection. ACM Transactions on Multimedia Computing Communications and Applications. 20(1). 1–22. 7 indexed citations
14.
Liang, Xiaoping, Zhenjun Tang, Sheng Li, Chunqiang Yu, & Xianquan Zhang. (2022). A novel hashing scheme via image feature map and 2D PCA. IET Image Processing. 16(12). 3225–3236. 5 indexed citations
15.
Liang, Xiaoping, Zhenjun Tang, Ziqing Huang, Xianquan Zhang, & Shichao Zhang. (2021). Efficient Hashing Method Using 2D-2D PCA for Image Copy Detection. IEEE Transactions on Knowledge and Data Engineering. 35(4). 3765–3778. 35 indexed citations
16.
Liang, Xiaoping, et al.. (2009). Phase-contrast diffuse optical tomography for in vivo breast imaging: a two-step method. Applied Optics. 48(24). 4749–4749. 3 indexed citations
17.
Liang, Xiaoping. (2008). Reversible Authentication Watermark for Image. TU/e Research Portal (Eindhoven University of Technology). 3 indexed citations
18.
Liang, Xiaoping, Qizhi Zhang, Changqing Li, et al.. (2008). Phase-Contrast Diffuse Optical Tomography. Academic Radiology. 15(7). 859–866. 19 indexed citations
19.
Wang, Qiang, Xiaoping Liang, Zhao Liu, et al.. (2007). Visualizing localized dynamic changes during epileptic seizure onset in vivo with diffuse optical tomography. Medical Physics. 35(1). 216–224. 10 indexed citations
20.
Liang, Xiaoping, A. Q. Liu, C.S. Lim, T. C. Ayi, & P. H. Yap. (2006). Determining refractive index of single living cell using an integrated microchip. Sensors and Actuators A Physical. 133(2). 349–354. 187 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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