Xiangyang Luo

4.6k total citations
226 papers, 3.1k citations indexed

About

Xiangyang Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Xiangyang Luo has authored 226 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Computer Vision and Pattern Recognition, 59 papers in Artificial Intelligence and 45 papers in Computer Networks and Communications. Recurrent topics in Xiangyang Luo's work include Advanced Steganography and Watermarking Techniques (109 papers), Digital Media Forensic Detection (100 papers) and Chaos-based Image/Signal Encryption (68 papers). Xiangyang Luo is often cited by papers focused on Advanced Steganography and Watermarking Techniques (109 papers), Digital Media Forensic Detection (100 papers) and Chaos-based Image/Signal Encryption (68 papers). Xiangyang Luo collaborates with scholars based in China, Macao and France. Xiangyang Luo's co-authors include Fenlin Liu, Yi Zhang, Chunfang Yang, Chuan Qin, Xiaofeng Song, D. S. Jayas, Weiming Zhang, Xiaolong Li, Yuanyuan Ma and Daoshun Wang and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Xiangyang Luo

204 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangyang Luo China 29 2.0k 803 587 357 257 226 3.1k
Om Prakash Verma India 23 1.1k 0.5× 617 0.8× 464 0.8× 162 0.5× 102 0.4× 125 1.9k
De Rosal Ignatius Moses Setiadi Indonesia 27 1.8k 0.9× 931 1.2× 401 0.7× 95 0.3× 206 0.8× 222 2.9k
Wei Lu China 28 2.4k 1.2× 590 0.7× 391 0.7× 170 0.5× 160 0.6× 160 3.3k
Mário A. Nascimento Canada 21 520 0.3× 407 0.5× 279 0.5× 674 1.9× 774 3.0× 127 1.8k
Jialiang Peng China 18 378 0.2× 468 0.6× 357 0.6× 214 0.6× 314 1.2× 50 1.3k
Sajjad Shaukat Jamal Saudi Arabia 26 1.2k 0.6× 971 1.2× 330 0.6× 504 1.4× 245 1.0× 120 2.2k
Fatih Kurugöllü United Kingdom 21 875 0.4× 441 0.5× 244 0.4× 285 0.8× 307 1.2× 110 1.7k
Euripides G. M. Petrakis Greece 20 1.0k 0.5× 710 0.9× 406 0.7× 405 1.1× 317 1.2× 98 2.3k
Ching‐Nung Yang Taiwan 38 3.9k 1.9× 1.6k 2.0× 524 0.9× 260 0.7× 318 1.2× 223 4.8k

Countries citing papers authored by Xiangyang Luo

Since Specialization
Citations

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

Fields of papers citing papers by Xiangyang Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangyang Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangyang Luo. A scholar is included among the top collaborators of Xiangyang 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 Xiangyang Luo. Xiangyang Luo 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.
Zhang, Meng, et al.. (2025). Hidden AS link prediction based on random forest feature selection and GWO-XGBoost model. Computer Networks. 262. 111164–111164. 4 indexed citations
2.
Liu, Fenlin, et al.. (2024). Landmark-v6: A stable IPv6 landmark representation method based on multi-feature clustering. Information Processing & Management. 62(1). 103921–103921.
3.
Ma, Jiangtao, Kunlin Li, Yanjun Wang, et al.. (2024). BGAT-CCRF: A novel end-to-end model for knowledge graph noise correction. Neural Networks. 180. 106715–106715. 1 indexed citations
4.
Li, Tengyao, et al.. (2024). HSWF: Enhancing website fingerprinting attacks on Tor to address real world distribution mismatch. Computer Networks. 241. 110217–110217. 3 indexed citations
5.
Zhang, Wei Emma, et al.. (2024). Disentangle interest trend and diversity for sequential recommendation. Information Processing & Management. 61(3). 103619–103619. 17 indexed citations
6.
Lu, Wei, et al.. (2024). Coarse-to-Fine Proposal Refinement Framework for Audio Temporal Forgery Detection and Localization. arXiv (Cornell University). 7395–7403. 3 indexed citations
7.
Qiao, Yaqiong, Xiangyang Luo, Jiangtao Ma, Meng Zhang, & Chenliang Li. (2023). Twitter user geolocation based on heterogeneous relationship modeling and representation learning. Information Sciences. 647. 119427–119427. 1 indexed citations
8.
Luo, Xiangyang, et al.. (2023). Extraction Method of Secret Message Based on Optimal Hypothesis Test. IEEE Transactions on Dependable and Secure Computing. 20(6). 5265–5277. 3 indexed citations
9.
Wu, Fan, Xiong Li, Xiangyang Luo, & Ke Gu. (2022). A novel authentication scheme for edge computing-enabled Internet of Vehicles providing anonymity and identity tracing with drone-assistance. Journal of Systems Architecture. 132. 102737–102737. 19 indexed citations
10.
Luo, Xiangyang, et al.. (2021). Inverse Interpolation and Its Application in Robust Image Steganography. IEEE Transactions on Circuits and Systems for Video Technology. 32(6). 4052–4064. 17 indexed citations
11.
Luo, Xiangyang, et al.. (2021). Cryptographic Secrecy Analysis of Adaptive Steganographic Syndrome-Trellis Codes. Security and Communication Networks. 2021. 1–16. 1 indexed citations
12.
Wang, Jinwei, et al.. (2021). PRUDA: A Novel Measurement Attribute Set towards Robust Steganography in Social Networks. Security and Communication Networks. 2021. 1–15. 2 indexed citations
13.
Yang, Chunfang, et al.. (2020). Color image steganalysis based on embedding change probabilities in differential channels. International Journal of Distributed Sensor Networks. 16(5). 812444550–812444550. 10 indexed citations
14.
Tan, Lei, et al.. (2020). Steganalysis of homogeneous-representation based steganography for high dynamic range images. Multimedia Tools and Applications. 79(27-28). 20079–20105. 3 indexed citations
15.
Liu, Fenlin, et al.. (2019). Color image steganalysis based on channel gradient correlation. International Journal of Distributed Sensor Networks. 15(5). 812337971–812337971. 12 indexed citations
16.
Zhang, Yue, Xiangyang Luo, Yanqing Guo, Chuan Qin, & Fenlin Liu. (2019). Zernike Moment-Based Spatial Image Steganography Resisting Scaling Attack and Statistic Detection. IEEE Access. 7. 24282–24289. 19 indexed citations
17.
Zhang, Yi, Xiangyang Luo, Yanqing Guo, Chuan Qin, & Fenlin Liu. (2019). Multiple Robustness Enhancements for Image Adaptive Steganography in Lossy Channels. IEEE Transactions on Circuits and Systems for Video Technology. 30(8). 2750–2764. 64 indexed citations
18.
Liu, Fenlin, et al.. (2019). A High Completeness PoP Partition Algorithm for IP Geolocation. IEEE Access. 7. 28340–28355. 3 indexed citations
19.
Luo, Xiangyang, Engle Angela Chan, & Rocky K. C. Chang. (2009). Design and implementation of TCP data probes for reliable network path monitoring. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 2 indexed citations
20.
Wang, Ping, Xiangyang Luo, & Fenlin Liu. (2006). An Improved Secret Key Estimation Method for Sequential Steganography. 396–402.

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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