Tao Xiang

5.6k total citations
221 papers, 3.9k citations indexed

About

Tao Xiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Tao Xiang has authored 221 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Artificial Intelligence, 92 papers in Computer Vision and Pattern Recognition and 45 papers in Information Systems. Recurrent topics in Tao Xiang's work include Cryptography and Data Security (53 papers), Chaos-based Image/Signal Encryption (45 papers) and Privacy-Preserving Technologies in Data (43 papers). Tao Xiang is often cited by papers focused on Cryptography and Data Security (53 papers), Chaos-based Image/Signal Encryption (45 papers) and Privacy-Preserving Technologies in Data (43 papers). Tao Xiang collaborates with scholars based in China, Hong Kong and United States. Tao Xiang's co-authors include Xiaofeng Liao, Kwok‐Wo Wong, Yong Wang, Fei Chen, Di Xiao, Shangwei Guo, Chunqiang Hu, Xiaofeng Liao, Yuanyuan Yang and Guanrong Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Theory.

In The Last Decade

Tao Xiang

192 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tao Xiang China 33 2.1k 1.6k 697 550 452 221 3.9k
Hai Yu China 34 2.3k 1.1× 788 0.5× 330 0.5× 304 0.6× 640 1.4× 228 4.0k
Nathan Srebro United States 32 2.1k 1.0× 3.4k 2.2× 887 1.3× 450 0.8× 273 0.6× 83 5.7k
Sajjad Shaukat Jamal Saudi Arabia 26 1.2k 0.6× 971 0.6× 330 0.5× 504 0.9× 212 0.5× 120 2.2k
Vikas Sindhwani United States 28 2.8k 1.3× 3.7k 2.4× 628 0.9× 282 0.5× 181 0.4× 71 6.0k
Guangchun Luo China 21 624 0.3× 767 0.5× 579 0.8× 285 0.5× 119 0.3× 95 2.1k
Sebastian Nowozin United Kingdom 34 2.7k 1.3× 1.7k 1.1× 239 0.3× 170 0.3× 194 0.4× 77 4.4k
Ben Taskar United States 41 2.1k 1.0× 4.4k 2.8× 511 0.7× 202 0.4× 254 0.6× 91 6.5k
Alex Kulesza United States 20 1.3k 0.6× 3.0k 1.9× 250 0.4× 135 0.2× 161 0.4× 40 4.1k

Countries citing papers authored by Tao Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Tao Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Xiang. A scholar is included among the top collaborators of Tao Xiang 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 Tao Xiang. Tao Xiang 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.
Chattopadhyay, Anupam, et al.. (2025). SecDV: A Lightweight Secure Deep Neural Network Inference Service With Dynamic Verification. IEEE Transactions on Network Science and Engineering. 13. 1647–1661. 1 indexed citations
2.
Yu, Hao, Chuan Ma, Meng Liu, et al.. (2025). G 2 uardFL: Safeguarding Federated Learning Against Backdoor Attacks via Attributed Client Graph Clustering. IEEE Transactions on Information Forensics and Security. 21. 516–531. 1 indexed citations
3.
Hu, Chunqiang, et al.. (2025). Blockchain Assisted Industrial Data Registration and Reconstruction Management Scheme. IEEE Transactions on Network Science and Engineering. 12(3). 2345–2359.
4.
Nie, Chenxi, et al.. (2024). Discovery and characterization of the PpqI/R quorum sensing system activated by GacS/A and Hfq in Pseudomonas protegens H78. Microbiological Research. 287. 127868–127868. 1 indexed citations
5.
Chen, Fei, et al.. (2024). A Two-Stage Approach for Fair Data Trading Based on Blockchain. IEEE Transactions on Information Forensics and Security. 19. 9835–9849. 3 indexed citations
6.
He, Jialing, Ning Wang, Tao Xiang, et al.. (2024). ABDP: Accurate Billing on Differentially Private Data Reporting for Smart Grids. IEEE Transactions on Services Computing. 17(5). 1938–1954. 1 indexed citations
7.
Guo, Shangwei, et al.. (2024). Robust and privacy-preserving collaborative training: a comprehensive survey. Artificial Intelligence Review. 57(7).
8.
Zeng, Zhirui, Tao Xiang, Shangwei Guo, et al.. (2024). Contrast-Then-Approximate: Analyzing Keyword Leakage of Generative Language Models. IEEE Transactions on Information Forensics and Security. 19. 5166–5180.
9.
Zhou, Yuan, et al.. (2024). Stealthiness Assessment of Adversarial Perturbation: From a Visual Perspective. IEEE Transactions on Information Forensics and Security. 20. 898–913.
10.
Gan, Yan, et al.. (2024). LESEP: Boosting Adversarial Transferability via Latent Encoding and Semantic Embedding Perturbations. IEEE Transactions on Circuits and Systems for Video Technology. 35(4). 3368–3382. 3 indexed citations
11.
Hu, Chunqiang, et al.. (2024). A Novel Sparrow Search Scheme Based on Enhanced Differential Evolution Operator. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1253–1268. 2 indexed citations
12.
Chen, Biwen, et al.. (2023). BCGS: Blockchain-assisted privacy-preserving cross-domain authentication for VANETs. Vehicular Communications. 41. 100602–100602. 36 indexed citations
13.
14.
Feng, Lei, et al.. (2023). Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. IEEE Transactions on Knowledge and Data Engineering. 35(11). 11599–11609. 1 indexed citations
15.
Wang, Yiqun, et al.. (2023). Using Multi-Level Consistency Learning for Partial-to-Partial Point Cloud Registration. IEEE Transactions on Visualization and Computer Graphics. 30(8). 4881–4894. 9 indexed citations
16.
Xiang, Tao, et al.. (2023). Double Transformer Super-Resolution for Breast Cancer ADC Images. IEEE Journal of Biomedical and Health Informatics. 28(2). 917–928. 3 indexed citations
17.
Xiang, Tao, et al.. (2023). EHNQ: Subjective and Objective Quality Evaluation of Enhanced Night-Time Images. IEEE Transactions on Circuits and Systems for Video Technology. 33(9). 4645–4659. 11 indexed citations
18.
Xiang, Tao, et al.. (2022). BMIF: Privacy-preserving Blockchain-based Medical Image Fusion. ACM Transactions on Multimedia Computing Communications and Applications. 19(1s). 1–23. 12 indexed citations
19.
Xiang, Tao, et al.. (2021). Privacy-Preserving Reverse Nearest Neighbor Query Over Encrypted Spatial Data. IEEE Transactions on Services Computing. 15(5). 2954–2968. 13 indexed citations
20.
Chen, Fei, Tao Xiang, Xinwen Fu, & Wei Yu. (2016). User Differentiated Verifiable File Search on the Cloud. IEEE Transactions on Services Computing. 11(6). 948–961. 16 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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