Shaohua Tang

3.4k total citations · 1 hit paper
95 papers, 2.4k citations indexed

About

Shaohua Tang is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Shaohua Tang has authored 95 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 33 papers in Information Systems and 25 papers in Computer Networks and Communications. Recurrent topics in Shaohua Tang's work include Cryptography and Data Security (36 papers), Privacy-Preserving Technologies in Data (22 papers) and Advanced Steganography and Watermarking Techniques (17 papers). Shaohua Tang is often cited by papers focused on Cryptography and Data Security (36 papers), Privacy-Preserving Technologies in Data (22 papers) and Advanced Steganography and Watermarking Techniques (17 papers). Shaohua Tang collaborates with scholars based in China, Hong Kong and Australia. Shaohua Tang's co-authors include Xinglin Zhang, Bowen Zhao, Yunhao Liu, Zheng Yang, Hao‐Tian Wu, Junhui He, Kai Xing, Xufei Mao, Wei Sun and Huaqun Wang and has published in prestigious journals such as IEEE Transactions on Information Theory, International Journal of Molecular Sciences and IEEE Communications Surveys & Tutorials.

In The Last Decade

Shaohua Tang

91 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Incentives for Mobile Crowd Sensing: A Survey

2015 424 citations Xinglin Zhang, Shaohua Tang et al. profile →

Peers

Shaohua Tang

AI

IS

CSA

CVPR

CNC

Jinbo Xiong China

Haibo Hu Hong Kong

Jiangang Shu China

Xiaofeng Meng China

Zhenjie Zhang China

Chuan Zhang China

Buğra Gedik United States

Yufeng Zhan China

Hui Zhu China

He Huang China

Jinbo Xiong China

Shaohua Tang

1.5k ×1.1

AI

898 ×1.0

IS

306 ×0.4

CSA

233 ×0.4

CVPR

607 ×1.4

CNC

Citations per year, relative to Shaohua Tang Shaohua Tang (= 1×) peers Jinbo Xiong

Countries citing papers authored by Shaohua Tang

Since Specialization

Citations

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

Fields of papers citing papers by Shaohua Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Tang

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

All Works

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20 of 20 papers shown

1.

Gong, Wei, Wen‐Ling Chen, Qiang Gao, et al.. (2023). Glycerol-3-Phosphate Acyltransferase GPAT9 Enhanced Seed Oil Accumulation and Eukaryotic Galactolipid Synthesis in Brassica napus. International Journal of Molecular Sciences. 24(22). 16111–16111. 5 indexed citations

2.

Xu, Lingling, Xiaofeng Chen, Fangguo Zhang, et al.. (2020). ASBKS: Towards attribute set based keyword search over encrypted personal health records. IEEE Transactions on Dependable and Secure Computing. 1–1. 28 indexed citations

3.

Xiong, Jinbo, Yuanyuan Zhang, Shaohua Tang, Ximeng Liu, & Zhiqiang Yao. (2019). Secure Encrypted Data With Authorized Deduplication in Cloud. IEEE Access. 7. 75090–75104. 19 indexed citations

4.

Wu, Hao‐Tian, Yiu‐ming Cheung, Zhiyuan Yang, & Shaohua Tang. (2019). A high-capacity reversible data hiding method for homomorphic encrypted images. Journal of Visual Communication and Image Representation. 62. 87–96. 36 indexed citations

5.

Fan, Peng, et al.. (2019). A privacy-preserving data aggregation of mobile crowdsensing based on local differential privacy. 1–5. 15 indexed citations

6.

Hu, Honggang, et al.. (2018). New Classes of Ternary Bent Functions From the Coulter-Matthews Bent Functions. IEEE Transactions on Information Theory. 64(6). 4653–4663. 4 indexed citations

7.

He, Junhui, Junxi Chen, Weiqi Luo, Shaohua Tang, & Jiwu Huang. (2018). A Novel High-Capacity Reversible Data Hiding Scheme for Encrypted JPEG Bitstreams. IEEE Transactions on Circuits and Systems for Video Technology. 29(12). 3501–3515. 53 indexed citations

8.

He, Junhui, et al.. (2018). A Novel AMR-WB Speech Steganography Based on Diameter-Neighbor Codebook Partition. Security and Communication Networks. 2018. 1–11. 8 indexed citations

9.

Chen, Jiahui, Shaohua Tang, & Xinglin Zhang. (2017). HS-Sign: A Security Enhanced UOV Signature Scheme Based on Hyper-Sphere. KSII Transactions on Internet and Information Systems. 11(6). 3 indexed citations

10.

Li, Xiaoyu, Shaohua Tang, Lingling Xu, Huaqun Wang, & Jie Chen. (2016). Two-Factor Data Access Control With Efficient Revocation for Multi-Authority Cloud Storage Systems. IEEE Access. 5. 393–405. 35 indexed citations

11.

Tang, Shaohua, et al.. (2015). RGB, a Mixed Multivariate Signature Scheme. The Computer Journal. 59(4). 439–451. 3 indexed citations

12.

Chen, Xiaofeng, Willy Susilo, Jin Li, et al.. (2014). Efficient algorithms for secure outsourcing of bilinear pairings. Theoretical Computer Science. 562. 112–121. 52 indexed citations

13.

Tang, Shaohua, et al.. (2014). Efficient hardware implementation of PMI+ for low-resource devices in mobile cloud computing. Future Generation Computer Systems. 52. 116–124. 2 indexed citations

14.

Liu, Xinxin, Shaohua Tang, Qiong Huang, & Zhiwen Yu. (2013). An ontology-based approach to automated trust negotiation. Computer Standards & Interfaces. 36(1). 219–230. 5 indexed citations

15.

Li, Xiangxue, et al.. (2013). Balanced2p-variable rotation symmetric Boolean functions with optimal algebraic immunity, good nonlinearity, and good algebraic degree. Journal of Mathematical Analysis and Applications. 403(1). 63–71. 8 indexed citations

16.

Chen, Chunhua, Chris J. Mitchell, & Shaohua Tang. (2011). Ubiquitous One-Time Password Service Using the Generic Authentication Architecture. Mobile Networks and Applications. 18(5). 738–747. 2 indexed citations

17.

He, Junhui, Shaohua Tang, & Tingting Wu. (2008). On the Security of Steganographic Techniques. 11. 716–719. 2 indexed citations

18.

Ma, Weimin, Shaohua Tang, & Ke Wang. (2008). COMPETITIVE ANALYSIS FOR THE MOST RELIABLE PATH PROBLEM WITH ONLINE AND FUZZY UNCERTAINTIES. International Journal of Pattern Recognition and Artificial Intelligence. 22(1). 195–206. 5 indexed citations

19.

Yang, Wenya & Shaohua Tang. (2006). A Solution for Web Services Transaction. 2. 416–423. 7 indexed citations

20.

Yang, Wenya & Shaohua Tang. (2006). A Solution for Web Services Transaction. 416–423. 2 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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