Tianyi Wang

1.7k total citations
59 papers, 1.0k citations indexed

About

Tianyi Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Tianyi Wang has authored 59 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 17 papers in Information Systems. Recurrent topics in Tianyi Wang's work include Generative Adversarial Networks and Image Synthesis (11 papers), Digital Media Forensic Detection (8 papers) and Spam and Phishing Detection (7 papers). Tianyi Wang is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (11 papers), Digital Media Forensic Detection (8 papers) and Spam and Phishing Detection (7 papers). Tianyi Wang collaborates with scholars based in China, Hong Kong and United States. Tianyi Wang's co-authors include K. P. Chow, Yang Chen, Long Jin, Pan Hui, Athanasios V. Vasilakos, Qing Zhu, Liqiang Nie, Harry H. Cheng, Xinchang Zhang and Xin Liao and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and ACM Computing Surveys.

In The Last Decade

Tianyi Wang

51 papers receiving 978 citations

Peers

Tianyi Wang
Pei Li China
James Davidson United States
Gita Sukthankar United States
Bert Huang United States
H. Vicky Zhao China
Kan Li China
Erheng Zhong Hong Kong
Jilei Tian China
Enrique Costa‐Montenegro Spain
Mark Carman Australia
Pei Li China
Tianyi Wang
Citations per year, relative to Tianyi Wang Tianyi Wang (= 1×) peers Pei Li

Countries citing papers authored by Tianyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tianyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tianyi Wang. A scholar is included among the top collaborators of Tianyi Wang 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 Tianyi Wang. Tianyi Wang 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.
Tang, Chuan, Miaomiao Li, Jun Wang, et al.. (2025). Multi-View Clustering via High-Order Bipartite Graph Learning and Tensor Low-Rank Representation. IEEE Transactions on Knowledge and Data Engineering. 37(11). 6521–6534. 1 indexed citations
2.
Chen, Liquan, et al.. (2025). IoT-Dedup: Device Relationship-Based IoT Data Deduplication Scheme. IEEE Transactions on Parallel and Distributed Systems. 36(5). 847–860. 1 indexed citations
3.
Ding, Rong, et al.. (2025). Deep learning and UAV-Based image recognition for identification of medicinal plants in Gentiana Sect. Cruciata. Computers and Electronics in Agriculture. 239. 111076–111076.
4.
5.
Yuan, Shuo, Ruiyuan Chen, Xingyu Liu, et al.. (2024). Artificial intelligence automatic measurement technology of lumbosacral radiographic parameters. Frontiers in Bioengineering and Biotechnology. 12. 1404058–1404058. 2 indexed citations
6.
7.
Yu, Zitong, et al.. (2024). GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning. IEEE Transactions on Information Forensics and Security. 19. 8559–8572. 3 indexed citations
8.
Wang, Tianyi & K. P. Chow. (2023). Noise Based Deepfake Detection via Multi-Head Relative-Interaction. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14548–14556. 34 indexed citations
9.
Zhang, Han, Tianyi Wang, Jiajia Li, et al.. (2023). Skip-RCNN: A Cost-Effective Multivariate Time Series Forecasting Model. IEEE Access. 11. 142087–142099. 2 indexed citations
10.
Sun, Zhonghua, et al.. (2023). Global spatio-temporal synergistic topology learning for skeleton-based action recognition. Pattern Recognition. 140. 109540–109540. 25 indexed citations
11.
Alexander, Carol, et al.. (2023). Arbitrage Opportunities and Efficiency Tests in Crypto Options. SSRN Electronic Journal. 2 indexed citations
12.
Wang, Tianyi, et al.. (2023). The Relationship Between Learning Motivation and Online Learning Performance: The Mediating Role of Academic Self-Efficacy and Flow Experience. International Journal of Emerging Technologies in Learning (iJET). 18(23). 27–38. 3 indexed citations
13.
Wang, Tianyi, et al.. (2023). The application of group theory behind modern cryptography. Theoretical and Natural Science. 13(1). 195–201.
14.
Wang, Tianyi, et al.. (2023). TransFS: Face Swapping Using Transformer. 1–8. 2 indexed citations
15.
Wang, Tianyi, Harry H. Cheng, K. P. Chow, & Liqiang Nie. (2023). Deep Convolutional Pooling Transformer for Deepfake Detection. ACM Transactions on Multimedia Computing Communications and Applications. 19(6). 1–20. 52 indexed citations
16.
Wang, Tianyi, et al.. (2022). Deepfake noise investigation and detection. Forensic Science International Digital Investigation. 42. 301395–301395. 15 indexed citations
17.
Wang, Tianyi, et al.. (2022). Sports Information Needs in Chinese Online Q&A Community: Topic Mining Based on BERT. Applied Sciences. 12(9). 4784–4784. 2 indexed citations
18.
Feng, Kun, et al.. (2021). Binaural Speech Separation Algorithm Based on Deep Clustering. Intelligent Automation & Soft Computing. 29(3). 527–537. 2 indexed citations
19.
Wang, Tianyi, et al.. (2020). COVID-19 Sensing: Negative Sentiment Analysis on Social Media in China via BERT Model. IEEE Access. 8. 138162–138169. 168 indexed citations
20.
Wang, Tianyi, Gang Wang, Bolun Wang, et al.. (2017). Value and Misinformation in Collaborative Investing Platforms. ACM Transactions on the Web. 11(2). 1–32. 12 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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