Tianshi Wang
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Statistical and Nonlinear Physics
- Co-authors
- Tarek AbdelzaherShengzhong LiuDongxin LiuJinyang LiShuochao YaoHuajie ShaoRuijie WangZuochang Ye
- Topics
- Anomaly Detection Techniques and Applications (5 papers)Speech and Audio Processing (4 papers)Complex Network Analysis Techniques (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Microwave Theory and TechniquesMolecular Therapy
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Tianshi Wang
28 papers receiving 287 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 89
- Computer Vision and Pattern Recognition 81
- Electrical and Electronic Engineering 53
- Computer Networks and Communications 44
- Statistical and Nonlinear Physics 32
Countries citing papers authored by Tianshi Wang
This map shows the geographic impact of Tianshi 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 Tianshi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianshi Wang more than expected).
Fields of papers citing papers by Tianshi Wang
This network shows the impact of papers produced by Tianshi 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 Tianshi Wang. The network helps show where Tianshi Wang may publish in the future.
Co-authorship network of co-authors of Tianshi Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Tianshi Wang. A scholar is included among the top collaborators of Tianshi 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 Tianshi Wang. Tianshi Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 38 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 27 | |
| 15 | 35 | |
| 16 | 17 | |
| 17 | 2 | |
| 18 | 16 | |
| 19 | 2 | |
| 20 | 10 |
About Tianshi Wang
Tianshi Wang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 30 papers that have together received 288 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Speech and Audio Processing (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (81 citations), Geriatrics and Gerontology (13 citations) and Artificial Intelligence (89 citations). Tianshi Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Tarek Abdelzaher, Shengzhong Liu, Dongxin Liu, Jinyang Li, Shuochao Yao, Huajie Shao, Ruijie Wang, Shuochao Yao, Zuochang Ye and Yiran Zhao. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Microwave Theory and Techniques and Molecular Therapy.
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.