Tiancai Wang
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Aerospace Engineering top 5%
- Electrical and Electronic Engineering
- Automotive Engineering top 10%
- Co-authors
- Xiangyu ZhangFahad Shahbaz KhanYingfei LiuYanwei PangLing ShaoRao Muhammad AnwerFan JiaYuang Zhang
- Topics
- Advanced Neural Network Applications (12 papers)Advanced Image and Video Retrieval Techniques (8 papers)Human Pose and Action Recognition (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceApplied Thermal EngineeringNeurocomputing
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Tiancai Wang
30 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 952
- Artificial Intelligence 263
- Aerospace Engineering 226
- Electrical and Electronic Engineering 136
- Automotive Engineering 91
Countries citing papers authored by Tiancai Wang
This map shows the geographic impact of Tiancai 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 Tiancai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiancai Wang more than expected).
Fields of papers citing papers by Tiancai Wang
This network shows the impact of papers produced by Tiancai 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 Tiancai Wang. The network helps show where Tiancai Wang may publish in the future.
Co-authorship network of co-authors of Tiancai Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Tiancai Wang. A scholar is included among the top collaborators of Tiancai 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 Tiancai Wang. Tiancai 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 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 29 | |
| 10 | 22 | |
| 11 | 45 | |
| 12 | 2 | |
| 13 | 155 | |
| 14 | 55 | |
| 15 | 36 | |
| 16 | 45 | |
| 17 | 3 | |
| 18 | 30 | |
| 19 | 19 | |
| 20 | 5 |
About Tiancai Wang
Tiancai Wang is a scholar working on Computer Vision and Pattern Recognition, Energy Engineering and Power Technology and Computer Graphics and Computer-Aided Design, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Human Pose and Action Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (952 citations), Media Technology (90 citations) and Aerospace Engineering (226 citations). Tiancai Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xiangyu Zhang, Fahad Shahbaz Khan, Yingfei Liu, Yanwei Pang, Ling Shao, Rao Muhammad Anwer, Fan Jia, Yuang Zhang, Shuailin Li and Junjie Yan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Thermal Engineering and Neurocomputing.
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.