Tianzhu Wang
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Ocean Engineering top 10%
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Xin FanXiangjian HeRuili WangJunzhi YuYi WangZhengxing WuZongshuai SuSuwen Qi
- Topics
- Biomimetic flight and propulsion mechanisms (5 papers)Visual Attention and Saliency Detection (4 papers)Underwater Vehicles and Communication Systems (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceBrain ResearchOrganic Letters
- Partner nations
- ChinaNew ZealandUnited States
In The Last Decade
Tianzhu Wang
22 papers receiving 273 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 97
- Aerospace Engineering 68
- Ocean Engineering 52
- Biomedical Engineering 35
- Artificial Intelligence 31
Countries citing papers authored by Tianzhu Wang
This map shows the geographic impact of Tianzhu 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 Tianzhu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianzhu Wang more than expected).
Fields of papers citing papers by Tianzhu Wang
This network shows the impact of papers produced by Tianzhu 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 Tianzhu Wang. The network helps show where Tianzhu Wang may publish in the future.
Co-authorship network of co-authors of Tianzhu Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Tianzhu Wang. A scholar is included among the top collaborators of Tianzhu 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 Tianzhu Wang. Tianzhu 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 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 18 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 48 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 25 | |
| 18 | 20 | |
| 19 | 3 | |
| 20 | Inverse dynamic analysis of general n-link robot manipulators | 2 |
About Tianzhu Wang
Tianzhu Wang is a scholar working on Developmental Neuroscience, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 26 papers that have together received 276 indexed citations. Recurring topics across this work include Biomimetic flight and propulsion mechanisms (5 papers), Visual Attention and Saliency Detection (4 papers) and Underwater Vehicles and Communication Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (97 citations), Developmental Neuroscience (16 citations) and Media Technology (31 citations). Tianzhu Wang has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Xin Fan, Xiangjian He, Ruili Wang, Junzhi Yu, Yi Wang, Zhengxing Wu, Zongshuai Su, Suwen Qi, Xinyue Qin and Zhiyong Jiang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Brain Research and Organic Letters.
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.