Zheng Wu
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 5%
- Artificial Intelligence top 5%
- Automotive Engineering top 5%
- Environmental Engineering top 10%
- Co-authors
- Li JiangChi‐Wing FuSijin ChenSidney A. MorrisLiang WangZhaoxiang ZhangLiting SunMasayoshi Tomizuka
- Topics
- Advanced Neural Network Applications (7 papers)Neural Networks and Applications (4 papers)Face and Expression Recognition (4 papers)
- Journals
- IEEE Transactions on Industrial ElectronicsInternational Journal of Remote SensingIEEE Transactions on Industrial Informatics
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zheng Wu
26 papers receiving 960 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 671
- Aerospace Engineering 270
- Artificial Intelligence 202
- Automotive Engineering 141
- Environmental Engineering 120
Countries citing papers authored by Zheng Wu
This map shows the geographic impact of Zheng Wu'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 Zheng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheng Wu more than expected).
Fields of papers citing papers by Zheng Wu
This network shows the impact of papers produced by Zheng Wu. 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 Zheng Wu. The network helps show where Zheng Wu may publish in the future.
Co-authorship network of co-authors of Zheng Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Wu. A scholar is included among the top collaborators of Zheng Wu 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 Zheng Wu. Zheng Wu 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 | 0 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 16 | |
| 7 | SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloudbreakdown → | 302 |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 76 | |
| 11 | Learning to Describe Scenes with Programs | 9 |
| 12 | Skeleton-Based Relational Modeling for Action Recognition. | 28 |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 14 | |
| 17 | 16 | |
| 18 | 4 | |
| 19 | 11 | |
| 20 | 11 |
About Zheng Wu
Zheng Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 30 papers that have together received 993 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Neural Networks and Applications (4 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (671 citations), Geology (98 citations) and Automotive Engineering (141 citations). Zheng Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Li Jiang, Chi‐Wing Fu, Sijin Chen, Sidney A. Morris, Liang Wang, Zhaoxiang Zhang, Liting Sun, Masayoshi Tomizuka, Chenyu Yang and Gary G. Yen. Their work appears in journals such as IEEE Transactions on Industrial Electronics, International Journal of Remote Sensing and IEEE Transactions on Industrial Informatics.
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.