Zongze Wu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 10%
- Aerospace Engineering
- Topics
- Robotic Path Planning Algorithms (8 papers)Injection Molding Process and Properties (7 papers)Iterative Learning Control Systems (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Automatic ControlIEEE Transactions on Industrial Electronics
- Partner nations
- ChinaSaudi ArabiaSouth Korea
In The Last Decade
Zongze Wu
43 papers receiving 450 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 267
- Artificial Intelligence 72
- Control and Systems Engineering 64
- Industrial and Manufacturing Engineering 49
- Aerospace Engineering 32
Countries citing papers authored by Zongze Wu
This map shows the geographic impact of Zongze 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 Zongze Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zongze Wu more than expected).
Fields of papers citing papers by Zongze Wu
This network shows the impact of papers produced by Zongze 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 Zongze Wu. The network helps show where Zongze Wu may publish in the future.
Co-authorship network of co-authors of Zongze Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Zongze Wu. A scholar is included among the top collaborators of Zongze 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 Zongze Wu. Zongze 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 | 10 | |
| 2 | An Attention-Driven Spatio-Temporal Deep Hybrid Neural Networks for Traffic Flow Prediction in Transportation Systemsbreakdown → | 27 |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 15 | |
| 17 | 3 | |
| 18 | 0 | |
| 19 | 5 | |
| 20 | 23 |
About Zongze Wu
Zongze Wu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 50 papers that have together received 460 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (8 papers), Injection Molding Process and Properties (7 papers) and Iterative Learning Control Systems (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (267 citations), Computer Graphics and Computer-Aided Design (32 citations) and Industrial and Manufacturing Engineering (49 citations). Zongze Wu has collaborated with scholars based in China, Saudi Arabia and South Korea. Frequent co-authors include Eli Shechtman, Dani Lischinski, Zhigang Ren, Shengli Xie, Xiaoshan Bai, Bo Yang, Inam Ullah, Ahmad Ali, Shabir Ahmad and Jianqiang Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and IEEE Transactions on Industrial Electronics.
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.