Jinzhao Wu
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Industrial and Manufacturing Engineering top 5%
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Yongquan ZhouQifang LuoHuan ChenGuowu YangMarek PerkowskiMila Majster-CederbaumXiaoyu SongFengmao Lv
- Topics
- Logic, programming, and type systems (8 papers)Logic, Reasoning, and Knowledge (6 papers)Advanced Algebra and Logic (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceComputational Theory and Mathematics
- Journals
- IEEE AccessSensorsNeurocomputing
In The Last Decade
Jinzhao Wu
33 papers receiving 294 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 175
- Computational Theory and Mathematics 75
- Industrial and Manufacturing Engineering 64
- Computer Vision and Pattern Recognition 48
- Computer Networks and Communications 26
Countries citing papers authored by Jinzhao Wu
This map shows the geographic impact of Jinzhao 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 Jinzhao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinzhao Wu more than expected).
Fields of papers citing papers by Jinzhao Wu
This network shows the impact of papers produced by Jinzhao 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 Jinzhao Wu. The network helps show where Jinzhao Wu may publish in the future.
Co-authorship network of co-authors of Jinzhao Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Jinzhao Wu. A scholar is included among the top collaborators of Jinzhao 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 Jinzhao Wu. Jinzhao 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 | 6 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 18 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 26 | |
| 14 | 2 | |
| 15 | 103 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | Interdisciplinary reasoning on description logic | 1 |
| 19 | 0 | |
| 20 | 12 |
About Jinzhao Wu
Jinzhao Wu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 37 papers that have together received 303 indexed citations. Recurring topics across this work include Logic, programming, and type systems (8 papers), Logic, Reasoning, and Knowledge (6 papers) and Advanced Algebra and Logic (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (64 citations), Artificial Intelligence (175 citations) and Computational Theory and Mathematics (75 citations). Jinzhao Wu has collaborated with scholars based in China, Germany and Canada. Frequent co-authors include Yongquan Zhou, Qifang Luo, Huan Chen, Guowu Yang, Marek Perkowski, Mila Majster-Cederbaum, Xiaoyu Song, Fengmao Lv, Wei Su and Jiuwen Zhang. Their work appears in journals such as IEEE Access, Sensors 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.