Haiwei Wu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Media Technology top 5%
- Electrical and Electronic Engineering
- Co-authors
- Jiantao ZhouJinyu TianJun LiuYuanman LiYu QiaoMing LiDanwei CaiWeicheng Cai
- Topics
- Digital Media Forensic Detection (10 papers)Smart Grid and Power Systems (9 papers)Speech Recognition and Synthesis (9 papers)
- Journals
- IEEE Transactions on Industrial ElectronicsIEEE Transactions on Circuits and Systems for Video TechnologyComputers and Electronics in Agriculture
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Haiwei Wu
43 papers receiving 514 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 328
- Artificial Intelligence 154
- Signal Processing 88
- Media Technology 84
- Electrical and Electronic Engineering 68
Countries citing papers authored by Haiwei Wu
This map shows the geographic impact of Haiwei 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 Haiwei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiwei Wu more than expected).
Fields of papers citing papers by Haiwei Wu
This network shows the impact of papers produced by Haiwei 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 Haiwei Wu. The network helps show where Haiwei Wu may publish in the future.
Co-authorship network of co-authors of Haiwei Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Haiwei Wu. A scholar is included among the top collaborators of Haiwei 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 Haiwei Wu. Haiwei 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 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 47 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 95 | |
| 13 | 17 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 14 | |
| 17 | 43 | |
| 18 | 7 | |
| 19 | 3 | |
| 20 | [Prediction model of net photosynthetic rate of ginseng under forest based on optimized parameters support vector machine]. | 3 |
About Haiwei Wu
Haiwei Wu is a scholar working on Energy Engineering and Power Technology, Signal Processing and Space and Planetary Science, having authored 51 papers that have together received 526 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (10 papers), Smart Grid and Power Systems (9 papers) and Speech Recognition and Synthesis (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (328 citations), Media Technology (84 citations) and Signal Processing (88 citations). Haiwei Wu has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Jiantao Zhou, Jinyu Tian, Jun Liu, Yuanman Li, Yu Qiao, Ming Li, Danwei Cai, Weicheng Cai, Chunlei Xu and Rui Ma. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Circuits and Systems for Video Technology and Computers and Electronics in Agriculture.
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.