Di Wu
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Topics
- Advanced Fiber Optic Sensors (27 papers)Recommender Systems and Techniques (24 papers)Photonic and Optical Devices (20 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaApplied Physics Letters
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Di Wu
178 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Electrical and Electronic Engineering 1.3k
- Artificial Intelligence 1.0k
- Computer Vision and Pattern Recognition 563
- Information Systems 548
- Atomic and Molecular Physics, and Optics 425
Countries citing papers authored by Di Wu
This map shows the geographic impact of Di 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 Di Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Wu more than expected).
Fields of papers citing papers by Di Wu
This network shows the impact of papers produced by Di 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 Di Wu. The network helps show where Di Wu may publish in the future.
Co-authorship network of co-authors of Di Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Di Wu. A scholar is included among the top collaborators of Di 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 Di Wu. Di 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 | Robust enzyme discovery and engineering with deep learning using CataProbreakdown → | 19 |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 15 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 134 | |
| 17 | 5 | |
| 18 | Relationship of landscape pattern and river water quality in Shuifumiao Reservoir watershed in Hunan province. | 2 |
| 19 | Community structure and dynamic distribution pattern of waterbird in Shanghai | 1 |
| 20 | 1 |
About Di Wu
Di Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 206 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (27 papers), Recommender Systems and Techniques (24 papers) and Photonic and Optical Devices (20 papers). The work is most often cited by research in Computational Mathematics (51 citations), Ecological Modeling (143 citations) and Signal Processing (354 citations). Di Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xin Luo, Yi He, Mingsheng Shang, Yong Zhao, Tao Zhu, Guoyin Wang, MengChu Zhou, Ri-Qing Lv, Dewen Duan and Ming Deng. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics 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.