Wancai Zhang
- Artificial Intelligence top 1%
- Signal Processing top 0.5%
- Electrical and Electronic Engineering top 5%
- Management Science and Operations Research top 1%
- Building and Construction top 2%
- Co-authors
- Haoyi ZhouShuai ZhangJianxin LiShanghang ZhangHui XiongHailong SunXiaohui GuoRyuichi Takanobu
- Topics
- Caching and Content Delivery (4 papers)Tensor decomposition and applications (3 papers)Recommender Systems and Techniques (2 papers)
- Journals
- ElectronicsInternational Journal of Machine Learning and CyberneticsJournal of Applied Remote Sensing
- Partner nations
- ChinaUnited States
In The Last Decade
Wancai Zhang
9 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Artificial Intelligence 1.0k
- Signal Processing 857
- Electrical and Electronic Engineering 799
- Management Science and Operations Research 623
- Building and Construction 410
Countries citing papers authored by Wancai Zhang
This map shows the geographic impact of Wancai Zhang'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 Wancai Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wancai Zhang more than expected).
Fields of papers citing papers by Wancai Zhang
This network shows the impact of papers produced by Wancai Zhang. 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 Wancai Zhang. The network helps show where Wancai Zhang may publish in the future.
Co-authorship network of co-authors of Wancai Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Wancai Zhang. A scholar is included among the top collaborators of Wancai Zhang 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 Wancai Zhang. Wancai Zhang 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 | 31 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecastingbreakdown → | 3047 |
| 9 | 0 | |
| 10 | 11 | |
| 11 | 110 | |
| 12 | 9 |
About Wancai Zhang
Wancai Zhang is a scholar working on Computational Mathematics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 3.2k indexed citations. Recurring topics across this work include Caching and Content Delivery (4 papers), Tensor decomposition and applications (3 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Signal Processing (857 citations), Computational Mathematics (38 citations) and Management Science and Operations Research (623 citations). Wancai Zhang has collaborated with scholars based in China and United States. Frequent co-authors include Haoyi Zhou, Shuai Zhang, Jianxin Li, Shanghang Zhang, Hui Xiong, Hailong Sun, Xiaohui Guo, Ryuichi Takanobu, Xiaochun Cao and Yuan Li. Their work appears in journals such as Electronics, International Journal of Machine Learning and Cybernetics and Journal of Applied Remote Sensing.
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.