Weijie Tan
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Changgen PengZhen LiLiangrong LiWeiqiang TanXianming WuQunfei ZhangJianfeng ChenLisheng Fan
- Topics
- Chaos-based Image/Signal Encryption (25 papers)Speech and Audio Processing (20 papers)Direction-of-Arrival Estimation Techniques (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaChemical Engineering JournalIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Weijie Tan
89 papers receiving 613 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 241
- Electrical and Electronic Engineering 182
- Artificial Intelligence 163
- Signal Processing 96
- Computer Networks and Communications 82
Countries citing papers authored by Weijie Tan
This map shows the geographic impact of Weijie Tan'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 Weijie Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijie Tan more than expected).
Fields of papers citing papers by Weijie Tan
This network shows the impact of papers produced by Weijie Tan. 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 Weijie Tan. The network helps show where Weijie Tan may publish in the future.
Co-authorship network of co-authors of Weijie Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Weijie Tan. A scholar is included among the top collaborators of Weijie Tan 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 Weijie Tan. Weijie Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 10 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 8 |
About Weijie Tan
Weijie Tan is a scholar working on Computational Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 112 papers that have together received 636 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (25 papers), Speech and Audio Processing (20 papers) and Direction-of-Arrival Estimation Techniques (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (241 citations), Signal Processing (96 citations) and Computational Mathematics (4 citations). Weijie Tan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Changgen Peng, Zhen Li, Liangrong Li, Weiqiang Tan, Xianming Wu, Qunfei Zhang, Jianfeng Chen, Lisheng Fan, Dongqing Xie and Xi’an Feng. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and IEEE Transactions on Geoscience and 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.