Weijing Shi
- Automotive Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Hardware and Architecture
- Co-authors
- Xin LiHuafeng YuMohamed Baker AlawiehZhiyi YuRagunathan RajkumarNikos AréchigaKai WangJingcheng Wang
- Topics
- Autonomous Vehicle Technology and Safety (3 papers)Advanced Neural Network Applications (3 papers)Sparse and Compressive Sensing Techniques (2 papers)
- Journals
- IEEE Transactions on Very Large Scale Integration (VLSI) SystemsIntegrationSID Symposium Digest of Technical Papers
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Weijing Shi
11 papers receiving 156 citations
Peers
Comparison fields: 5 of 45
- Automotive Engineering 77
- Computer Vision and Pattern Recognition 61
- Electrical and Electronic Engineering 46
- Control and Systems Engineering 23
- Hardware and Architecture 23
Countries citing papers authored by Weijing Shi
This map shows the geographic impact of Weijing Shi'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 Weijing Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijing Shi more than expected).
Fields of papers citing papers by Weijing Shi
This network shows the impact of papers produced by Weijing Shi. 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 Weijing Shi. The network helps show where Weijing Shi may publish in the future.
Co-authorship network of co-authors of Weijing Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Weijing Shi. A scholar is included among the top collaborators of Weijing Shi 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 Weijing Shi. Weijing Shi 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 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 109 | |
| 6 | 18 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 2 |
About Weijing Shi
Weijing Shi is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 13 papers that have together received 162 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (3 papers), Advanced Neural Network Applications (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Automotive Engineering (77 citations), Hardware and Architecture (23 citations) and Computer Vision and Pattern Recognition (61 citations). Weijing Shi has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xin Li, Huafeng Yu, Mohamed Baker Alawieh, Xin Li, Zhiyi Yu, Ragunathan Rajkumar, Nikos Aréchiga, Kai Wang, Xin Li and Jingcheng Wang. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Integration and SID Symposium Digest of Technical Papers.
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.