Siwei Lu
Impact in
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
-
- Manufacturing Process and Optimization
- Industrial Vision Systems and Defect Detection
Papers in
-
- Image and Object Detection Techniques 3
- Advanced Image and Video Retrieval Techniques 3
- Advanced Vision and Imaging 3
- Image Processing and 3D Reconstruction 2
-
- Additive Manufacturing and 3D Printing Technologies 9
- Co-authors
- Jun Shen (1 shared paper)Chuncheng Yang (7 shared papers)Changning Sun (7 shared papers)Dichen Li (8 shared papers)Beining Zhang (8 shared papers)Ling Wang (3 shared papers)Yanquan Geng (1 shared paper)Wenkun Xie (1 shared paper)
In The Last Decade
Siwei Lu
27 papers receiving 261 citations
Peers
Comparison fields: 5 of 76
- Automotive Engineering 68
- Industrial and Manufacturing Engineering 43
- Computer Vision and Pattern Recognition 79
- Media Technology 23
- General Materials Science 6
Countries citing papers authored by Siwei Lu
This map shows the geographic impact of Siwei Lu'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 Siwei Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siwei Lu more than expected).
Fields of papers citing papers by Siwei Lu
This network shows the impact of papers produced by Siwei Lu. 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 Siwei Lu. The network helps show where Siwei Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Siwei Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 44 | |
| 2 | 2022 | 42 | |
| 3 | 2024 | 35 | |
| 4 | 2024 | 21 | |
| 5 | 1993 | 21 | |
| 6 | 2005 | 15 | |
| 7 | 2003 | 10 | |
| 8 | 2024 | 8 | |
| 9 | 2007 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2004 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2002 | 5 | |
| 16 | 1991 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2002 | 4 |
About Siwei Lu
Siwei Lu is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Industrial and Manufacturing Engineering, Artificial Intelligence and Mechanical Engineering, having authored 29 papers that have together received 279 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (9 papers), Manufacturing Process and Optimization (6 papers), Neural Networks and Applications (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Image and Object Detection Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Vision and Imaging (3 papers) and Image Processing and 3D Reconstruction (2 papers). The work is most often cited by research in Automotive Engineering (68 citations), Industrial and Manufacturing Engineering (43 citations), Computer Vision and Pattern Recognition (79 citations), Media Technology (23 citations) and General Materials Science (6 citations). Siwei Lu has collaborated with scholars based in China, Canada and France. Frequent co-authors include Jun Shen, Chuncheng Yang, Changning Sun, Dichen Li, Beining Zhang, Ling Wang, Yanquan Geng, Wenkun Xie, Zuobin Wang and Guangfeng Shi. Their work appears in journals such as Virtual and Physical Prototyping, Pattern Recognition, Additive manufacturing, Journal of Mathematical Imaging and Vision and Machine Vision and Applications.
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.