Siwei Lu

422 citations
30 papers · 311 · h-index 10

Impact in

Papers in

Siwei Lu

28 papers receiving 294 citations

Peers

Siwei Lu
Comparison fields: 5 of 76
  • Automotive Engineering 69
  • Computer Vision and Pattern Recognition 94
  • Industrial and Manufacturing Engineering 44
  • Media Technology 26
  • General Materials Science 6
Replace Gurbhej Singh with:
Gurbhej Singh India
Weishen Chu United States
Linghao Zhang China
Marco Zago Italy
Yao Zhao China
Vedang Chauhan United States
Pınar Demircioğlu Türkiye
Vignesh Sampath Spain
Jennifer L. Braid United States
Siwei Lu relative to Gurbhej Singh India Gurbhej Singh's profile →
Citations per field
00.5×1.5×2.3×
Gurbhej Singh · 1×
Citations per year

Countries citing papers authored by Siwei Lu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Siwei Lu Line = papers co-authored together Siwei Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200350
2 202247
3 202438
4 199323
5 202422
6 200515
7 200315
8 200710
9 20249
10 20249
11 20048
12 20218
13 20247
14 20247
15 20246
16 19916
17 20215
18 20025
19 20244
20 20024

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 30 papers that have together received 311 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (9 papers), Manufacturing Process and Optimization (6 papers), Image and Object Detection Techniques (3 papers), Advanced Vision and Imaging (3 papers), Neural Networks and Applications (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Optical measurement and interference techniques (2 papers). The work is most often cited by research in Automotive Engineering (69 citations), Computer Vision and Pattern Recognition (94 citations), Industrial and Manufacturing Engineering (44 citations), Media Technology (26 citations) and General Materials Science (6 citations). Siwei Lu has collaborated with scholars based in China, Canada and France. Frequent co-authors include Ziqing Wang, Jun Shen, Chuncheng Yang, Beining Zhang, Dichen Li, Changning Sun, Ling Wang, Wenkun Xie, Guangfeng Shi and Jingran Zhang. Their work appears in journals such as Additive manufacturing, Pattern Recognition, Virtual and Physical Prototyping, Review of Scientific Instruments and Journal of Materials Research and Technology.

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.

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