Shiwei Li

1.5k citations
31 papers · 835 indexed · 1 hit paper · h-index 13

Shiwei Li

30 papers receiving 819 citations

Hit Papers

BlendedMVS: A Large-Scale Dataset for Generalized Multi-V...261202020262022202450100150200250

Peers

Shiwei Li
Comparison fields: 5 of 85
  • Computer Graphics and Computer-Aided Design 113
  • Computer Vision and Pattern Recognition 515
  • Geology 116
  • Biophysics 114
  • Structural Biology 22
Replace Jon Hasselgren with:
Jon Hasselgren Sweden
Raif M. Rustamov United States
Dongbo Min South Korea
Xiaoshuai Zhang China
Daniyar Turmukhambetov United Kingdom
Martin Eisemann Germany
Cengiz Öztireli Switzerland
Luca Cosmo Italy
Y. Lamdan United States
Peter Sander France
Shiwei Li relative to Jon Hasselgren Sweden Jon Hasselgren's profile →
Citations per field
00.5×4.6×
Jon Hasselgren · 1×
Citations per year

Countries citing papers authored by Shiwei Li

Since Specialization
Citations

This map shows the geographic impact of Shiwei Li'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 Shiwei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiwei Li more than expected).

Fields of papers citing papers by Shiwei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiwei Li. 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 Shiwei Li. The network helps show where Shiwei Li may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shiwei Li, 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 Shiwei Li Line = papers co-authored together Shiwei Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 202413
5 20244
6 202311
7 202318
8 20238
9 20237
10 20231
11 202228
12 202017
13
BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networksbreakdown →
2020261
14 202032
15 201910
16 20195
17 201811
18 201617
19 20152
20 201469

About Shiwei Li

Shiwei Li is a scholar working on Biophysics, Computer Graphics and Computer-Aided Design and Media Technology, having authored 31 papers that have together received 835 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (8 papers), Cell Image Analysis Techniques (7 papers), Advanced Vision and Imaging (6 papers), Computational Drug Discovery Methods (5 papers), Image Processing Techniques and Applications (4 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (113 citations), Computer Vision and Pattern Recognition (515 citations) and Geology (116 citations). Shiwei Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yao Yao, Tian Fang, Zixin Luo, Long Quan, Jingyang Zhang, Lei Zhou, Yufan Ren, Jiahui Zhang, Tianwei Shen and Shaoqun Zeng. Their work appears in journals such as Neuroinformatics, European Journal of Medicinal Chemistry, Scientific Reports, Phytotherapy Research and Nature Communications.

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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