Shiyi Lan

579 total citations
6 papers, 310 citations indexed

About

Shiyi Lan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geology. According to data from OpenAlex, Shiyi Lan has authored 6 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Geology. Recurrent topics in Shiyi Lan's work include Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and 3D Surveying and Cultural Heritage (2 papers). Shiyi Lan is often cited by papers focused on Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and 3D Surveying and Cultural Heritage (2 papers). Shiyi Lan collaborates with scholars based in United States and China. Shiyi Lan's co-authors include Larry S. Davis, Ruichi Yu, Gang Yu, Tianrui Guan, Jun Wang, Rohan Chandra, Zuxuan Wu, Dinesh Manocha, Anima Anandkumar and Yuke Zhu and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Shiyi Lan

6 papers receiving 296 citations

Peers

Shiyi Lan
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 208
  • Computational Mechanics 100
  • Geology 78
  • Aerospace Engineering 65
  • Environmental Engineering 55
Replace Shuaifeng Zhi with:
Shuaifeng Zhi China
Qiguang Miao China
Zhenpei Yang United States
Jiantao Gao China
Julian Straub United States
Marie‐Julie Rakotosaona United States
Tristan Laidlow United Kingdom
Matthias Niesner Germany
Ignas Budvytis United Kingdom
Chuhang Zou United States
Shuaifeng Zhi China View profile →
Citations per field, relative to Shiyi Lan
Shiyi Lan · 1×
Citations per year, relative to Shiyi Lan
Shiyi Lan · 1×

Countries citing papers authored by Shiyi Lan

Since Specialization
Citations

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

Fields of papers citing papers by Shiyi Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiyi Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Shiyi Lan. A scholar is included among the top collaborators of Shiyi Lan 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 Shiyi Lan. Shiyi Lan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
# Work Indexed citations
1 94
2 62
3 32
4 107
5 14
6
FastMask: Segment Object Multi-scale Candidates in One Shot.
1

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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