Shanchuan Lin

628 total citations · 1 hit paper
5 papers, 316 citations indexed

About

Shanchuan Lin is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Shanchuan Lin has authored 5 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Molecular Biology and 1 paper in Artificial Intelligence. Recurrent topics in Shanchuan Lin's work include Advanced Vision and Imaging (2 papers), Advanced Image Processing Techniques (2 papers) and Image Enhancement Techniques (2 papers). Shanchuan Lin is often cited by papers focused on Advanced Vision and Imaging (2 papers), Advanced Image Processing Techniques (2 papers) and Image Enhancement Techniques (2 papers). Shanchuan Lin collaborates with scholars based in United States and China. Shanchuan Lin's co-authors include Soumyadip Sengupta, Linjie Yang, Imran Saleemi, Ira Kemelmacher-Shlizerman, Brian Curless, Steve Seitz, Jiashi Li, Bingchen Liu, Rik Koncel-Kedziorski and Yejin Choi and has published in prestigious journals such as Journal of Cellular Biochemistry and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Shanchuan Lin

5 papers receiving 304 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Common Diffusion Noise Schedules and Sample Steps are Flawed

2024 46 citations Shanchuan Lin, Bingchen Liu et al. profile →

Peers

Shanchuan Lin

CVPR

AI

CM

CGCD

CSE

Songhua Liu China

Weize Quan China

Bahjat Kawar Israel

Bill Freeman United States

Narek Tumanyan Israel

Yael Vinker Israel

Samaneh Azadi United States

Yanze Wu China

Gwanghyun Kim South Korea

Jeffrey Wu United States

Songhua Liu China

Shanchuan Lin

312 ×1.4

CVPR

119 ×1.6

AI

28 ×0.5

CM

90 ×1.8

CGCD

17 ×0.9

CSE

Citations per year, relative to Shanchuan Lin Shanchuan Lin (= 1×) peers Songhua Liu

Countries citing papers authored by Shanchuan Lin

Since Specialization

Citations

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

Fields of papers citing papers by Shanchuan Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanchuan Lin

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Lin, Shanchuan, et al.. (2024). Common Diffusion Noise Schedules and Sample Steps are Flawed. 5392–5399. 46 indexed citations breakdown →

2.

Lin, Shanchuan, Linjie Yang, Imran Saleemi, & Soumyadip Sengupta. (2022). Robust High-Resolution Video Matting with Temporal Guidance. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3132–3141. 87 indexed citations

3.

Lin, Shanchuan, et al.. (2021). Real-Time High-Resolution Background Matting. 8758–8767. 121 indexed citations

4.

Amini, Aida, Saadia Gabriel, Shanchuan Lin, et al.. (2019). . 2357–2367. 54 indexed citations

5.

Lin, Shanchuan, Tongtong Hu, Shi‐You Chen, et al.. (2017). ABIN1 inhibits HDAC1 ubiquitination and protects it from both proteasome‐ and lysozyme‐dependent degradation. Journal of Cellular Biochemistry. 119(4). 3030–3043. 8 indexed citations

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.

Explore authors with similar magnitude of impact