Guosheng Lin

15.9k citations
162 papers · 9.0k indexed · 8 hit papers · h-index 38
Topics
Domain Adaptation and Few-Shot Learning (48 papers)Advanced Neural Network Applications (46 papers)Advanced Image and Video Retrieval Techniques (41 papers)
Partner nations
SingaporeChinaAustralia

In The Last Decade

Guosheng Lin

149 papers receiving 8.8k citations

Hit Papers

RefineNet: Multi-path Refinement Networks for High-Resolu...20142026201820222017201520202015201650010001.5k2.0k

Peers

Guosheng Lin
Comparison fields: 5 of 159
  • Computer Vision and Pattern Recognition 7.0k
  • Artificial Intelligence 2.9k
  • Media Technology 1.6k
  • Aerospace Engineering 799
  • Radiology, Nuclear Medicine and Imaging 555
Replace Pablo Arbeláez with:
Pablo Arbeláez Colombia
Rodrigo Benenson Germany
Song Bai China
Hanzi Mao United States
Jifeng Dai China
Markus Enzweiler Germany
Shijian Lu Singapore
In So Kweon South Korea
Subhransu Maji United States
Mingkui Tan China
Guosheng Lin relative to Pablo Arbeláez Colombia Pablo Arbeláez's profile →
Citations per field
00.5×1.5×2.0×
Pablo Arbeláez · 1×
Citations per year

Countries citing papers authored by Guosheng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Guosheng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guosheng Lin

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 5
4 0
5 1
6 1
7 1
8 5
9 1
10 6
11 16
12 10
13 20
14 124
15 3
16 70
17 8
18 76
19 33
20 84

About Guosheng Lin

Guosheng Lin is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology, having authored 162 papers that have together received 9.0k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (48 papers), Advanced Neural Network Applications (46 papers) and Advanced Image and Video Retrieval Techniques (41 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.0k citations), Media Technology (1.6k citations) and Artificial Intelligence (2.9k citations). Guosheng Lin has collaborated with scholars based in Singapore, China and Australia. Frequent co-authors include Chunhua Shen, Ian Reid, Fayao Liu, Anton Milan, Anton van den Hengel, Chunhua Shen, Yujun Cai, Chi Zhang, Chi Zhang and Qingyao Wu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Sensors.

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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