Liangchen Song

2.0k total citations · 2 hit papers
22 papers, 1.2k citations indexed

About

Liangchen Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Liangchen Song has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Liangchen Song's work include Human Pose and Action Recognition (7 papers), Advanced Neural Network Applications (7 papers) and Video Surveillance and Tracking Methods (6 papers). Liangchen Song is often cited by papers focused on Human Pose and Action Recognition (7 papers), Advanced Neural Network Applications (7 papers) and Video Surveillance and Tracking Methods (6 papers). Liangchen Song collaborates with scholars based in United States, China and Germany. Liangchen Song's co-authors include Junsong Yuan, Lefei Zhang, Jialian Wu, Bo Du, Yipeng Zhang, Xinggang Wang, Ming Yang, Yu Wang, Jiale Cao and Cheng Wang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

Liangchen Song

21 papers receiving 1.1k citations

Hit Papers

Track to Detect and Segment: An Online Multi-Object Tracker 2021 2026 2022 2024 2021 2023 50 100 150 200

Peers

Liangchen Song
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 920
  • Artificial Intelligence 261
  • Biomedical Engineering 182
  • Media Technology 128
  • Computational Mechanics 113
Replace Yang Wu with:
Yang Wu China
Wenxiu Sun Hong Kong
Avinash Ravichandran United States
Seungryong Kim South Korea
Anurag Ranjan Germany
Antoine Vacavant France
Hehe Fan China
Xianbiao Qi China
Jun Hao Liew Singapore
Yang Wu China View profile →
Citations per field, relative to Liangchen Song
Liangchen Song · 1×
Citations per year, relative to Liangchen Song
Liangchen Song · 1×

Countries citing papers authored by Liangchen Song

Since Specialization
Citations

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

Fields of papers citing papers by Liangchen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangchen Song

This figure shows the co-authorship network connecting the top 25 collaborators of Liangchen Song. A scholar is included among the top collaborators of Liangchen Song 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 Liangchen Song. Liangchen Song 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
# Work Indexed citations
1 2
2 4
3 5
4 35
5 13
6 26
7 106
8 27
9 10
10 9
11 1
12 0
13
Track to Detect and Segment: An Online Multi-Object Tracker breakdown →
245
14 6
15 55
16 237
17 195
18 5
19 24
20 9

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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