Mengchen Liu

974 citations
7 papers · 628 indexed · 1 hit paper · h-index 6
Topics
Data Visualization and Analytics (2 papers)Multimodal Machine Learning Applications (2 papers)Human Pose and Action Recognition (2 papers)

In The Last Decade

Mengchen Liu

7 papers receiving 599 citations

Hit Papers

BEVT: BERT Pretraining of Video Transformers202220262023202420224080120

Peers

Mengchen Liu
Comparison fields: 5 of 118
  • Computer Vision and Pattern Recognition 377
  • Artificial Intelligence 294
  • Signal Processing 57
  • Sociology and Political Science 43
  • Information Systems 35
Replace Aritra Dasgupta with:
Aritra Dasgupta United States
Kostiantyn Kucher Sweden
Florian Stoffel Germany
Divakar Yadav India
Antonio M. Rinaldi Italy
Ramzan Talib Pakistan
Shaima Qureshi India
Graham Wills United States
Sana Malik United States
Mengchen Liu relative to Aritra Dasgupta United States Aritra Dasgupta's profile →
Citations per field
00.5×2.7×
Aritra Dasgupta · 1×
Citations per year

Countries citing papers authored by Mengchen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mengchen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengchen Liu

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 38
2
BEVT: BERT Pretraining of Video Transformersbreakdown →
137
3 17
4 2
5 40
6 257
7 137

About Mengchen Liu

Mengchen Liu is a scholar working on Computer Vision and Pattern Recognition, Developmental Neuroscience and Artificial Intelligence, having authored 7 papers that have together received 628 indexed citations. Recurring topics across this work include Data Visualization and Analytics (2 papers), Multimodal Machine Learning Applications (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (377 citations), Artificial Intelligence (294 citations) and Health Informatics (11 citations). Mengchen Liu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Shi‐Xia Liu, Jun Zhu, Xiting Wang, Yingcai Wu, Yang Liu, Rui Wang, Yu–Gang Jiang, Yinpeng Chen, Zuxuan Wu and Dongdong Chen. Their work appears in journals such as Brain Research, IEEE Transactions on Visualization and Computer Graphics and Visual Informatics.

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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