Da Chen

914 citations
42 papers · 374 · h-index 11

Impact in

    • Multimodal Machine Learning Applications
    • Video Analysis and Summarization
    • Human Pose and Action Recognition
    • Advanced Image and Video Retrieval Techniques
    • Advanced Neural Network Applications
    • Domain Adaptation and Few-Shot Learning

Papers in

Da Chen

39 papers receiving 368 citations

Peers

Da Chen
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 187
  • Artificial Intelligence 122
  • Signal Processing 27
  • Acoustics and Ultrasonics 2
  • Media Technology 18
Replace Ahmad AA Alkhatib with:
Ahmad AA Alkhatib Jordan
Xinxin Zhou China
Zejun Zhang China
Zhibin Wang China
Shihui Zhang China
Yan Ren China
Shang Ma China
Yuxian Meng China
Chalavadi Vishnu India
Da Chen relative to Ahmad AA Alkhatib Jordan Ahmad AA Alkhatib's profile →
Citations per field
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Ahmad AA Alkhatib · 1×
Citations per year

Countries citing papers authored by Da Chen

Since Specialization
Citations

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

Fields of papers citing papers by Da Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Da Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Da Chen Line = papers co-authored together Da Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202172
2 202141
3 201337
4 202220
5 202119
6 202318
7 202415
8 202314
9 202111
10 202111
11 201411
12 201910
13 201610
14 20248
15 20238
16 20228
17 20236
18 20226
19 20235
20 20255

About Da Chen

Da Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Environmental Engineering, Signal Processing and Electrical and Electronic Engineering, having authored 42 papers that have together received 374 indexed citations. Recurring topics across this work include Video Analysis and Summarization (7 papers), Multimodal Machine Learning Applications (7 papers), Human Pose and Action Recognition (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (4 papers), Air Quality Monitoring and Forecasting (4 papers), Impact of Light on Environment and Health (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (187 citations), Artificial Intelligence (122 citations), Signal Processing (27 citations), Acoustics and Ultrasonics (2 citations) and Media Technology (18 citations). Da Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yuan He, Hui Xue, Yuefeng Chen, Feng Mao, Chaorui Deng, Yuhong Li, Qi Wu, Cheng Deng, Shizhe Chen and Jun Guo. Their work appears in journals such as Scientific Reports, IEEE Transactions on Image Processing, Chemical Engineering & Technology, Waste Management & Research The Journal for a Sustainable Circular Economy and Journal of Transport Geography.

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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