Da Chen

961 citations
45 papers · 562 · h-index 13

Impact in

Papers in

Da Chen

41 papers receiving 555 citations

Peers

Da Chen
Comparison fields: 5 of 99
  • Computer Vision and Pattern Recognition 252
  • Computational Mathematics 4
  • Information Systems 156
  • Artificial Intelligence 224
  • Management Science and Operations Research 39
Replace Xiaoyu Shi with:
Xiaoyu Shi China
Se‐Jung Lim South Korea
Haytham Elghazel France
Yihong Yang China
Ben Tan Hong Kong
Zhi Qiao China
Lixiang Xu China
Chao Han China
Da Chen relative to Xiaoyu Shi China Xiaoyu Shi's profile →
Citations per field
00.5×12×
Xiaoyu Shi · 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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013134
2 202176
3 202147
4 201337
5 202326
6 202221
7 202121
8 202417
9 202315
10 201412
11 201612
12 202112
13 202312
14 202111
15 201910
16 202410
17 202310
18 20229
19 20228
20 20257

About Da Chen

Da Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Environmental Engineering, Information Systems and Signal Processing, having authored 45 papers that have together received 562 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (7 papers), Video Analysis and Summarization (7 papers), Human Pose and Action Recognition (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Air Quality Monitoring and Forecasting (4 papers), Advanced Neural Network Applications (4 papers), Impact of Light on Environment and Health (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (252 citations), Computational Mathematics (4 citations), Information Systems (156 citations), Artificial Intelligence (224 citations) and Management Science and Operations Research (39 citations). Da Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jun Guo, Patrick Gallinari, Sheng Gao, Yuan He, Qi Wu, Chaorui Deng, Hui Xue, Yuefeng Chen, Feng Mao and Yuhong Li. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Energy, ISPRS International Journal of Geo-Information, Remote Sensing and Journal of Systems and Software.

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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