Yichen Chen

748 citations
45 papers · 558 · h-index 13

Impact in

Papers in

Yichen Chen

43 papers receiving 543 citations

Peers

Yichen Chen
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 181
  • Signal Processing 46
  • Bioengineering 17
  • Artificial Intelligence 104
  • Polymers and Plastics 41
Replace Cheng Cheng with:
Cheng Cheng China
Ning Xiao China
Ziyun Li United States
Yuanzhen Wang China
Wenyan Guo China
Sahil Arora India
Inho Lee South Korea
Ziyan Chen China
Longwen Zhang China
Yichen Chen relative to Cheng Cheng China Cheng Cheng's profile →
Citations per field
00.5×8.5×
Cheng Cheng · 1×
Citations per year

Countries citing papers authored by Yichen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yichen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yichen 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 Yichen Chen Line = papers co-authored together Yichen 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 201466
2 202160
3 201358
4 202337
5 202334
6 202130
7 201326
8 202226
9 202320
10 201320
11 202118
12 202414
13 201214
14 202312
15 201112
16 201410
17
Approximation Hardness for A Class of Sparse Optimization Problems
20199
18 20229
19 20219
20 20218

About Yichen Chen

Yichen Chen is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry and Computational Mechanics, having authored 45 papers that have together received 558 indexed citations. Recurring topics across this work include Concrete and Cement Materials Research (6 papers), Sparse and Compressive Sensing Techniques (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Recycling and utilization of industrial and municipal waste in materials production (4 papers), Silicon Carbide Semiconductor Technologies (4 papers), Advanced DC-DC Converters (4 papers), Magnesium Oxide Properties and Applications (3 papers) and Innovative concrete reinforcement materials (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Signal Processing (46 citations), Bioengineering (17 citations), Artificial Intelligence (104 citations) and Polymers and Plastics (41 citations). Yichen Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Rama Chellappa, Vishal M. Patel, P. Jonathon Phillips, Sumit Shekhar, Hong Liu, Qing Hao, Yung‐Chin Ding, C. S. Sastry, Chao Zhao and Dong Wang. Their work appears in journals such as Biosensors and Bioelectronics, Journal of Building Engineering, Advanced Healthcare Materials, Journal of Machine Learning Research and Journal of Iron and Steel Research International.

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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