Keyin Chen

15 papers receiving 322 citations

Peers

Keyin Chen
Comparison fields: 5 of 85
  • Industrial and Manufacturing Engineering 34
  • Radiological and Ultrasound Technology 15
  • Building and Construction 40
  • Plant Science 79
  • Computer Vision and Pattern Recognition 40
Replace Vung V. Pham with:
Vung V. Pham United States
Fathimathul Rajeena P. P. Saudi Arabia
Letu Qingge United States
Muhammad Aatir Fayaz South Korea
Chau Pham United States
Rongyu Zhang China
Zhang Min China
Qingquan Xu China
Keyin Chen relative to Vung V. Pham United States Vung V. Pham's profile →
Citations per field
00.5×2×2.9×
Vung V. Pham · 1×
Citations per year

Countries citing papers authored by Keyin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Keyin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Keyin 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 Keyin Chen Line = papers co-authored together Keyin Chen links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2020126
2 202285
3 202335
4 202418
5 202215
6 20139
7 20239
8 20157
9 20195
10 20114
11
Fast recognition of multiple color targets of litchi image in field environment based on Double Otsu algorithm.
20144
12 20253
13 20251
14 20231
15 20251
16 20220
17 20240

About Keyin Chen

Keyin Chen is a scholar working on Industrial and Manufacturing Engineering, Building and Construction, Biological Psychiatry, Artificial Intelligence and Software, having authored 17 papers that have together received 323 indexed citations. Recurring topics across this work include Date Palm Research Studies (3 papers), Smart Agriculture and AI (3 papers), Ocular Surface and Contact Lens (2 papers), BIM and Construction Integration (2 papers), Tryptophan and brain disorders (1 paper), Ocular Infections and Treatments (1 paper), Plant Pathogens and Fungal Diseases (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (34 citations), Radiological and Ultrasound Technology (15 citations), Building and Construction (40 citations), Plant Science (79 citations) and Computer Vision and Pattern Recognition (40 citations). Keyin Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jia‐Rui Lin, Xinzheng Lu, Yucheng Zhou, Juntao Xiong, Hongxing Peng, Yuanyuan Shao, Chao Xue, Zhihua Xie, Liuhong Zhang and Zhe Zheng. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Journal of Controlled Release, Computers in Industry, International Journal of Pharmaceutics and Precision Agriculture.

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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