Liukui Chen

27 papers receiving 426 citations

Liukui Chen's Hit Papers

AlexNet Convolutional Neural Network for Disease Detection and Classification of Tomato Leaf 2022 · 157 citations
1570+1+2Years since publication50100150

Peers

Liukui Chen
Comparison fields: 5 of 82
  • Experimental and Cognitive Psychology 109
  • Signal Processing 89
  • Analytical Chemistry 45
  • Automotive Engineering 46
  • Computer Vision and Pattern Recognition 75
Replace Pengfei Zhao with:
Pengfei Zhao China
Sheikh Ziauddin Pakistan
Narit Hnoohom Thailand
Arijit Chowdhury India
Jinsoo Cho South Korea
Bowen Pan China
Kazuya Takeda Japan
Luntian Mou China
Landu Jiang China
Liukui Chen relative to Pengfei Zhao China Pengfei Zhao's profile →
Citations per field
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Pengfei Zhao · 1×
Citations per year

Countries citing papers authored by Liukui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Liukui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
AlexNet Convolutional Neural Network for Disease Detection and Classification of Tomato Leaf
Hit paper breakdown →
2022157
2 201773
3 202157
4 201637
5 200729
6 201926
7 201716
8 20254
9 20234
10 20174
11 20174
12 20193
13
Personal identification by finger vein images based on tri-value template fuzzy matching
20093
14 20183
15 20142
16 20142
17 20112
18 20182
19 20152
20 20142

About Liukui Chen

Liukui Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology, Electrical and Electronic Engineering and Automotive Engineering, having authored 31 papers that have together received 440 indexed citations. Recurring topics across this work include Biometric Identification and Security (9 papers), Face and Expression Recognition (5 papers), Sleep and Work-Related Fatigue (5 papers), Vehicle emissions and performance (3 papers), Image and Object Detection Techniques (3 papers), Advanced Measurement and Detection Methods (3 papers), Forensic Fingerprint Detection Methods (3 papers) and Cognitive Computing and Networks (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (109 citations), Signal Processing (89 citations), Analytical Chemistry (45 citations), Automotive Engineering (46 citations) and Computer Vision and Pattern Recognition (75 citations). Liukui Chen has collaborated with scholars based in China, New Zealand and Canada. Frequent co-authors include Zuojin Li, Jun Peng, Hsing‐Chung Chen, Chien‐Erh Weng, Mosiur Rahaman, Jerry Chun‐Wei Lin, Agung Mulyo Widodo, Ying Wu, Simon X. Yang and Jing Wang. Their work appears in journals such as Sensors, Applied Sciences, Human-centric Computing and Information Sciences, IEEE Transactions on Vehicular Technology and Electronics.

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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