Liukui Chen

639 total citations · 1 hit paper
32 papers, 429 citations indexed

About

Liukui Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Liukui Chen has authored 32 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Liukui Chen's work include Biometric Identification and Security (9 papers), Face and Expression Recognition (5 papers) and Sleep and Work-Related Fatigue (5 papers). Liukui Chen is often cited by papers focused on Biometric Identification and Security (9 papers), Face and Expression Recognition (5 papers) and Sleep and Work-Related Fatigue (5 papers). Liukui Chen collaborates with scholars based in China, New Zealand and Canada. Liukui Chen's co-authors include Zuojin Li, Jun Peng, Hsing‐Chung Chen, Jerry Chun‐Wei Lin, Chien‐Erh Weng, Mosiur Rahaman, Ying Wu, Simon X. Yang, Haibo He and Jing Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Sensors.

In The Last Decade

Liukui Chen

27 papers receiving 409 citations

Hit Papers

AlexNet Convolutional Neural Network for Disease Detectio... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. AlexNet Convolutional Neural Network for Disease Detection and Classification of Tomato Leaf
    2022 148 citations Liukui Chen et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liukui Chen China 8 108 103 88 73 48 32 429
Pengfei Zhao China 6 34 0.3× 82 0.8× 23 0.3× 52 0.7× 29 0.6× 13 300
Jinsoo Cho South Korea 12 64 0.6× 36 0.3× 40 0.5× 246 3.4× 74 1.5× 50 577
Narit Hnoohom Thailand 14 23 0.2× 105 1.0× 63 0.7× 377 5.2× 209 4.4× 84 725
Y.S. Gan Taiwan 12 22 0.2× 198 1.9× 46 0.5× 236 3.2× 21 0.4× 43 525
KangGeon Kim South Korea 12 55 0.5× 23 0.2× 85 1.0× 221 3.0× 50 1.0× 25 406
Landu Jiang China 14 14 0.1× 18 0.2× 19 0.2× 68 0.9× 69 1.4× 25 441
Kazuya Takeda Japan 10 13 0.1× 54 0.5× 84 1.0× 99 1.4× 13 0.3× 67 461
Chwan-Lu Tseng Taiwan 12 79 0.7× 24 0.2× 57 0.6× 66 0.9× 137 2.9× 58 738

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-authorship network of co-authors of Liukui Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Liukui Chen. A scholar is included among the top collaborators of Liukui Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liukui Chen. Liukui Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Zuojin, et al.. (2025). An LSTM Network With Neural Plasticity for Driver Fatigue Recognition on Real Roads. IEEE Transactions on Industrial Electronics. 72(12). 14668–14676. 1 indexed citations
2.
Chen, Liukui, et al.. (2023). U-Net-Embedded Gabor Kernel and Coaxial Correction Methods to Dorsal Hand Vein Image Projection System. Applied Sciences. 13(20). 11222–11222.
3.
Chen, Liukui, et al.. (2023). A Finger Vein Liveness Detection System Based on Multi-Scale Spatial-Temporal Map and Light-ViT Model. Sensors. 23(24). 9637–9637. 3 indexed citations
4.
Chen, Liukui, et al.. (2021). Design of Palm Vein Platform and Pattern Enhancement Model Based on Raspberry Pi. 495–498. 1 indexed citations
5.
Li, Zuojin, et al.. (2020). Support vector machine filtering data aid on fatigue driving detection. SHILAP Revista de lepidopterología. 309. 3036–3036. 1 indexed citations
6.
Chen, Liukui, et al.. (2019). A Contrast Enhancement Method of Infrared Finger Vein Image Based on Fuzzy Technique. 307–310. 2 indexed citations
7.
Li, Zuojin, et al.. (2019). A fuzzy recurrent neural network for driver fatigue detection based on steering-wheel angle sensor data. International Journal of Distributed Sensor Networks. 15(9). 812340013–812340013. 24 indexed citations
8.
Chen, Liukui, et al.. (2018). Sustainable Clustering for Energy Harvesting Sensor Networks. 15. 543–547. 3 indexed citations
9.
Li, Zuojin, et al.. (2017). A Method for Identifying Fatigue State of Driver's Face Based on Improved AAM Algorithm. International Journal of Software Science and Computational Intelligence. 9(2). 31–49. 4 indexed citations
10.
Li, Zuojin, et al.. (2017). Identification of finger vein using neural network recognition research based on PCA. 456–460. 17 indexed citations
11.
Chen, Liukui, et al.. (2016). A Finger Vein Image-Based Personal Identification System With Self-Adaptive Illuminance Control. IEEE Transactions on Instrumentation and Measurement. 66(2). 294–304. 36 indexed citations
12.
Zhang, Kesheng, Liukui Chen, Weihua Ou, Xueqin Jiang, & Fei Long. (2015). A theory for monitoring combustion of natural gas based on the maximum point in sound absorption spectrum. Acta Physica Sinica. 64(5). 54302–54302. 8 indexed citations
13.
Li, Zuojin, Liukui Chen, & Chen Gui. (2015). Bio-inspired Approach for Recognition of Single Object in Natural Images against Complex Background. International Journal of Signal Processing Image Processing and Pattern Recognition. 8(7). 189–198. 1 indexed citations
14.
Li, Zuojin, Jun Peng, Liukui Chen, Wei Zhou, & Sreenivas Sremath Tirumala. (2015). Fatigue driving detecting method based on time-space features in real driving conditions. 1. 183–187. 2 indexed citations
15.
Li, Zuojin, et al.. (2014). An Energy Computing Method Inspired from Visual Cognitive Function for Dynamic Behavioural Detection in Video Frames. International Journal of Cognitive Informatics and Natural Intelligence. 8(3). 1–12. 2 indexed citations
16.
Chen, Liukui, et al.. (2014). A Principal Component Analysis Fusion Method on Infrared Multi-Light-Intensity Finger Vein Images. 145. 281–286. 2 indexed citations
17.
Chen, Liukui, et al.. (2011). A design of infrared finger vein image acquisition terminal. 31. 626–629. 2 indexed citations
18.
Chen, Liukui & Hong Zheng. (2009). Personal identification by finger vein images based on tri-value template fuzzy matching. WSEAS Transactions on Computers archive. 8(7). 1165–1174. 3 indexed citations
19.
Chen, Liukui & Hong Zheng. (2009). Finger vein image recognition based on tri-value template fuzzy matching. 206–211. 1 indexed citations
20.
Chen, Liukui, et al.. (2007). Near-Infrared Dorsal Hand Vein Image Segmentation by Local Thresholding Using Grayscale Morphology. 38. 868–871. 29 indexed citations

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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