Linkai Luo

2.4k total citations
40 papers, 610 citations indexed

About

Linkai Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Linkai Luo has authored 40 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 7 papers in Control and Systems Engineering. Recurrent topics in Linkai Luo's work include Face and Expression Recognition (8 papers), Neural Networks and Applications (7 papers) and Advanced Algorithms and Applications (7 papers). Linkai Luo is often cited by papers focused on Face and Expression Recognition (8 papers), Neural Networks and Applications (7 papers) and Advanced Algorithms and Applications (7 papers). Linkai Luo collaborates with scholars based in China, Hong Kong and United States. Linkai Luo's co-authors include Xi Chen, Hong Peng, Qifeng Zhou, Fan Yang, Zhimin Tang, Yue Wang, Hao Zhou, Hai Liu, Guifang Shao and Siyu Yao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Linkai Luo

37 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linkai Luo China 14 164 128 122 64 59 40 610
Carlotta Orsenigo Italy 14 259 1.6× 74 0.6× 82 0.7× 56 0.9× 71 1.2× 28 753
Adriaan Lambrechts Belgium 4 256 1.6× 166 1.3× 134 1.1× 111 1.7× 58 1.0× 7 677
Xingyu Zhou China 12 150 0.9× 137 1.1× 98 0.8× 113 1.8× 44 0.7× 70 563
Amelia Ritahani Ismail Malaysia 12 219 1.3× 108 0.8× 101 0.8× 82 1.3× 47 0.8× 74 789
Kuang Yu Huang Taiwan 12 105 0.6× 181 1.4× 175 1.4× 66 1.0× 49 0.8× 28 720
Anselmo Ferreira Brazil 12 151 0.9× 158 1.2× 494 4.0× 92 1.4× 70 1.2× 20 875
Philip D. Wasserman United States 6 338 2.1× 86 0.7× 116 1.0× 149 2.3× 36 0.6× 7 1.0k
Yanhui Guo China 18 327 2.0× 110 0.9× 179 1.5× 146 2.3× 27 0.5× 66 1.1k
Guilherme Palermo Coelho Brazil 15 232 1.4× 101 0.8× 34 0.3× 46 0.7× 41 0.7× 47 542
Jie Ding United States 13 247 1.5× 31 0.2× 45 0.4× 141 2.2× 38 0.6× 64 869

Countries citing papers authored by Linkai Luo

Since Specialization
Citations

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

Fields of papers citing papers by Linkai Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linkai Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Linkai Luo. A scholar is included among the top collaborators of Linkai Luo 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 Linkai Luo. Linkai Luo 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.
Luo, Linkai, et al.. (2024). BRAVE: A cascaded generative model with sample attention for robust few shot image classification. Neurocomputing. 610. 128585–128585. 3 indexed citations
2.
Lin, Shaohui, et al.. (2023). Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution. Neurocomputing. 554. 126592–126592. 11 indexed citations
3.
Lin, Shaohui, et al.. (2023). Compressing convolutional neural networks with cheap convolutions and online distillation. Displays. 78. 102428–102428. 4 indexed citations
4.
Tang, Zhimin, et al.. (2022). Automatic Sparse Connectivity Learning for Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 34(10). 7350–7364. 52 indexed citations
5.
Luo, Linkai, Yue Wang, & Hai Liu. (2022). COVID-19 personal health mention detection from tweets using dual convolutional neural network. Expert Systems with Applications. 200. 117139–117139. 21 indexed citations
6.
Luo, Linkai, et al.. (2022). A Novel Focal Ordinal Loss for Assessment of Knee Osteoarthritis Severity. Neural Processing Letters. 54(6). 5199–5224. 16 indexed citations
7.
Luo, Linkai, et al.. (2022). A method of multi-models fusion for speaker recognition. International Journal of Speech Technology. 25(2). 493–498. 2 indexed citations
8.
Sun, Qingyun, et al.. (2019). A Method of Speaker Recognition for Small-scale Speakers Based on One-versus-rest and Neural Network. 25. 771–774. 1 indexed citations
9.
Tang, Zhimin, Shaohui Li, Linkai Luo, et al.. (2019). Image Super-Resolution via Simplified Dense Network With Non-Degenerate Layers. IEEE Access. 7. 24775–24787. 9 indexed citations
10.
Yao, Siyu, Linkai Luo, & Hong Peng. (2018). High-Frequency Stock Trend Forecast Using LSTM Model. 1–4. 29 indexed citations
11.
Luo, Linkai, et al.. (2018). Compression artifact removal using multi-scale reshuffling convolutional network. Computer Vision and Pattern Recognition. 2567–2570. 3 indexed citations
12.
Dai, Cheng, Linkai Luo, Hong Peng, & Qingyun Sun. (2018). A Method Based on Support Vector Machine for Voice Activity Detection on Isolated Words. 1–4. 1 indexed citations
13.
Yan, Zhengbing, Chun-Yu Chen, Linkai Luo, & Yuan Yao. (2016). Stable principal component pursuit-based thermographic data analysis for defect detection in polymer composites. Journal of Process Control. 49. 36–44. 33 indexed citations
14.
Zhou, Qifeng, et al.. (2014). Structure damage detection based on random forest recursive feature elimination. Mechanical Systems and Signal Processing. 46(1). 82–90. 81 indexed citations
15.
Shao, Guifang, Fan Yang, Qian Zhang, Qifeng Zhou, & Linkai Luo. (2012). Using the Maximum Between-Class Variance for Automatic Gridding of cDNA Microarray Images. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(1). 181–192. 23 indexed citations
16.
Luo, Linkai, et al.. (2011). A Soft-Margin Support Vector Machine based on Normal Convex Hulls. International Journal of Advancements in Computing Technology. 3(7). 244–254.
17.
Luo, Linkai, et al.. (2010). Improving the Computational Efficiency of Recursive Cluster Elimination for Gene Selection. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(1). 122–129. 27 indexed citations
18.
Luo, Linkai, et al.. (2010). Feature selection for text classification using OR+SVM-RFE. 1648–1652. 7 indexed citations
19.
Luo, Linkai, Dengfeng Huang, Hong Peng, et al.. (2010). A New Parameter Selection Method for Support Vector Machine Based on the Decision Value. Journal of Convergence Information Technology. 5(8). 36–41. 8 indexed citations
20.
Pan, Jin‐Shui, Mei‐Zhu Hong, Qifeng Zhou, et al.. (2009). Integrated application of uniform design and least-squares support vector machines to transfection optimization. BMC Biotechnology. 9(1). 52–52. 6 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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