Yun Luo

1.7k total citations · 1 hit paper
35 papers, 1.1k citations indexed

About

Yun Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Yun Luo has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Yun Luo's work include EEG and Brain-Computer Interfaces (6 papers), Emotion and Mood Recognition (4 papers) and Video Surveillance and Tracking Methods (4 papers). Yun Luo is often cited by papers focused on EEG and Brain-Computer Interfaces (6 papers), Emotion and Mood Recognition (4 papers) and Video Surveillance and Tracking Methods (4 papers). Yun Luo collaborates with scholars based in China, United States and Australia. Yun Luo's co-authors include Bao‐Liang Lu, Lianyong Qi, Xiaolong Xu, Shunmei Meng, Xuyun Zhang, Kai Peng, Qingxiang Liu, Yingying Jiao, Ziyu Wan and Anbu Huang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and Neurocomputing.

In The Last Decade

Yun Luo

33 papers receiving 1.0k citations

Hit Papers

align trajectories

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.

A computation offloading method over big data for IoT-enabled cloud-edge computing

2019 251 citations Xiaolong Xu, Yun Luo et al. Future Generation Computer Systems profile →

Peers

Yun Luo

CN

AI

CNC

CVPR

IS

Mohammad I. Daoud Jordan

Xin Qi China

Xiangwei Zheng China

Galip Aydın Türkiye

Marwa Qaraqe Qatar

Kwee-Bo Sim South Korea

Shyamanta M. Hazarika India

Brett J. Borghetti United States

Raja Majid Mehmood Malaysia

Mohammad I. Daoud Jordan

Yun Luo

290 ×0.9

CN

261 ×0.9

AI

348 ×1.3

CNC

257 ×1.4

CVPR

230 ×1.3

IS

Citations per year, relative to Yun Luo Yun Luo (= 1×) peers Mohammad I. Daoud

Countries citing papers authored by Yun Luo

Since Specialization

Citations

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

Fields of papers citing papers by Yun Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Luo. A scholar is included among the top collaborators of Yun 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 Yun Luo. Yun Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Luo, Yun. (2024). Enhancing educational interfaces: Integrating user-centric design principles for effective and inclusive learning environments. Applied and Computational Engineering. 64(1). 192–197. 3 indexed citations

2.

Luo, Yun, et al.. (2024). A cross-scenario and cross-subject domain adaptation method for driving fatigue detection. Journal of Neural Engineering. 21(4). 46004–46004. 3 indexed citations

3.

Luo, Yun. (2024). Research on dynamic adaptation of English translation based on deep reinforcement learning. 238–241.

4.

Pei, Xiaobing, Yuling Chen, Yun Luo, Zai-Dong Li, & J.Y. Wei. (2024). Lightweight IoT-Oriented Verifiable Computing Scheme in Cloud Computing Circumstance. 39–44. 1 indexed citations

5.

Peng, Dan, et al.. (2023). Investigating Emotion EEG Patterns for Depression Detection with Attentive Simple Graph Convolutional Network. PubMed. 2023. 1–4. 1 indexed citations

6.

Peng, Dan, et al.. (2023). Deep Depression Detection with Resting-State and Cognitive-Task EEG. PubMed. 2023. 1–4. 4 indexed citations

7.

Luo, Yun, et al.. (2020). Data augmentation for enhancing EEG-based emotion recognition with deep generative models. Journal of Neural Engineering. 17(5). 56021–56021. 111 indexed citations

8.

Dou, Wanchun, et al.. (2020). Edge Computing-Enabled Deep Learning for Real-time Video Optimization in IIoT. IEEE Transactions on Industrial Informatics. 17(4). 2842–2851. 31 indexed citations

9.

Liu, Yang, Anbu Huang, Yun Luo, et al.. (2020). FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 34(8). 13172–13179. 192 indexed citations

10.

Luo, Yun, et al.. (2020). Tensor mutual information and its applications. Concurrency and Computation Practice and Experience. 34(14). 3 indexed citations

11.

Jiao, Yingying, et al.. (2020). Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks. Neurocomputing. 408. 100–111. 113 indexed citations

12.

Hong, Fan, Qiang Wang, Yun Luo, & Bailin Li. (2019). Abnormal railway fastener detection using minimal significant regions and local binary patterns. Journal of Optical Technology. 86(12). 799–799. 4 indexed citations

13.

Luo, Yun, et al.. (2018). Sleep Quality Estimation with Adversarial Domain Adaptation: From Laboratory to Real Scenario. 1–8. 5 indexed citations

14.

Luo, Yun & Bao‐Liang Lu. (2018). EEG Data Augmentation for Emotion Recognition Using a Conditional Wasserstein GAN. PubMed. 2018. 2535–2538. 163 indexed citations

15.

Xu, Xiaolong, Shucun Fu, Yuan Yuan, et al.. (2018). Multiobjective computation offloading for workflow management in cloudlet‐based mobile cloud using NSGA‐II. Computational Intelligence. 35(3). 476–495. 43 indexed citations

16.

Liu, Meng, Yun Luo, Chi Yang, et al.. (2018). Privacy-preserving matrix product based static mutual exclusive roles constraints violation detection in interoperable role-based access control. Future Generation Computer Systems. 109. 457–468. 3 indexed citations

17.

Luo, Yun, et al.. (2010). Pedestrian detection in near-infrared night vision system. 51–58. 43 indexed citations

18.

Luo, Yun. (2008). Can subclasses help a multiclass learning problem?. 17. 214–219. 8 indexed citations

19.

Park, Jungme, et al.. (2008). Pedestrian detection by modeling local convex shape features. Proceedings - International Conference on Pattern Recognition. 28. 1–4. 3 indexed citations

20.

Luo, Yun. (2007). Analysis on Influence of Locating Node Position of Tumbler Axle-box on Locomotive Dynamic Performance. 1 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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