Sihui Luo

673 total citations · 1 hit paper
17 papers, 377 citations indexed

About

Sihui Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Sihui Luo has authored 17 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Mechanical Engineering. Recurrent topics in Sihui Luo's work include Gaze Tracking and Assistive Technology (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Human Pose and Action Recognition (2 papers). Sihui Luo is often cited by papers focused on Gaze Tracking and Assistive Technology (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Human Pose and Action Recognition (2 papers). Sihui Luo collaborates with scholars based in China, United States and Singapore. Sihui Luo's co-authors include Hanqing Zhu, A. Q. Liu, Xianshu Luo, Bo Wang, Xudong Jiang, Xiaohong Zhou, L. C. Kwek, Limin Xiao, Mile Gu and Hui Zhang and has published in prestigious journals such as Nature Communications, Journal of Molecular Liquids and IEEE Transactions on Systems Man and Cybernetics Systems.

In The Last Decade

Sihui Luo

14 papers receiving 353 citations

Hit Papers

Space-efficient optical computing with an integrated chip... 2022 2026 2023 2024 2022 50 100 150 200

Peers

Sihui Luo
Rahmat Mulyawan Indonesia
Qunsong Zeng Hong Kong
Wenjie Li China
Zhongzhi Yu United States
Qing Lu China
Zijie Ji China
Sihui Luo
Citations per year, relative to Sihui Luo Sihui Luo (= 1×) peers Bocheng Liu

Countries citing papers authored by Sihui Luo

Since Specialization
Citations

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

Fields of papers citing papers by Sihui Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sihui Luo

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

All Works

17 of 17 papers shown
2.
Luo, Sihui, et al.. (2024). MCT-VHD: Multi-modal contrastive transformer for video highlight detection. Journal of Visual Communication and Image Representation. 101. 104162–104162. 2 indexed citations
3.
Luo, Sihui, et al.. (2024). Mobile-YOLO-SDD: A Lightweight YOLO for Real-time Steel Defect Detection. Procedia CIRP. 129. 228–233. 2 indexed citations
5.
Luo, Sihui, et al.. (2024). Improving Domain Generalization on Gaze Estimation via Branch-Out Auxiliary Regularization. IEEE Signal Processing Letters. 32. 276–280.
6.
Luo, Sihui, et al.. (2024). Gaze-Swin: Enhancing Gaze Estimation with a Hybrid CNN-Transformer Network and Dropkey Mechanism. Electronics. 13(2). 328–328. 7 indexed citations
8.
Luo, Sihui, Gongfan Fang, & Mingli Song. (2023). Deep semantic image compression via cooperative network pruning. Journal of Visual Communication and Image Representation. 95. 103897–103897. 3 indexed citations
9.
Luo, Sihui, et al.. (2023). Feature Differentiation Reconstruction Network for Weakly-Supervised Video Anomaly Detection. IEEE Signal Processing Letters. 30. 1462–1466. 4 indexed citations
10.
Zhu, Hanqing, Jun Zou, Hui Zhang, et al.. (2022). Space-efficient optical computing with an integrated chip diffractive neural network. Nature Communications. 13(1). 1044–1044. 224 indexed citations breakdown →
11.
Zhang, Wenqiao, Haochen Shi, Jiannan Guo, et al.. (2022). MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 3335–3343. 18 indexed citations
12.
Liao, Guangzhi, et al.. (2022). Multi-Level Reservoir Identification with Logs Based on Machine Learning. 1 indexed citations
13.
Shen, Chengchao, et al.. (2021). Progressive Network Grafting for Few-Shot Knowledge Distillation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(3). 2541–2549. 35 indexed citations
14.
Luo, Sihui, Xinchao Wang, Gongfan Fang, et al.. (2019). Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. 3087–3093. 19 indexed citations
15.
Chen, Gang, et al.. (2019). Real-time intelligent big data processing: technology, platform, and applications. Science China Information Sciences. 62(8). 35 indexed citations
16.
Luo, Sihui, et al.. (2018). DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification. 1653–1657. 7 indexed citations
17.
Zhang, Shiwei, Changxin Gao, Feifei Chen, Sihui Luo, & Nong Sang. (2016). Group Sparse-Based Mid-Level Representation for Action Recognition. IEEE Transactions on Systems Man and Cybernetics Systems. 47(4). 660–672. 18 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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