Ruotian Luo

638 total citations
6 papers, 274 citations indexed

About

Ruotian Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Ruotian Luo has authored 6 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Ocean Engineering. Recurrent topics in Ruotian Luo's work include Advanced Image and Video Retrieval Techniques (5 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Ruotian Luo is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Ruotian Luo collaborates with scholars based in United States, China and South Korea. Ruotian Luo's co-authors include Gregory Shakhnarovich, Scott Cohen, Brian Price, Michael Maire, Haochen Wang, Greg Shakhnarovich, Wei Zhao, Bohyung Han, Linjie Yang and Yu Qiao and has published in prestigious journals such as Multimedia Tools and Applications and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Ruotian Luo

6 papers receiving 266 citations

Peers

Ruotian Luo
Ruotian Luo
Citations per year, relative to Ruotian Luo Ruotian Luo (= 1×) peers Shaoning Xiao

Countries citing papers authored by Ruotian Luo

Since Specialization
Citations

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

Fields of papers citing papers by Ruotian Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruotian Luo

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

All Works

6 of 6 papers shown
1.
Wang, Haochen, Ruotian Luo, Michael Maire, & Greg Shakhnarovich. (2020). Pixel Consensus Voting for Panoptic Segmentation. 9461–9470. 19 indexed citations
2.
Luo, Ruotian, Ning Zhang, Bohyung Han, & Linjie Yang. (2020). Context-Aware Zero-Shot Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 11709–11716. 17 indexed citations
3.
Luo, Ruotian, Gregory Shakhnarovich, Scott Cohen, & Brian Price. (2018). Discriminability Objective for Training Descriptive Captions. 6964–6974. 114 indexed citations
4.
Zhao, Wei, Benyou Wang, Jianbo Ye, et al.. (2018). A Multi-task Learning Approach for Image Captioning. 1205–1211. 29 indexed citations
5.
Luo, Ruotian & Gregory Shakhnarovich. (2017). Comprehension-Guided Referring Expressions. 3125–3134. 91 indexed citations
6.
Zhao, Yanna, Xu Zhao, Ruotian Luo, & Yuncai Liu. (2015). Person Re-identification by encoding free energy feature maps. Multimedia Tools and Applications. 75(8). 4795–4813. 4 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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