Ruoxin Sang

1.1k total citations
2 papers, 21 citations indexed

About

Ruoxin Sang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Ruoxin Sang has authored 2 papers receiving a total of 21 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Human-Computer Interaction. Recurrent topics in Ruoxin Sang's work include Face recognition and analysis (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Advanced Neural Network Applications (1 paper). Ruoxin Sang is often cited by papers focused on Face recognition and analysis (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Advanced Neural Network Applications (1 paper). Ruoxin Sang collaborates with scholars based in United States and Hong Kong. Ruoxin Sang's co-authors include Bradley Green, Xuhui Jia, Yandong Li, Boqing Gong, Yukun Zhu, Liqiang Wang and Kenneth K. Wong and has published in prestigious journals such as The HKU Scholars Hub (University of Hong Kong).

In The Last Decade

Ruoxin Sang

2 papers receiving 20 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruoxin Sang United States	2	16	12	3	2	2	2	21
Leonid Kostrykin Germany	3	12 0.8×	12 1.0×	4 1.3×		2 1.0×	3	19
Y. C. Zhu China	2	21 1.3×	13 1.1×	3 1.0×		2 1.0×	5	36
Jay Patravali United Kingdom	2	13 0.8×	19 1.6×	2 0.7×		3 1.5×	4	21
Shahaf E. Finder Israel	2	19 1.2×	13 1.1×	2 0.7×		1 0.5×	3	35
Tomasz Szandała Poland	4	21 1.3×	7 0.6×	2 0.7×	1 0.5×	3 1.5×	9	35
Petro Liashchynskyi Ukraine	3	9 0.6×	10 0.8×	2 0.7×		3 1.5×	6	23
Flood Sung United Kingdom	2	20 1.3×	13 1.1×	3 1.0×			3	23
Pranav Shyam Switzerland	2	19 1.2×	13 1.1×	2 0.7×		1 0.5×	2	25
Hao Du China	3	11 0.7×	25 2.1×	2 0.7×	1 0.5×	2 1.0×	5	36
Shaked Brody Israel	3	10 0.6×	18 1.5×	2 0.7×		2 1.0×	3	25

Countries citing papers authored by Ruoxin Sang

Since Specialization

Citations

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

Fields of papers citing papers by Ruoxin Sang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoxin Sang

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

All Works

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2 of 2 papers shown

1.

Li, Yandong, Xuhui Jia, Ruoxin Sang, et al.. (2021). Ranking Neural Checkpoints. 2662–2672. 20 indexed citations

2.

Sang, Ruoxin, et al.. (2013). A hand shape recognizer from simple sketches. The HKU Scholars Hub (University of Hong Kong). 130–135. 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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