Yu Xiang

106 total papers · 3.1k total citations
57 papers, 1.7k citations indexed

About

Yu Xiang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Yu Xiang has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 15 papers in Signal Processing and 15 papers in Artificial Intelligence. Recurrent topics in Yu Xiang's work include Face recognition and analysis (14 papers), Face and Expression Recognition (13 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Yu Xiang is often cited by papers focused on Face recognition and analysis (14 papers), Face and Expression Recognition (13 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Yu Xiang collaborates with scholars based in United States, China and Japan. Yu Xiang's co-authors include Manmohan Chandraker, Kihyuk Sohn, Xi Yin, Xiaoming Liu, Guobin Chen, Tony Xiao Han, Wongun Choi, Dimitris Metaxas, Junzhou Huang and Shaoting Zhang and has published in prestigious journals such as The Journal of Chemical Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Signal Processing.

In The Last Decade

Yu Xiang

54 papers receiving 1.6k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yu Xiang	1.3k	490	337	82	77	57	1.7k
Haoxiang Li	1.1k 0.9×	282 0.6×	278 0.8×	65 0.8×	62 0.8×	45	1.6k
Jonathan Brandt	1.9k 1.5×	598 1.2×	340 1.0×	77 0.9×	111 1.4×	32	2.4k
Shiming Ge	1.4k 1.1×	474 1.0×	239 0.7×	112 1.4×	114 1.5×	86	1.8k
Yitong Wang	1.7k 1.3×	669 1.4×	646 1.9×	56 0.7×	126 1.6×	47	2.3k
Guosheng Hu	1.1k 0.9×	377 0.8×	294 0.9×	53 0.6×	88 1.1×	70	1.4k
Junlin Hu	1.6k 1.3×	445 0.9×	448 1.3×	53 0.6×	115 1.5×	52	1.9k
William Christmas	1.3k 1.0×	301 0.6×	533 1.6×	91 1.1×	83 1.1×	78	1.6k
Jimin Xiao	1.5k 1.2×	607 1.2×	284 0.8×	85 1.0×	149 1.9×	109	1.9k
Vishnu Naresh Boddeti	818 0.7×	623 1.3×	236 0.7×	102 1.2×	84 1.1×	58	1.4k
Khoa Luu	1.1k 0.9×	406 0.8×	258 0.8×	53 0.6×	63 0.8×	93	1.7k

Countries citing papers authored by Yu Xiang

Since Specialization

Citations

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

Fields of papers citing papers by Yu Xiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Xiang

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

All Works

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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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