Xin Min

24 total papers · 423 total citations
16 papers, 284 citations indexed

About

Xin Min is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Biomedical Engineering. According to data from OpenAlex, Xin Min has authored 16 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Human-Computer Interaction and 4 papers in Biomedical Engineering. Recurrent topics in Xin Min's work include Augmented Reality Applications (6 papers), Interactive and Immersive Displays (6 papers) and Human Pose and Action Recognition (5 papers). Xin Min is often cited by papers focused on Augmented Reality Applications (6 papers), Interactive and Immersive Displays (6 papers) and Human Pose and Action Recognition (5 papers). Xin Min collaborates with scholars based in China, Canada and Hong Kong. Xin Min's co-authors include Ehud Sharlin, Shouqian Sun, Mário Costa Sousa, Wenqian Lin, Chao Li, Lin Wang, Guanrong Chen, James E. Young, Xianfu Zhang and Wenqiao Zhang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Visualization and Computer Graphics and Applied Sciences.

In The Last Decade

Xin Min

14 papers receiving 273 citations

Author Peers

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

Author						Papers	Cites
Xin Min	184	113	80	46	44	16	284
Jonathan Gips	120 0.7×	62 0.5×	59 0.7×	34 0.7×	24 0.5×	12	290
J. Bao	152 0.8×	48 0.4×	50 0.6×	29 0.6×	48 1.1×	34	305
Mathew Laibowitz	94 0.5×	64 0.6×	32 0.4×	67 1.5×	9 0.2×	13	237
Christopher Conly	231 1.3×	87 0.8×	104 1.3×	29 0.6×	31 0.7×	14	302
Benoit Landry	73 0.4×	77 0.7×	15 0.2×	13 0.3×	57 1.3×	14	308
Wenqing Zheng	146 0.8×	49 0.4×	46 0.6×	36 0.8×	82 1.9×	23	320
Colin Ponce	186 1.0×	54 0.5×	55 0.7×	36 0.8×	74 1.7×	7	260
Chris Atkeson	116 0.6×	40 0.4×	23 0.3×	27 0.6×	56 1.3×	9	272
Wang Yuan	92 0.5×	23 0.2×	45 0.6×	50 1.1×	40 0.9×	26	308
Bernd Michaelis	167 0.9×	132 1.2×	30 0.4×	28 0.6×	42 1.0×	18	290

Countries citing papers authored by Xin Min

Since Specialization

Citations

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

Fields of papers citing papers by Xin Min

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Min

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Min. A scholar is included among the top collaborators of Xin Min 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 Xin Min. Xin Min 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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