Yuchi Liu

38 total papers · 433 total citations
20 papers, 262 citations indexed

About

Yuchi Liu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction. According to data from OpenAlex, Yuchi Liu has authored 20 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 4 papers in Human-Computer Interaction. Recurrent topics in Yuchi Liu's work include Hand Gesture Recognition Systems (3 papers), Digital Media Forensic Detection (3 papers) and Chaos-based Image/Signal Encryption (3 papers). Yuchi Liu is often cited by papers focused on Hand Gesture Recognition Systems (3 papers), Digital Media Forensic Detection (3 papers) and Chaos-based Image/Signal Encryption (3 papers). Yuchi Liu collaborates with scholars based in China, Taiwan and Australia. Yuchi Liu's co-authors include Liang Zheng, Tom Gedeon, Heming Du, Francesco Fioranelli, Haobo Li, Xiangpeng Liang, Hsien-Chu Wu, Hadi Heidari, Shyr-Shen Yu and Rami Ghannam and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Multimedia Tools and Applications and Lecture notes in computer science.

In The Last Decade

Yuchi Liu

19 papers receiving 251 citations

Author Peers

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

Author						Papers	Cites
Yuchi Liu	138	76	61	57	45	20	262
Yongbo Wu	189 1.4×	138 1.8×	41 0.7×	34 0.6×	26 0.6×	31	326
In-Ho Choi	140 1.0×	85 1.1×	23 0.4×	20 0.4×	32 0.7×	23	321
Jinhyeok Jang	185 1.3×	155 2.0×	23 0.4×	56 1.0×	31 0.7×	14	272
Shuhang Wu	189 1.4×	167 2.2×	18 0.3×	62 1.1×	39 0.9×	12	290
Yujie Zheng	107 0.8×	98 1.3×	36 0.6×	41 0.7×	23 0.5×	25	281
Leyuan Liu	163 1.2×	51 0.7×	42 0.7×	42 0.7×	72 1.6×	28	302
Hyuntae Jeong	131 0.9×	25 0.3×	89 1.5×	58 1.0×	20 0.4×	25	319
Chiara Pero	199 1.4×	73 1.0×	24 0.4×	51 0.9×	16 0.4×	33	315
Xinpeng Ding	214 1.6×	102 1.3×	49 0.8×	88 1.5×	17 0.4×	19	326
Séverine Dubuisson	111 0.8×	81 1.1×	29 0.5×	56 1.0×	23 0.5×	23	253

Countries citing papers authored by Yuchi Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yuchi Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuchi Liu

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