Yating Liu

82 total papers · 502 total citations
36 papers, 297 citations indexed

About

Yating Liu is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Yating Liu has authored 36 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 5 papers in Automotive Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Yating Liu's work include Video Surveillance and Tracking Methods (9 papers), Autonomous Vehicle Technology and Safety (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Yating Liu is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Autonomous Vehicle Technology and Safety (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Yating Liu collaborates with scholars based in China, United States and Ghana. Yating Liu's co-authors include Fei‐Yue Wang, Kunfeng Wang, Lijun Wu, Hegui Zhu, Xuesong Li, Azita Manouchehri, Xiaoyan Su, Yue Lu, Wenwen Zhang and Tianxiang Bai and has published in prestigious journals such as Nature Communications, Journal of Hazardous Materials and Food Hydrocolloids.

In The Last Decade

Yating Liu

33 papers receiving 289 citations

Author Peers

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

Author						Papers	Cites
Yating Liu	139	47	27	27	26	36	297
Yan Li	66 0.5×	32 0.7×	13 0.5×	6 0.2×	6 0.2×	48	308
Xiaoxiao Liu	63 0.5×	40 0.9×	3 0.1×	20 0.7×	2 0.1×	44	348
Siddhartha Bhattacharyya	41 0.3×	92 2.0×	4 0.1×	36 1.3×	11 0.4×	48	263
José Mira	23 0.2×	54 1.1×	4 0.1×	3 0.1×	19 0.7×	29	242
Marco Di Benedetto	166 1.2×	18 0.4×	8 0.3×	4 0.1×	7 0.3×	21	301
Xu Chen	103 0.7×	112 2.4×	2 0.1×	4 0.1×	16 0.6×	41	347
Wei Zhao	60 0.4×	42 0.9×		19 0.7×	9 0.3×	35	267
Imrus Salehin	45 0.3×	86 1.8×	2 0.1×	9 0.3×	4 0.2×	24	340
Paul Navrátil	174 1.3×	35 0.7×	3 0.1×	17 0.6×	10 0.4×	22	365
Durmuş Özdemir	51 0.4×	96 2.0×		17 0.6×	7 0.3×	39	305

Countries citing papers authored by Yating Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yating Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yating Liu

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