Jerry Liu

72 total papers · 783 total citations
40 papers, 545 citations indexed

About

Jerry Liu is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Jerry Liu has authored 40 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 6 papers in Information Systems and 5 papers in Artificial Intelligence. Recurrent topics in Jerry Liu's work include Advanced Image and Video Retrieval Techniques (10 papers), Video Analysis and Summarization (9 papers) and Image Retrieval and Classification Techniques (9 papers). Jerry Liu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Video Analysis and Summarization (9 papers) and Image Retrieval and Classification Techniques (9 papers). Jerry Liu collaborates with scholars based in United States, China and Canada. Jerry Liu's co-authors include Raquel Urtasun, Shenlong Wang, Kelvin Wong, Fisher Yu, Thomas Funkhouser, Jian Fan, James Chow, William Li, Peter Y. P. Wat and Shanchan Wu and has published in prestigious journals such as Macromolecules, Genetics and Journal of Materials Chemistry A.

In The Last Decade

Jerry Liu

37 papers receiving 518 citations

Author Peers

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

Author						Papers	Cites
Jerry Liu	171	122	110	83	62	40	545
Aihua Mao	261 1.5×	81 0.7×	37 0.3×	2 0.0×	45 0.7×	53	580
Junho Cho	31 0.2×	41 0.3×	8 0.1×	98 1.2×	2 0.0×	38	487
Yanci Zhang	120 0.7×	115 0.9×	137 1.2×		7 0.1×	63	451
Sung‐Il Chien	267 1.6×	17 0.1×	7 0.1×	45 0.5×	12 0.2×	77	554
Junho Kim	335 2.0×	176 1.4×	200 1.8×		5 0.1×	52	615
V. Cingoski	50 0.3×	87 0.7×	61 0.6×		10 0.2×	52	455
Han Chen	29 0.2×	115 0.9×	8 0.1×	24 0.3×	4 0.1×	36	533
Zhiwen Shao	338 2.0×	38 0.3×	24 0.2×		7 0.1×	52	507
Yongqiang Chen	29 0.2×	102 0.8×	46 0.4×		18 0.3×	84	501
Mike Rogers	261 1.5×	92 0.8×	41 0.4×	1 0.0×	11 0.2×	31	615

Countries citing papers authored by Jerry Liu

Since Specialization

Citations

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

Fields of papers citing papers by Jerry Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerry Liu

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