Liyuan Pan

59 total papers · 753 total citations
22 papers, 227 citations indexed

About

Liyuan Pan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Liyuan Pan has authored 22 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 5 papers in Artificial Intelligence. Recurrent topics in Liyuan Pan's work include Advanced Image Processing Techniques (8 papers), Image Processing Techniques and Applications (6 papers) and Advanced Memory and Neural Computing (4 papers). Liyuan Pan is often cited by papers focused on Advanced Image Processing Techniques (8 papers), Image Processing Techniques and Applications (6 papers) and Advanced Memory and Neural Computing (4 papers). Liyuan Pan collaborates with scholars based in China, Australia and United Kingdom. Liyuan Pan's co-authors include Miaomiao Liu, Richard Hartley, Yuchao Dai, Fatih Porikli, Hongdong Li, Hongguang Zhang, Liu Liu, Yan Yang, Wei Liang and Hao Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Liyuan Pan

19 papers receiving 221 citations

Author Peers

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

Author						Papers	Cites
Liyuan Pan	156	92	47	20	14	22	227
In Kyu Park	246 1.6×	56 0.6×	26 0.6×	42 2.1×	10 0.7×	27	304
Binghua Su	197 1.3×	68 0.7×	46 1.0×	13 0.7×	23 1.6×	37	308
Agustín Salgado	198 1.3×	88 1.0×	16 0.3×	34 1.7×	12 0.9×	20	268
Franck Luthon	144 0.9×	85 0.9×	61 1.3×	14 0.7×	31 2.2×	28	306
Miguel Arias-Estrada	125 0.8×	37 0.4×	86 1.8×	46 2.3×	17 1.2×	40	207
Chi-Hao Wu	178 1.1×	30 0.3×	48 1.0×	11 0.6×	17 1.2×	18	279
Xingran Liao	222 1.4×	142 1.5×	14 0.3×	16 0.8×	18 1.3×	14	294
Chengshan Han	63 0.4×	62 0.7×	64 1.4×	38 1.9×	16 1.1×	33	209
Jun Jiang	143 0.9×	88 1.0×	22 0.5×	50 2.5×	18 1.3×	14	294
Feiyang Wu	146 0.9×	115 1.3×	75 1.6×	12 0.6×	57 4.1×	17	330

Countries citing papers authored by Liyuan Pan

Since Specialization

Citations

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

Fields of papers citing papers by Liyuan Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyuan Pan

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