Ziyun Li

92 total papers · 990 total citations
55 papers, 720 citations indexed

About

Ziyun Li is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ziyun Li has authored 55 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 16 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Ziyun Li's work include Advanced Memory and Neural Computing (14 papers), CCD and CMOS Imaging Sensors (11 papers) and Advanced Vision and Imaging (8 papers). Ziyun Li is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), CCD and CMOS Imaging Sensors (11 papers) and Advanced Vision and Imaging (8 papers). Ziyun Li collaborates with scholars based in United States, China and Taiwan. Ziyun Li's co-authors include David Blaauw, Quantong Che, Hun-Seok Kim, Dennis Sylvester, Lei Liu, Jingcheng Wang, Yafei Feng, Qizhu Qian, Yin Zhu and Yangyang Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Colloid and Interface Science.

In The Last Decade

Ziyun Li

51 papers receiving 711 citations

Author Peers

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

Author						Papers	Cites
Ziyun Li	456	161	149	148	79	55	720
So Young Park	340 0.7×	168 1.0×	73 0.5×	209 1.4×	233 2.9×	42	860
Jingtao Li	287 0.6×	96 0.6×	58 0.4×	55 0.4×	161 2.0×	56	689
Zhang Guo	411 0.9×	108 0.7×	50 0.3×	36 0.2×	99 1.3×	57	651
Ting-Wei Chang	563 1.2×	192 1.2×	44 0.3×	40 0.3×	101 1.3×	40	826
Dong Ma	439 1.0×	125 0.8×	85 0.6×	31 0.2×	70 0.9×	67	712
Qihui Zhang	532 1.2×	282 1.8×	36 0.2×	73 0.5×	77 1.0×	60	889
Richard Binns	373 0.8×	164 1.0×	25 0.2×	88 0.6×	18 0.2×	75	710
Fangxin Liu	341 0.7×	63 0.4×	99 0.7×	83 0.6×	266 3.4×	76	735
Ziqiang Liu	254 0.6×	65 0.4×	110 0.7×	30 0.2×	30 0.4×	61	706
Lingzhi Luo	362 0.8×	115 0.7×	85 0.6×	34 0.2×	255 3.2×	40	772

Countries citing papers authored by Ziyun Li

Since Specialization

Citations

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

Fields of papers citing papers by Ziyun Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziyun Li

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