Xinshi Li

37 total papers · 948 total citations
25 papers, 787 citations indexed

About

Xinshi Li is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Biomedical Engineering. According to data from OpenAlex, Xinshi Li has authored 25 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 8 papers in Electronic, Optical and Magnetic Materials and 5 papers in Biomedical Engineering. Recurrent topics in Xinshi Li's work include Gold and Silver Nanoparticles Synthesis and Applications (7 papers), Advanced Nanomaterials in Catalysis (4 papers) and Image Retrieval and Classification Techniques (3 papers). Xinshi Li is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (7 papers), Advanced Nanomaterials in Catalysis (4 papers) and Image Retrieval and Classification Techniques (3 papers). Xinshi Li collaborates with scholars based in China and United States. Xinshi Li's co-authors include Hua Bai, Guangcheng Xi, Jing‐yao Liu, Wencai Yi, Qiang Ma, Wentao Li, Qing Zhang, Jing Han, Junfang Li and Junfeng Zhai and has published in prestigious journals such as Nature Communications, Biomaterials and Analytical Chemistry.

In The Last Decade

Xinshi Li

24 papers receiving 778 citations

Author Peers

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

Author						Papers	Cites
Xinshi Li	414	309	226	165	159	25	787
Natalia L. Pacioni	433 1.0×	221 0.7×	249 1.1×	112 0.7×	64 0.4×	24	883
Igor Osorio‐Román	392 0.9×	169 0.5×	166 0.7×	178 1.1×	59 0.4×	36	852
Minghui Wu	272 0.7×	133 0.4×	224 1.0×	190 1.2×	199 1.3×	31	688
Jingjing Wu	332 0.8×	169 0.5×	149 0.7×	251 1.5×	126 0.8×	51	859
Wan-Chin Yu	356 0.9×	105 0.3×	151 0.7×	383 2.3×	217 1.4×	46	880
Rucha Desai	401 1.0×	170 0.6×	194 0.9×	120 0.7×	155 1.0×	35	672
Miguel Urbiztondo	313 0.8×	158 0.5×	302 1.3×	338 2.0×	74 0.5×	35	839
Zhenjiang Li	357 0.9×	172 0.6×	100 0.4×	287 1.7×	92 0.6×	35	783
Mahsa Mohammadtaheri	378 0.9×	218 0.7×	248 1.1×	213 1.3×	85 0.5×	15	882
Rajni Bala	376 0.9×	73 0.2×	242 1.1×	235 1.4×	132 0.8×	27	827

Countries citing papers authored by Xinshi Li

Since Specialization

Citations

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

Fields of papers citing papers by Xinshi Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinshi Li

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