Jian Yan

78 total papers · 1.8k total citations
50 papers, 1.6k citations indexed

About

Jian Yan is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jian Yan has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 18 papers in Electrical and Electronic Engineering and 17 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jian Yan's work include Topological Materials and Phenomena (11 papers), ZnO doping and properties (9 papers) and 2D Materials and Applications (9 papers). Jian Yan is often cited by papers focused on Topological Materials and Phenomena (11 papers), ZnO doping and properties (9 papers) and 2D Materials and Applications (9 papers). Jian Yan collaborates with scholars based in China, Japan and Germany. Jian Yan's co-authors include Xiaosheng Fang, Lide Zhang, Linfeng Hu, Hongjun Xiang, Xin-Gao Gong, Meiyong Liao, Yuping Sun, Pooi See Lee, Hui Liu and Takashi Sekiguchi and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nature Communications.

In The Last Decade

Jian Yan

48 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Jian Yan 1.1k 756 526 326 289 50 1.6k
Johannes Frantti 1.3k 1.2× 734 1.0× 596 1.1× 424 1.3× 328 1.1× 60 1.8k
Yi Lin 1.0k 0.9× 748 1.0× 495 0.9× 477 1.5× 300 1.0× 43 1.6k
Jong Seok Jeong 1.4k 1.2× 740 1.0× 463 0.9× 267 0.8× 335 1.2× 59 1.8k
E. Piscopiello 918 0.8× 566 0.7× 333 0.6× 329 1.0× 341 1.2× 61 1.5k
Michael Snure 1.6k 1.5× 1.1k 1.4× 426 0.8× 274 0.8× 297 1.0× 85 2.1k
Dake Wang 760 0.7× 741 1.0× 364 0.7× 196 0.6× 237 0.8× 44 1.3k
A. Rahm 1.8k 1.6× 1.3k 1.7× 750 1.4× 366 1.1× 368 1.3× 66 2.3k
Qingkai Qian 1.3k 1.2× 1.2k 1.5× 498 0.9× 205 0.6× 236 0.8× 61 1.9k
Kirk H. Bevan 921 0.8× 871 1.2× 369 0.7× 245 0.8× 259 0.9× 73 1.6k
Ya‐Qing Bie 1.7k 1.5× 1.0k 1.4× 540 1.0× 496 1.5× 418 1.4× 39 2.1k

Countries citing papers authored by Jian Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jian Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Yan

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