Yanxin Ji

19 total papers · 642 total citations
14 papers, 487 citations indexed

About

Yanxin Ji is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Yanxin Ji has authored 14 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 5 papers in Materials Chemistry and 4 papers in Biomedical Engineering. Recurrent topics in Yanxin Ji's work include Graphene research and applications (4 papers), 2D Materials and Applications (2 papers) and Nanowire Synthesis and Applications (2 papers). Yanxin Ji is often cited by papers focused on Graphene research and applications (4 papers), 2D Materials and Applications (2 papers) and Nanowire Synthesis and Applications (2 papers). Yanxin Ji collaborates with scholars based in China, United States and Saudi Arabia. Yanxin Ji's co-authors include Brian Calderon, Gregory D. Fuchs, Nicholas R. Jungwirth, Michael G. Spencer, Michael E. Flatté, Jeonghyun Hwang, Hussain Alsalman, Yimo Han, Paul Cueva and David A. Muller and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nano Letters.

In The Last Decade

Yanxin Ji

13 papers receiving 476 citations

Author Peers

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

Author Last Decade Papers Cites
Yanxin Ji 350 128 120 118 39 14 487
Yonghong Lin 289 0.8× 294 2.3× 128 1.1× 137 1.2× 67 1.7× 12 491
Niannian Yu 373 1.1× 279 2.2× 39 0.3× 61 0.5× 18 0.5× 29 492
Shujing Jia 333 1.0× 426 3.3× 73 0.6× 53 0.4× 92 2.4× 29 535
J. P. Baukus 193 0.6× 336 2.6× 36 0.3× 169 1.4× 16 0.4× 12 489
Ninette Stürzl 421 1.2× 152 1.2× 142 1.2× 109 0.9× 8 0.2× 15 489
Fabian R. Geisenhof 233 0.7× 213 1.7× 70 0.6× 194 1.6× 28 0.7× 13 431
Y. A. Kryukov 425 1.2× 447 3.5× 60 0.5× 52 0.4× 13 0.3× 11 544
Felix Winterer 204 0.6× 223 1.7× 105 0.9× 209 1.8× 34 0.9× 16 469
Yuekun Yang 201 0.6× 283 2.2× 118 1.0× 49 0.4× 20 0.5× 21 429
Etienne Puyoo 362 1.0× 236 1.8× 109 0.9× 51 0.4× 9 0.2× 23 500

Countries citing papers authored by Yanxin Ji

Since Specialization
Citations

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

Fields of papers citing papers by Yanxin Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanxin Ji

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