Ji Yeong Lee

41 total papers · 2.2k total citations
33 papers, 1.8k citations indexed

About

Ji Yeong Lee is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Ji Yeong Lee has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 13 papers in Electrical and Electronic Engineering and 10 papers in Biomedical Engineering. Recurrent topics in Ji Yeong Lee's work include Conducting polymers and applications (7 papers), Advanced Sensor and Energy Harvesting Materials (5 papers) and Carbon Nanotubes in Composites (5 papers). Ji Yeong Lee is often cited by papers focused on Conducting polymers and applications (7 papers), Advanced Sensor and Energy Harvesting Materials (5 papers) and Carbon Nanotubes in Composites (5 papers). Ji Yeong Lee collaborates with scholars based in South Korea, United States and Germany. Ji Yeong Lee's co-authors include C.Y. Kim, Young Hee Lee, Kay-Hyeok An, D.Y. Kim, Kui Liang, Hyungseok Lee, Jino Im, Chongjian Zhou, Bangzhi Ge and In Jae Chung and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Nature Materials.

In The Last Decade

Ji Yeong Lee

32 papers receiving 1.8k citations

Hit Papers

Polycrystalline SnSe with... 2021 2026 2022 2024 2021 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Ji Yeong Lee 955 934 554 443 321 33 1.8k
Ujwala Ail 620 0.6× 826 0.9× 791 1.4× 271 0.6× 388 1.2× 32 1.4k
Yufen Guo 1.0k 1.1× 726 0.8× 218 0.4× 332 0.7× 547 1.7× 26 1.6k
Pejman Hojati‐Talemi 726 0.8× 866 0.9× 1.2k 2.1× 297 0.7× 693 2.2× 35 1.9k
Minsu Liu 711 0.7× 1.1k 1.2× 707 1.3× 375 0.8× 583 1.8× 39 1.9k
Liyong Niu 1000 1.0× 974 1.0× 602 1.1× 450 1.0× 793 2.5× 40 2.3k
E. Fatás 558 0.6× 990 1.1× 478 0.9× 182 0.4× 235 0.7× 51 1.5k
Noe T. Alvarez 844 0.9× 868 0.9× 472 0.9× 737 1.7× 666 2.1× 84 2.0k
Robert Brooke 447 0.5× 738 0.8× 1.0k 1.9× 335 0.8× 732 2.3× 46 1.6k
Yang Cao 1.0k 1.1× 681 0.7× 277 0.5× 227 0.5× 530 1.7× 50 1.6k
Devesh K. Pathak 590 0.6× 968 1.0× 950 1.7× 204 0.5× 359 1.1× 71 1.7k

Countries citing papers authored by Ji Yeong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ji Yeong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Yeong Lee

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