Hyang‐Tag Lim

107 total papers · 1.1k total citations
56 papers, 714 citations indexed

About

Hyang‐Tag Lim is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Hyang‐Tag Lim has authored 56 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 48 papers in Atomic and Molecular Physics, and Optics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Hyang‐Tag Lim's work include Quantum Information and Cryptography (48 papers), Quantum Mechanics and Applications (27 papers) and Quantum Computing Algorithms and Architecture (22 papers). Hyang‐Tag Lim is often cited by papers focused on Quantum Information and Cryptography (48 papers), Quantum Mechanics and Applications (27 papers) and Quantum Computing Algorithms and Architecture (22 papers). Hyang‐Tag Lim collaborates with scholars based in South Korea, Germany and Denmark. Hyang‐Tag Lim's co-authors include Yoon-Ho Kim, Young-Sik Ra, Yong‐Su Kim, Sang-Wook Han, Young‐Wook Cho, Emre Togan, Ataç Îmamoğlu, Andreas Buchleitner, Malte C. Tichy and Florian Mintert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Hyang‐Tag Lim

53 papers receiving 694 citations

Author Peers

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

Author						Papers	Cites
Hyang‐Tag Lim	569	535	116	50	47	56	714
Ben Q. Baragiola	613 1.1×	648 1.2×	108 0.9×	16 0.3×	40 0.9×	33	780
Jake Iles-Smith	635 1.1×	389 0.7×	218 1.9×	60 1.2×	79 1.7×	29	745
Tomás Ramos	752 1.3×	508 0.9×	193 1.7×	37 0.7×	13 0.3×	22	815
Rui‐Bo Jin	505 0.9×	327 0.6×	344 3.0×	62 1.2×	34 0.7×	71	760
Géraldine Haack	687 1.2×	458 0.9×	147 1.3×	38 0.8×	82 1.7×	35	826
Magdalena Stobińska	613 1.1×	473 0.9×	67 0.6×	31 0.6×	14 0.3×	37	670
Gonzalo Carvacho	607 1.1×	570 1.1×	149 1.3×	72 1.4×	23 0.5×	45	765
Ephraim Shahmoon	681 1.2×	378 0.7×	99 0.9×	92 1.8×	38 0.8×	28	760
Ilaria Gianani	498 0.9×	457 0.9×	64 0.6×	65 1.3×	19 0.4×	51	659
Loïc Henriet	542 1.0×	359 0.7×	44 0.4×	8 0.2×	32 0.7×	27	665

Countries citing papers authored by Hyang‐Tag Lim

Since Specialization

Citations

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

Fields of papers citing papers by Hyang‐Tag Lim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyang‐Tag Lim. 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 Hyang‐Tag Lim. The network helps show where Hyang‐Tag Lim may publish in the future.

Co-authorship network of co-authors of Hyang‐Tag Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Hyang‐Tag Lim. A scholar is included among the top collaborators of Hyang‐Tag Lim 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 Hyang‐Tag Lim. Hyang‐Tag Lim 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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