Yong Shim

61 total papers · 830 total citations
35 papers, 499 citations indexed

About

Yong Shim is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Yong Shim has authored 35 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 10 papers in Artificial Intelligence and 8 papers in Biomedical Engineering. Recurrent topics in Yong Shim's work include Advanced Memory and Neural Computing (15 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Neural Networks and Reservoir Computing (6 papers). Yong Shim is often cited by papers focused on Advanced Memory and Neural Computing (15 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Neural Networks and Reservoir Computing (6 papers). Yong Shim collaborates with scholars based in South Korea, United States and Singapore. Yong Shim's co-authors include Kaushik Roy, Abhronil Sengupta, Deliang Fan, Byeong‐Kwon Ju, Young Wook Park, Cheol Hwee Park, Akhilesh Jaiswal, Anand Raghunathan, Shuhan Chen and Kwang‐Hyun Baek and has published in prestigious journals such as Journal of Applied Physics, Advanced Functional Materials and Scientific Reports.

In The Last Decade

Yong Shim

32 papers receiving 482 citations

Author Peers

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

Author						Papers	Cites
Yong Shim	417	164	115	79	41	35	499
Jiwei Li	340 0.8×	191 1.2×	33 0.3×	82 1.0×	45 1.1×	39	586
Tifenn Hirtzlin	443 1.1×	213 1.3×	198 1.7×	35 0.4×	31 0.8×	23	546
Shin-Hee Han	406 1.0×	87 0.5×	97 0.8×	50 0.6×	89 2.2×	20	572
Yong-Min Ju	440 1.1×	87 0.5×	93 0.8×	48 0.6×	53 1.3×	10	495
Takahide Oya	275 0.7×	92 0.6×	137 1.2×	163 2.1×	83 2.0×	68	569
Advait Madhavan	379 0.9×	143 0.9×	85 0.7×	23 0.3×	17 0.4×	37	477
Yoon-Jong Song	486 1.2×	90 0.5×	111 1.0×	43 0.5×	178 4.3×	13	573
Xiaobin Wang	425 1.0×	54 0.3×	90 0.8×	46 0.6×	56 1.4×	25	573
Tao Chen	341 0.8×	157 1.0×	30 0.3×	60 0.8×	152 3.7×	30	543
Tae‐Hwan Kim	217 0.5×	88 0.5×	50 0.4×	18 0.2×	41 1.0×	39	496

Countries citing papers authored by Yong Shim

Since Specialization

Citations

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

Fields of papers citing papers by Yong Shim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Shim

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