Joonsuk Huh

1.8k citations
75 papers · 1.2k · h-index 21

Impact in

Papers in

    • Quantum Information and Cryptography 26
    • Quantum Computing Algorithms and Architecture 20
    • Neural Networks and Reservoir Computing 5
    • 2D Materials and Applications 13
    • MXene and MAX Phase Materials 13
    • Graphene research and applications 7

Joonsuk Huh

69 papers receiving 1.2k citations

Peers

Joonsuk Huh
Comparison fields: 5 of 86
  • Artificial Intelligence 508
  • Atomic and Molecular Physics, and Optics 484
  • Materials Chemistry 337
  • Condensed Matter Physics 80
  • Physical and Theoretical Chemistry 48
Replace Hao Tang with:
Hao Tang China
François Dubin France
Felipe Herrera Chile
Marten Richter Germany
Anoop Thomas France
Enrico Pomarico Switzerland
I. Bar‐Joseph Israel
Thibault Chervy France
Costanza Toninelli Italy
J. Hübner Germany
Joonsuk Huh relative to Hao Tang China Hao Tang's profile →
Citations per field
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Hao Tang · 1×
Citations per year

Countries citing papers authored by Joonsuk Huh

Since Specialization
Citations

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

Fields of papers citing papers by Joonsuk Huh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Joonsuk Huh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joonsuk Huh Line = papers co-authored together Joonsuk Huh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015208
2 201750
3 201948
4 201744
5 200740
6 201039
7 201238
8 202335
9 202133
10 201930
11 201527
12 201627
13 202127
14 200725
15 201625
16 201024
17 201922
18 201821
19 202121
20 201821

About Joonsuk Huh

Joonsuk Huh is a scholar working on Artificial Intelligence, Materials Chemistry, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Organic Chemistry, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (26 papers), Quantum Computing Algorithms and Architecture (20 papers), 2D Materials and Applications (13 papers), MXene and MAX Phase Materials (13 papers), Spectroscopy and Quantum Chemical Studies (8 papers), Graphene research and applications (7 papers), Neural Networks and Reservoir Computing (5 papers) and Superconductivity in MgB2 and Alloys (5 papers). The work is most often cited by research in Artificial Intelligence (508 citations), Atomic and Molecular Physics, and Optics (484 citations), Materials Chemistry (337 citations), Condensed Matter Physics (80 citations) and Physical and Theoretical Chemistry (48 citations). Joonsuk Huh has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Alán Aspuru‐Guzik, Borja Peropadre, Gian Giacomo Guerreschi, Jarrod R. McClean, Robert Berger, Nicolas P. D. Sawaya, Man‐Hong Yung, Jae‐Young Choi, Sudong Chae and Daniel K. Park. Their work appears in journals such as Scientific Reports, ACS Omega, Physical review. A, Nano Letters and The European Physical Journal A.

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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