June‐Mo Yang

1.3k citations
15 papers · 1.2k · h-index 15

Impact in

    • Conducting polymers and applications
    • Transition Metal Oxide Nanomaterials
    • Perovskite Materials and Applications
    • Advanced Memory and Neural Computing
    • Chalcogenide Semiconductor Thin Films
    • Ferroelectric and Negative Capacitance Devices

Papers in

June‐Mo Yang

15 papers receiving 1.1k citations

Peers

June‐Mo Yang
Comparison fields: 5 of 26
  • Polymers and Plastics 666
  • Electrical and Electronic Engineering 1.1k
  • Materials Chemistry 387
  • Cellular and Molecular Neuroscience 107
  • Renewable Energy, Sustainability and the Environment 32
Replace Pengjie Hang with:
Pengjie Hang China
Asim Roy India
Shitan Wang China
Agustín Bou Spain
Yan Fong Ng Singapore
Na‐Jun Li China
Andrew Towers United States
Jeong‐Wan Jo South Korea
Daekyoung Yoo South Korea
Jeong‐Wan Jo South Korea
June‐Mo Yang relative to Pengjie Hang China Pengjie Hang's profile →
Citations per field
00.5×3.8×
Pengjie Hang · 1×
Citations per year

Countries citing papers authored by June‐Mo Yang

Since Specialization
Citations

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

Fields of papers citing papers by June‐Mo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by June‐Mo Yang. 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 June‐Mo Yang. The network helps show where June‐Mo Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside June‐Mo Yang, 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 June‐Mo Yang Line = papers co-authored together June‐Mo Yang links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2019203
2 2019145
3 2017144
4 2018111
5 2020104
6 201895
7 202182
8 201960
9 201952
10 202141
11 201933
12 202133
13 202223
14 201917
15 202315

About June‐Mo Yang

June‐Mo Yang is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Cellular and Molecular Neuroscience, Ecology and Infectious Diseases, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (14 papers), Advanced Memory and Neural Computing (13 papers), Conducting polymers and applications (6 papers), Transition Metal Oxide Nanomaterials (5 papers), Chalcogenide Semiconductor Thin Films (3 papers), Coral and Marine Ecosystems Studies (1 paper), Neuroscience and Neural Engineering (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Polymers and Plastics (666 citations), Electrical and Electronic Engineering (1.1k citations), Materials Chemistry (387 citations), Cellular and Molecular Neuroscience (107 citations) and Renewable Energy, Sustainability and the Environment (32 citations). June‐Mo Yang has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Nam‐Gyu Park, Soyeon Kim, Eunsuk Choi, Donghwa Lee, Jin‐Wook Lee, Yang Yang, Ja-Young Seo, Seul‐Gi Kim, Jin‐Hong Park and Jeong-Hoon Kim. Their work appears in journals such as Nanoscale, Advanced Functional Materials, Advanced Science, APL Materials and Nanoscale Horizons.

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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