Jinhee Bae

472 citations
12 papers · 407 · h-index 10

Impact in

    • Metal-Organic Frameworks: Synthesis and Applications
    • Covalent Organic Framework Applications
    • Catalytic Processes in Materials Science
    • Machine Learning in Materials Science

Papers in

Jinhee Bae

11 papers receiving 400 citations

Peers

Jinhee Bae
Comparison fields: 5 of 45
  • Inorganic Chemistry 308
  • Materials Chemistry 233
  • Process Chemistry and Technology 13
  • Electronic, Optical and Magnetic Materials 76
  • Renewable Energy, Sustainability and the Environment 50
Replace Dmitry Popov with:
Dmitry Popov United Kingdom
Wenhua Zhang China
Bradley Gibbons United States
Junmo Seong South Korea
Colm Healy Ireland
Junsu Ha South Korea
Matthew J. McPherson United Kingdom
Samir El‐Hankari United Kingdom
Christophe Lavenn France
João Marreiros Belgium
Jinhee Bae relative to Dmitry Popov United Kingdom Dmitry Popov's profile →
Citations per field
00.5×1.5×1.9×
Dmitry Popov · 1×
Citations per year

Countries citing papers authored by Jinhee Bae

Since Specialization
Citations

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

Fields of papers citing papers by Jinhee Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201999
2 201774
3 201953
4 201853
5 201838
6 202224
7 202124
8 202015
9 201913
10 202412
11 20242
12 20240

About Jinhee Bae

Jinhee Bae is a scholar working on Materials Chemistry, Inorganic Chemistry, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Artificial Intelligence, having authored 12 papers that have together received 407 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (8 papers), Covalent Organic Framework Applications (6 papers), Magnetism in coordination complexes (3 papers), Gas Sensing Nanomaterials and Sensors (2 papers), Advanced Thermoelectric Materials and Devices (2 papers), Heusler alloys: electronic and magnetic properties (2 papers), Machine Learning and ELM (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Inorganic Chemistry (308 citations), Materials Chemistry (233 citations), Process Chemistry and Technology (13 citations), Electronic, Optical and Magnetic Materials (76 citations) and Renewable Energy, Sustainability and the Environment (50 citations). Jinhee Bae has collaborated with scholars based in South Korea and United States. Frequent co-authors include Nak Cheon Jeong, Dohyun Moon, Kyung Min Choi, Min‐Bum Kim, Kyo Sung Park, Youn‐Sang Bae, Hoon Ji, Sunhyun Hwang, Jae-Dong Lee and Won Seok Yun. Their work appears in journals such as ACS Applied Materials & Interfaces, Inorganic Chemistry, Journal of the American Chemical Society, Chemical Communications and Nature Communications.

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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