Hee-Dae Kim

955 citations
66 papers · 719 · h-index 13

Impact in

Papers in

Hee-Dae Kim

57 papers receiving 695 citations

Peers

Hee-Dae Kim
Comparison fields: 5 of 109
  • Endocrine and Autonomic Systems 239
  • Behavioral Neuroscience 79
  • Aging 33
  • Geriatrics and Gerontology 41
  • Biological Psychiatry 25
Replace Hideyuki Terazono with:
Hideyuki Terazono Japan
Magdalena Chmielowska Poland
Takashi Sugiyama Japan
Yasushi Isojima Japan
D. Ghosh United States
Janet Best United States
Ning Cheng United States
Giorgio Fedele United Kingdom
Stefan Korte Germany
Renzhi Yang China
Hee-Dae Kim relative to Hideyuki Terazono Japan Hideyuki Terazono's profile →
Citations per field
00.5×8.2×
Hideyuki Terazono · 1×
Citations per year

Countries citing papers authored by Hee-Dae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hee-Dae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee-Dae Kim. 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 Hee-Dae Kim. The network helps show where Hee-Dae Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008258
2 201586
3 202047
4 200425
5 201424
6 201622
7 201720
8 201616
9 201016
10 202014
11 202114
12 201713
13 201212
14 201811
15 20109
16 20068
17 20188
18
Utilization of Liquid Pig Manure as a Substitute for Chemical Fertilizer in Double Cropping system of Rice Followed by Onion
20047
19 20156
20 19976

About Hee-Dae Kim

Hee-Dae Kim is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Materials Chemistry, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 66 papers that have together received 719 indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (15 papers), Quantum and electron transport phenomena (11 papers), Quantum Dots Synthesis And Properties (11 papers), Semiconductor Lasers and Optical Devices (9 papers), Agriculture, Soil, Plant Science (6 papers), Plant Physiology and Cultivation Studies (5 papers), ZnO doping and properties (5 papers) and Garlic and Onion Studies (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (239 citations), Behavioral Neuroscience (79 citations), Aging (33 citations), Geriatrics and Gerontology (41 citations) and Biological Psychiatry (25 citations). Hee-Dae Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Kyungjin Kim, Han Kyoung Choe, Kun Ho Lee, Sehyung Cho, Woong Sun, Sooyoung Chung, Gi Hoon Son, Hankyu Lee, Hyun Kim and Sukwoo Choi. Their work appears in journals such as Applied Surface Science, Current Applied Physics, Optics Express, Nano Letters and Applied Physics Letters.

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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