Dae‐Kwang Lim

2.1k citations
68 papers · 1.8k · h-index 25

Impact in

Papers in

Dae‐Kwang Lim

66 papers receiving 1.8k citations

Peers

Dae‐Kwang Lim
Comparison fields: 5 of 90
  • Catalysis 203
  • Materials Chemistry 1.3k
  • Electronic, Optical and Magnetic Materials 398
  • Renewable Energy, Sustainability and the Environment 242
  • Cellular and Molecular Neuroscience 177
Replace Xiao-Bin Fu with:
Xiao-Bin Fu China
Naseem Ahmad Khan Pakistan
Ruidan Wang China
María Cuartero Sweden
Peter F. W. Simon Germany
Guofu Zhang China
Binbin Liu China
Yogeswaran Umasankar United States
Swati Sharma India
Yiqin Liu China
Dae‐Kwang Lim relative to Xiao-Bin Fu China Xiao-Bin Fu's profile →
Citations per field
00.5×2×4×6×7.3×
Xiao-Bin Fu · 1×
Citations per year

Countries citing papers authored by Dae‐Kwang Lim

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Kwang Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae‐Kwang Lim. 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 Dae‐Kwang Lim. The network helps show where Dae‐Kwang Lim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983100
2 201095
3 202193
4 202078
5 202375
6 202068
7 202163
8 201960
9 201957
10 201552
11 201549
12 201348
13 198645
14 201139
15 201338
16 201236
17 198934
18 202230
19 202330
20 201129

About Dae‐Kwang Lim

Dae‐Kwang Lim is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials, Cellular and Molecular Neuroscience, Catalysis and Pharmacology, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advancements in Solid Oxide Fuel Cells (44 papers), Electronic and Structural Properties of Oxides (31 papers), Magnetic and transport properties of perovskites and related materials (16 papers), Fuel Cells and Related Materials (15 papers), Neuroscience and Neuropharmacology Research (12 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Electrocatalysts for Energy Conversion (6 papers) and Advanced battery technologies research (6 papers). The work is most often cited by research in Catalysis (203 citations), Materials Chemistry (1.3k citations), Electronic, Optical and Magnetic Materials (398 citations), Renewable Energy, Sustainability and the Environment (242 citations) and Cellular and Molecular Neuroscience (177 citations). Dae‐Kwang Lim has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Sun‐Ju Song, I.K. Ho, Beth Hoskins, Bhupendra Singh, Ha‐Ni Im, WooChul Jung, M.-B. Choi, Jun Hyuk Kim, Sang‐Yun Jeon and Jun Kyu Kim. Their work appears in journals such as Journal of The Electrochemical Society, Journal of Materials Chemistry A, Acta Materialia, Ceramics International and Neurochemical Research.

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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