Kaijin Kang

762 citations
28 papers · 674 · h-index 16

Impact in

Papers in

Kaijin Kang

27 papers receiving 668 citations

Peers

Kaijin Kang
Comparison fields: 5 of 37
  • Electronic, Optical and Magnetic Materials 468
  • Inorganic Chemistry 212
  • Materials Chemistry 328
  • Polymers and Plastics 64
  • Physical and Theoretical Chemistry 35
Replace Bing Teng with:
Bing Teng China
Jun-ichi Yamaura Japan
P. Foury-Leylekian France
Szymon Sobczak Poland
Dianlong Zhao China
Shengzi Zhang China
R. Schneider Germany
Sijie Liu China
Mathijs de Jong Netherlands
L. P. Sosman Brazil
Kaijin Kang relative to Bing Teng China Bing Teng's profile →
Citations per field
00.5×3.2×
Bing Teng · 1×
Citations per year

Countries citing papers authored by Kaijin Kang

Since Specialization
Citations

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

Fields of papers citing papers by Kaijin Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202169
2 201963
3 201858
4 201956
5 201944
6 201943
7 201942
8 202039
9 201937
10 202328
11 202026
12 202026
13 201924
14 202223
15 201917
16 202315
17 201914
18 201911
19 201910
20 20247

About Kaijin Kang

Kaijin Kang is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry, Inorganic Chemistry, Electrical and Electronic Engineering and Polymers and Plastics, having authored 28 papers that have together received 674 indexed citations. Recurring topics across this work include Crystal Structures and Properties (15 papers), Advanced Memory and Neural Computing (7 papers), Solid-state spectroscopy and crystallography (6 papers), Perovskite Materials and Applications (5 papers), Inorganic Fluorides and Related Compounds (5 papers), Nonlinear Optical Materials Research (4 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers) and Transition Metal Oxide Nanomaterials (3 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (468 citations), Inorganic Chemistry (212 citations), Materials Chemistry (328 citations), Polymers and Plastics (64 citations) and Physical and Theoretical Chemistry (35 citations). Kaijin Kang has collaborated with scholars based in China. Frequent co-authors include Jian Tang, Zheshuai Lin, Wenlong Yin, Xianghe Meng, Mingjun Xia, Fei Liang, Tixian Zeng, Wei Hu, Xiaosheng Tang and Bin Kang. Their work appears in journals such as Dalton Transactions, The Journal of Physical Chemistry Letters, Inorganic Chemistry, Crystal Growth & Design 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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