Kaijin Kang

726 citations
27 papers · 653 · h-index 15

Impact in

Papers in

Kaijin Kang

26 papers receiving 647 citations

Peers

Kaijin Kang
Comparison fields: 5 of 37
  • Electronic, Optical and Magnetic Materials 464
  • Inorganic Chemistry 212
  • Materials Chemistry 324
  • Polymers and Plastics 62
  • Physical and Theoretical Chemistry 35
Replace Sijie Liu with:
Sijie Liu China
Szymon Sobczak Poland
Shengzi Zhang China
Dianlong Zhao China
B.Zh. Narymbetov Russia
R. Schneider Germany
J. Berdowski Poland
Mathijs de Jong Netherlands
L. P. Sosman Brazil
Jun-ichi Yamaura Japan
Kaijin Kang relative to Sijie Liu China Sijie Liu's profile →
Citations per field
00.5×
Sijie Liu · 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202167
2 201962
3 201858
4 201954
5 201944
6 201942
7 201940
8 202038
9 201937
10 202026
11 202026
12 202324
13 201924
14 202223
15 201917
16 202314
17 201914
18 201911
19 20199
20 20246

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 27 papers that have together received 653 indexed citations. Recurring topics across this work include Crystal Structures and Properties (15 papers), Solid-state spectroscopy and crystallography (6 papers), Advanced Memory and Neural Computing (6 papers), Inorganic Fluorides and Related Compounds (5 papers), Nonlinear Optical Materials Research (4 papers), Perovskite Materials and Applications (4 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers) and Crystal structures of chemical compounds (3 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (464 citations), Inorganic Chemistry (212 citations), Materials Chemistry (324 citations), Polymers and Plastics (62 citations) and Physical and Theoretical Chemistry (35 citations). Kaijin Kang has collaborated with scholars based in China. Frequent co-authors include Zheshuai Lin, Jian Tang, Wenlong Yin, Mingjun Xia, Xianghe Meng, Fei Liang, Wei Hu, Tixian Zeng, Xiaosheng Tang and Bin Kang. Their work appears in journals such as Dalton Transactions, The Journal of Physical Chemistry Letters, Crystal Growth & Design, Inorganic Chemistry 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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