Kaijun Mu

53 total papers · 423 total citations
39 papers, 309 citations indexed

About

Kaijun Mu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Kaijun Mu has authored 39 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 17 papers in Biomedical Engineering and 12 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Kaijun Mu's work include Terahertz technology and applications (21 papers), Spectroscopy and Laser Applications (11 papers) and Plasmonic and Surface Plasmon Research (8 papers). Kaijun Mu is often cited by papers focused on Terahertz technology and applications (21 papers), Spectroscopy and Laser Applications (11 papers) and Plasmonic and Surface Plasmon Research (8 papers). Kaijun Mu collaborates with scholars based in China and United States. Kaijun Mu's co-authors include Erjun Liang, Junqiao Wang, Pei Ding, Chunzhen Fan, Jia Zhang, Cunlin Zhang, Shu Chen, Yongzhi Tian, Liangliang Zhang and Jia Zhang and has published in prestigious journals such as Applied Physics Letters, Analytical Chemistry and Scientific Reports.

In The Last Decade

Kaijun Mu

35 papers receiving 291 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kaijun Mu	177	172	117	109	44	39	309
Habibe Durmaz	156 0.9×	165 1.0×	126 1.1×	99 0.9×	54 1.2×	23	334
Gino Putrino	78 0.4×	92 0.5×	198 1.7×	115 1.1×	57 1.3×	36	310
Kedi Wu	133 0.8×	227 1.3×	84 0.7×	131 1.2×	105 2.4×	31	347
Jan Taro Svejda	73 0.4×	76 0.4×	109 0.9×	41 0.4×	61 1.4×	36	251
Г. И. Кропотов	73 0.4×	65 0.4×	282 2.4×	181 1.7×	52 1.2×	50	359
Andrii B. Golovin	111 0.6×	238 1.4×	97 0.8×	133 1.2×	36 0.8×	37	343
Giovanni Magno	160 0.9×	116 0.7×	162 1.4×	121 1.1×	42 1.0×	54	273
Sujuan Feng	76 0.4×	109 0.6×	230 2.0×	196 1.8×	41 0.9×	44	360
Yuewang Huang	94 0.5×	60 0.3×	260 2.2×	214 2.0×	36 0.8×	28	347
Andrey Machnev	105 0.6×	44 0.3×	92 0.8×	74 0.7×	30 0.7×	28	272

Countries citing papers authored by Kaijun Mu

Since Specialization

Citations

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

Fields of papers citing papers by Kaijun Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaijun Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Kaijun Mu. A scholar is included among the top collaborators of Kaijun Mu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaijun Mu. Kaijun Mu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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