Kang Zhao

872 total citations
34 papers, 553 citations indexed

About

Kang Zhao is a scholar working on Electronic, Optical and Magnetic Materials, Condensed Matter Physics and Materials Chemistry. According to data from OpenAlex, Kang Zhao has authored 34 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electronic, Optical and Magnetic Materials, 18 papers in Condensed Matter Physics and 17 papers in Materials Chemistry. Recurrent topics in Kang Zhao's work include Iron-based superconductors research (18 papers), Rare-earth and actinide compounds (11 papers) and Magnetic and transport properties of perovskites and related materials (6 papers). Kang Zhao is often cited by papers focused on Iron-based superconductors research (18 papers), Rare-earth and actinide compounds (11 papers) and Magnetic and transport properties of perovskites and related materials (6 papers). Kang Zhao collaborates with scholars based in China, United States and Hong Kong. Kang Zhao's co-authors include Genfu Chen, Bo-Jin Pan, Bin-Bin Ruan, Qing-Ge Mu, Zhi-An Ren, H. K. Wong, Jirong Sun, Jia Yu, Chi Hong Leung and B. G. Shen and has published in prestigious journals such as Journal of the American Chemical Society, ACS Nano and Applied Physics Letters.

In The Last Decade

Kang Zhao

33 papers receiving 515 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kang Zhao China 14 420 320 251 62 60 34 553
Neeraj Kumar India 14 454 1.1× 299 0.9× 215 0.9× 76 1.2× 26 0.4× 39 579
Anuj Kumar India 9 564 1.3× 462 1.4× 172 0.7× 37 0.6× 23 0.4× 28 626
Shangfei Wu China 14 257 0.6× 197 0.6× 288 1.1× 114 1.8× 145 2.4× 28 544
M. Gutowska Poland 15 527 1.3× 429 1.3× 299 1.2× 133 2.1× 121 2.0× 48 722
Vladislav Borisov Germany 14 392 0.9× 302 0.9× 180 0.7× 66 1.1× 96 1.6× 36 514
Brendan D. Faeth United States 11 292 0.7× 250 0.8× 288 1.1× 221 3.6× 75 1.3× 20 655
Prashant Shahi India 11 283 0.7× 159 0.5× 277 1.1× 87 1.4× 75 1.3× 36 444
V. A. Desnenko Ukraine 12 336 0.8× 196 0.6× 197 0.8× 44 0.7× 37 0.6× 58 409
Daiki Ootsuki Japan 13 336 0.8× 289 0.9× 204 0.8× 53 0.9× 80 1.3× 42 477
Michał Babij Poland 10 213 0.5× 173 0.5× 105 0.4× 22 0.4× 21 0.3× 59 313

Countries citing papers authored by Kang Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Kang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Zhao. A scholar is included among the top collaborators of Kang Zhao 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 Kang Zhao. Kang Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhao, Kang, et al.. (2025). Response of different cotton genotypes to salt stress and re-watering. BMC Plant Biology. 25(1). 587–587. 4 indexed citations
2.
Liu, Xiaoyan, et al.. (2025). Study on dielectric properties and polarization mechanism of MicG-KNN/PVDF composites with in-situ grown antiferroelectric core-shell structure fillers. Journal of Alloys and Compounds. 1020. 179611–179611. 1 indexed citations
3.
Yang, Tao, Kang Zhao, Bo Pang, et al.. (2025). GWAS and GS analysis revealed the selection and prediction efficiency for yield, plant morphological, and fiber quality in Gossypium barbadense. Theoretical and Applied Genetics. 138(7). 138–138.
4.
Zhao, Kang, Dao Wang, Lei Wang, & Sajjad Ur Rehman. (2024). Spin-reorientation and exchange bias in perovskite YbCr0.5Fe0.5O3. Journal of Magnetism and Magnetic Materials. 591. 171767–171767. 1 indexed citations
5.
Wu, Lijun, et al.. (2024). Electronic characterization of bilayer silicene nanoribbons. Materials Science in Semiconductor Processing. 179. 108528–108528. 4 indexed citations
6.
Liu, Xiaoyan, et al.. (2023). Stabilizing the anti-ferroelectric phase in NaO–Nb2O5–CaO–B2O3–SiO2–ZrO2 glass-ceramics using the modification of K+ ion. Ceramics International. 49(12). 21078–21084. 3 indexed citations
7.
Zhao, Kang, Dao Wang, Lei Wang, & Sajjad Ur Rehman. (2023). Giant exchange bias field above room temperature in perovskite YbCr1−xFexO3 (x = 0.6–0.9). Physical Chemistry Chemical Physics. 26(2). 1284–1292. 4 indexed citations
8.
Maiwa, Hiroshi, et al.. (2023). Effects of MnO addition on structure and electrical properties of lead-free antiferroelectric 0.96NaNbO3–0.04CaZrO3ceramics. Ferroelectrics. 602(1). 33–45. 1 indexed citations
9.
Zhang, Hezhi, Honggang Sun, Shaopeng Pan, et al.. (2020). Origin of structural heterogeneity in Zr-Co-Al metallic glasses from the point of view of liquid structures. Journal of Non-Crystalline Solids. 553. 120501–120501. 9 indexed citations
10.
Zhao, Kang, Qing-Ge Mu, Bin-Bin Ruan, et al.. (2020). A New Quasi-One-Dimensional Ternary Molybdenum Pnictide Rb2Mo3As3 with Superconducting Transition at 10.5K. Chinese Physics Letters. 37(9). 97401–97401. 8 indexed citations
11.
Mu, Qing-Ge, Bin-Bin Ruan, Bo-Jin Pan, et al.. (2019). Na-doping effects on structural evolution and superconductivity in (K 1− x Na x ) 2 Cr 3 As 3 ( x   =  0–1). Journal of Physics Condensed Matter. 31(22). 225701–225701. 1 indexed citations
12.
Ruan, Bin-Bin, Kang Zhao, Qing-Ge Mu, et al.. (2019). Superconductivity in Bi3O2S2Cl with Bi–Cl Planar Layers. Journal of the American Chemical Society. 141(8). 3404–3408. 17 indexed citations
13.
Xiang, Ying, Xiaoyu Chen, Huan Yang, et al.. (2019). Multiband superconductivity and possible nodal gap in RbCr3As3 revealed by Andreev reflection and single-particle tunneling measurements. Physical review. B.. 100(9). 7 indexed citations
14.
Yu, Jia, Tong Liu, Kang Zhao, et al.. (2018). Single crystal growth and characterization of the 112-type iron-pnictide EuFeAs2. Acta Physica Sinica. 67(20). 207403–207403. 4 indexed citations
15.
Mu, Qing-Ge, Bin-Bin Ruan, Kang Zhao, et al.. (2018). Superconductivity at 10.4 K in a novel quasi-one-dimensional ternary molybdenum pnictide K2Mo3As3. Science Bulletin. 63(15). 952–956. 32 indexed citations
16.
Mu, Qing-Ge, Bin-Bin Ruan, Bo-Jin Pan, et al.. (2017). Superconductivity at 5 K in quasi-one-dimensional Cr-based KCr3As3 single crystals. Physical review. B.. 96(14). 53 indexed citations
17.
Yu, Jia, Tong Liu, Bo-Jin Pan, et al.. (2017). Discovery of a novel 112-type iron-pnictide and La-doping induced superconductivity in Eu 1− x La x FeAs 2 ( x = 0–0.15). Science Bulletin. 62(3). 218–221. 22 indexed citations
18.
Zhao, Kang, Ying Liu, Ying Liu, et al.. (2016). Preparation and characterization of a ZrO2–TiO2-co-doped Na-β′′-Al2O3 ceramic thin film. Ceramics International. 42(7). 8990–8996. 11 indexed citations
19.
20.
Zhao, Kang, et al.. (2014). Specific heat of Ca0.33Na0.67Fe2As2. Solid State Communications. 193. 34–36. 4 indexed citations

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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