Ai-Jie Mao

732 total citations
70 papers, 647 citations indexed

About

Ai-Jie Mao is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Ai-Jie Mao has authored 70 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Materials Chemistry, 26 papers in Electronic, Optical and Magnetic Materials and 22 papers in Electrical and Electronic Engineering. Recurrent topics in Ai-Jie Mao's work include Luminescence Properties of Advanced Materials (17 papers), Perovskite Materials and Applications (13 papers) and Boron and Carbon Nanomaterials Research (10 papers). Ai-Jie Mao is often cited by papers focused on Luminescence Properties of Advanced Materials (17 papers), Perovskite Materials and Applications (13 papers) and Boron and Carbon Nanomaterials Research (10 papers). Ai-Jie Mao collaborates with scholars based in China, United States and Taiwan. Ai-Jie Mao's co-authors include Xiao‐Yu Kuang, Xiao-Yu Kuang, L. Bellaïche, Yurong Yang, Jorge Íñiguez, Hao Tian, Cheng Lü, Xiao-Fen Huang, Hong Jian Zhao and Hui Wang and has published in prestigious journals such as Physical Review Letters, The Journal of Physical Chemistry C and Journal of Materials Chemistry A.

In The Last Decade

Ai-Jie Mao

65 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ai-Jie Mao China 14 515 223 184 124 90 70 647
Weon Cheol Lim South Korea 14 409 0.8× 149 0.7× 176 1.0× 129 1.0× 50 0.6× 54 594
Kaihua He China 17 428 0.8× 218 1.0× 162 0.9× 140 1.1× 99 1.1× 53 620
Éric Sandré France 13 505 1.0× 112 0.5× 142 0.8× 83 0.7× 33 0.4× 24 671
Xiyuan Sun China 16 448 0.9× 308 1.4× 91 0.5× 144 1.2× 44 0.5× 57 749
Blanka Magyari‐Köpe United States 13 312 0.6× 111 0.5× 148 0.8× 79 0.6× 69 0.8× 22 457
David Abbasi-Pérez Spain 5 637 1.2× 369 1.7× 224 1.2× 86 0.7× 168 1.9× 7 900
Alevtina Smekhova Germany 14 261 0.5× 169 0.8× 89 0.5× 137 1.1× 79 0.9× 48 461
Gaimin Lu China 15 719 1.4× 128 0.6× 229 1.2× 69 0.6× 71 0.8× 36 944
Mir Maqsood Golzan Iran 15 473 0.9× 171 0.8× 283 1.5× 61 0.5× 29 0.3× 32 672
Espen Flage−Larsen Norway 15 867 1.7× 287 1.3× 278 1.5× 150 1.2× 153 1.7× 27 1.0k

Countries citing papers authored by Ai-Jie Mao

Since Specialization
Citations

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

Fields of papers citing papers by Ai-Jie Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ai-Jie Mao. 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 Ai-Jie Mao. The network helps show where Ai-Jie Mao may publish in the future.

Co-authorship network of co-authors of Ai-Jie Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Ai-Jie Mao. A scholar is included among the top collaborators of Ai-Jie Mao 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 Ai-Jie Mao. Ai-Jie Mao 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.
2.
Chen, Jichao, Xiao‐Yu Kuang, Siyu Jin, et al.. (2023). Prediction of Stability and Superconductivity in Ternary Hydride Li2BeH6: Two Metastable Superconductors. The Journal of Physical Chemistry C. 127(45). 22287–22294. 2 indexed citations
3.
4.
Jiang, Gang, et al.. (2023). Insights into the structures and elastic properties of Mg-Sn compounds with superconductivity. Vacuum. 215. 112265–112265. 5 indexed citations
5.
Cui, Yingqi, Hao Cheng, Hao Tian, et al.. (2021). Pressure-induced reconstructive phase transitions, polarization with metallicity, and enhanced hardness in antiperovskite MgCNi3. Physical Chemistry Chemical Physics. 23(33). 18221–18226. 4 indexed citations
6.
Chen, Yingying, et al.. (2021). Electronic work function, surface energy and electronic properties of binary Mg-Y and Mg- Al alloys: A DFT study. Surface Science. 712. 121880–121880. 42 indexed citations
7.
Sun, Weiguo, et al.. (2021). Pressure-Driven Structural Phase Transitions and Superconductivity of Ternary Hydride MgVH6. The Journal of Physical Chemistry C. 125(5). 3150–3156. 29 indexed citations
8.
Mao, Ai-Jie, et al.. (2020). Correction: Semiconductor-to-metal reconstructive phase transition and superconductivity of anti-perovskite Ca3PN under hydrostatic pressure. Journal of Materials Chemistry C. 8(37). 13090–13090. 3 indexed citations
9.
Cheng, Hao, et al.. (2019). Hydrostatic pressure induced structural phase transition and mechanical properties of fluoroperovskite. Journal of Physics Condensed Matter. 31(50). 505406–505406. 9 indexed citations
10.
Tian, Hao, Xiao‐Yu Kuang, Ai-Jie Mao, et al.. (2018). Structural phases arising from reconstructive and isostructural transitions in high-melting-point oxides under hydrostatic pressure: A first-principles study. Physical review. B.. 97(2). 23 indexed citations
11.
Yang, Yurong, Jorge Íñiguez, Ai-Jie Mao, & L. Bellaïche. (2014). Prediction of a Novel Magnetoelectric Switching Mechanism in Multiferroics. Physical Review Letters. 112(5). 57202–57202. 61 indexed citations
12.
Kuang, Fangguang, et al.. (2014). Roles of charge state and interatomic distance in the magnetic properties of C-doped MgO. Chemical Physics Letters. 621. 52–57. 7 indexed citations
13.
Li, Hui, et al.. (2014). Study on the ground-state splitting and the local lattice distortion of α-Al2O3：Fe3+ system. Acta Physica Sinica. 63(1). 17102–17102.
14.
Li, Hui, Xiao-Yu Kuang, Ai-Jie Mao, & Chenggang Li. (2012). Studies of EPR spectra and defect structure for Er3+ ions in BaF2 and SrF2 crystals. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 102. 169–174. 6 indexed citations
15.
Li, Yanfang, Xiao-Yu Kuang, Ai-Jie Mao, Li Yang, & Yaru Zhao. (2011). A DFT study on equilibrium geometries, stabilities, and electronic properties of small bimetallic Na-doped Au n (n = 1-9) clusters: comparison with pure gold clusters. Journal of Molecular Modeling. 18(1). 329–338. 9 indexed citations
16.
Li, Yanfang, Ai-Jie Mao, Yang Li, & Xiao-Yu Kuang. (2011). Density functional study on size-dependent structures, stabilities, electronic and magnetic properties of Au n M (M = Al and Si, n = 1–9) clusters: comparison with pure gold clusters. Journal of Molecular Modeling. 18(7). 3061–3072. 26 indexed citations
17.
Li, Huili, Xiao-Yu Kuang, Ai-Jie Mao, Ying Li, & Sujuan Wang. (2009). Study of local structures and optical spectra for octahedral Fe3+ centers in a series of garnet crystals A3B2C3O12 (A = Cd, Ca; B = Al, Ga, Sc, In; C = Ge, Si). Chemical Physics Letters. 484(4-6). 387–391. 5 indexed citations
18.
Huang, Jinling, Xiao-Yu Kuang, Ai-Jie Mao, & Hui Wang. (2007). Study on the local structure of (CrO6)9− complex in garnet crystals by optical and EPR spectrum. Journal of Physics and Chemistry of Solids. 69(4). 913–917. 1 indexed citations
19.
20.
Kuang, Xiao‐Yu, et al.. (2006). EPR theoretical study of local molecular structure for tetrahedral Fe3+ centers in zinc oxide. Chemical Physics Letters. 429(1-3). 266–270. 9 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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