Peihong Zhang

6.4k total citations
155 papers, 5.3k citations indexed

About

Peihong Zhang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, Peihong Zhang has authored 155 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Materials Chemistry, 58 papers in Electrical and Electronic Engineering and 29 papers in Condensed Matter Physics. Recurrent topics in Peihong Zhang's work include High voltage insulation and dielectric phenomena (23 papers), Graphene research and applications (17 papers) and ZnO doping and properties (17 papers). Peihong Zhang is often cited by papers focused on High voltage insulation and dielectric phenomena (23 papers), Graphene research and applications (17 papers) and ZnO doping and properties (17 papers). Peihong Zhang collaborates with scholars based in United States, China and Singapore. Peihong Zhang's co-authors include Vincent H. Crespi, Wenqing Zhang, Pratibha Dev, Steven G. Louie, Marvin L. Cohen, Yi‐Yang Sun, Shengbai Zhang, Paul E. Lammert, Tesfaye A. Abtew and Xue Yu and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Peihong Zhang

150 papers receiving 5.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peihong Zhang United States 43 4.1k 2.4k 1.1k 832 719 155 5.3k
Li Lü China 32 3.5k 0.9× 2.5k 1.0× 1.1k 1.1× 2.0k 2.4× 892 1.2× 137 6.0k
Roman Engel‐Herbert United States 34 3.2k 0.8× 2.7k 1.1× 1.4k 1.3× 897 1.1× 499 0.7× 121 5.6k
A. Cantarero Spain 39 3.6k 0.9× 2.6k 1.1× 993 0.9× 1.8k 2.1× 732 1.0× 285 5.8k
Panchapakesan Ganesh United States 39 4.3k 1.1× 2.7k 1.1× 1.8k 1.7× 710 0.9× 449 0.6× 132 6.2k
María Losurdo Italy 40 3.4k 0.8× 2.8k 1.2× 1.8k 1.7× 888 1.1× 805 1.1× 260 5.8k
Peter J. Klar Germany 42 3.7k 0.9× 3.7k 1.5× 1.5k 1.4× 2.3k 2.8× 1.1k 1.5× 315 7.4k
Tatsuro Maeda Japan 32 2.2k 0.5× 3.0k 1.2× 1.4k 1.3× 870 1.0× 405 0.6× 208 4.7k
Marco Bernardi United States 34 4.9k 1.2× 3.0k 1.2× 899 0.8× 1.2k 1.4× 274 0.4× 88 6.4k
Judy Wu United States 43 3.8k 0.9× 2.9k 1.2× 1.9k 1.8× 893 1.1× 1.7k 2.3× 349 6.7k
Jing Wu China 44 4.8k 1.2× 3.0k 1.2× 1.1k 1.0× 737 0.9× 159 0.2× 184 6.7k

Countries citing papers authored by Peihong Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Peihong Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peihong Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Peihong Zhang. A scholar is included among the top collaborators of Peihong Zhang 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 Peihong Zhang. Peihong Zhang 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.
Kang, Zhong-Bo, et al.. (2025). Investigation of damage accumulation in under-aged 7005 aluminum alloy sheet during high-cycle fatigue process. Journal of Materials Science. 60(43). 21400–21414.
2.
Hu, Leiqing, Gengyi Zhang, Thien Tran, et al.. (2025). Sabatier principle in designing CO 2 -philic but blocking membranes. Science Advances. 11(47). eadz2830–eadz2830.
3.
Wu, Yabei, Peihong Zhang, & Wenqing Zhang. (2024). Advancing first-principles dielectric property prediction of complex microwave materials: an elemental-unit decomposition approach. npj Computational Materials. 10(1). 1 indexed citations
4.
Jia, Fanhao, Zhao Tang, Weiwei Gao, et al.. (2024). Quasiparticle and excitonic structures of few-layer and bulk GaSe: Interlayer coupling, self-energy, and electron-hole interaction. Physical Review Applied. 21(5). 5 indexed citations
5.
6.
Zhang, Fan, et al.. (2023). Giant excitonic effects in vacancy-ordered double perovskites. Physical review. B.. 107(23). 11 indexed citations
7.
Tang, Zhao, Yabei Wu, Weiyi Xia, et al.. (2022). Giant Narrow-Band Optical Absorption and Distinctive Excitonic Structures of Monolayer C3N and C3B. Physical Review Applied. 17(3). 15 indexed citations
8.
Li, Musen, et al.. (2022). Accurate band gap prediction based on an interpretable Δ-machine learning. Materials Today Communications. 33. 104630–104630. 12 indexed citations
9.
Wu, Yabei, Zhao Tang, Ya Yang, et al.. (2022). Exploiting the stereoelectronic effects for selective tuning of band edge states of α-SnO: GW quasiparticle calculations. Physical review. B.. 106(8). 2 indexed citations
10.
Wu, Yabei, Zhao Tang, Weiyi Xia, et al.. (2022). Prediction of protected band edge states and dielectric tunable quasiparticle and excitonic properties of monolayer MoSi2N4. npj Computational Materials. 8(1). 39 indexed citations
11.
Gao, Weiwei, Weiyi Xia, Peihong Zhang, James R. Chelikowsky, & Jijun Zhao. (2022). Numerical methods for efficient GW calculations and the applications in low-dimensional systems. Electronic Structure. 4(2). 23003–23003. 5 indexed citations
12.
Tang, Zhao, et al.. (2021). Quasiparticle band structure of SrTiO3 and BaTiO3: A combined LDA+U and G0W0 approach. Physical review. B.. 103(3). 7 indexed citations
13.
Tang, Zhao, et al.. (2021). Quasiparticle band structures of the 4d perovskite oxides SrZrO3 and BaZrO3. Physical review. B.. 104(19). 5 indexed citations
14.
Xia, Weiyi, Weiwei Gao, Yabei Wu, et al.. (2020). Combined subsampling and analytical integration for efficient large-scale GW calculations for 2D systems. npj Computational Materials. 6(1). 14 indexed citations
15.
Zhang, Yujuan, Weiyi Xia, Yabei Wu, & Peihong Zhang. (2019). Prediction of MXene based 2D tunable band gap semiconductors: GW quasiparticle calculations. Nanoscale. 11(9). 3993–4000. 83 indexed citations
16.
Wu, Yabei, Weiyi Xia, Weiwei Gao, et al.. (2018). Quasiparticle electronic structure of honeycomb C 3 N: from monolayer to bulk. 2D Materials. 6(1). 15018–15018. 21 indexed citations
17.
Li, Chaoran, Peihong Zhang, Jianyu Wang, J. Anibal Boscoboinik, & Guangwen Zhou. (2018). Tuning the Deoxygenation of Bulk-Dissolved Oxygen in Copper. The Journal of Physical Chemistry C. 122(15). 8254–8261. 16 indexed citations
18.
Gao, Weiwei, Weiyi Xia, Xiang Gao, & Peihong Zhang. (2017). Speeding up GW Calculations for Large Scale Quasiparticle Predictions. Bulletin of the American Physical Society. 2017. 2 indexed citations
19.
Zhang, Peihong, et al.. (2012). Application of detached-eddy simulation based on Spalart-Allmaras turbulence model. Beijing Hangkong Hangtian Daxue xuebao. 905. 1 indexed citations
20.
Louie, Steven G., Peihong Zhang, Marvin L. Cohen, & Rodrigo B. Capaz. (2005). Theory of Sodium Ordering in Na$_x$CoO$_2$. Bulletin of the American Physical Society. 2 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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