Qing Zhao

10.5k total citations · 4 hit papers
167 papers, 8.5k citations indexed

About

Qing Zhao is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Qing Zhao has authored 167 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Electrical and Electronic Engineering, 97 papers in Materials Chemistry and 50 papers in Biomedical Engineering. Recurrent topics in Qing Zhao's work include Perovskite Materials and Applications (67 papers), Quantum Dots Synthesis And Properties (46 papers) and Conducting polymers and applications (34 papers). Qing Zhao is often cited by papers focused on Perovskite Materials and Applications (67 papers), Quantum Dots Synthesis And Properties (46 papers) and Conducting polymers and applications (34 papers). Qing Zhao collaborates with scholars based in China, United States and France. Qing Zhao's co-authors include Dapeng Yu, Yicheng Zhao, Wenke Zhou, Jing Wei, Heng Li, Yao Zhao, Kaihui Liu, Feng Gao, Rui Hu and Chao Luo and has published in prestigious journals such as Science, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Qing Zhao

162 papers receiving 8.4k citations

Hit Papers

A polymer scaffold for se... 2016 2026 2019 2022 2016 2016 2018 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Zhao China 51 6.2k 4.8k 2.4k 1.9k 919 167 8.5k
Sung‐Yool Choi South Korea 55 6.9k 1.1× 5.2k 1.1× 1.7k 0.7× 3.1k 1.7× 1.4k 1.5× 217 10.3k
Kevin G. Yager United States 48 2.0k 0.3× 4.6k 1.0× 1.1k 0.4× 1.5k 0.8× 1.7k 1.9× 175 7.8k
Shufeng Wang China 45 4.8k 0.8× 4.6k 1.0× 1.9k 0.8× 1.0k 0.5× 830 0.9× 213 7.5k
Alberto Piqué United States 49 5.0k 0.8× 3.6k 0.8× 1.2k 0.5× 3.1k 1.7× 1.4k 1.5× 212 9.1k
Alan M. Cassell United States 41 3.3k 0.5× 8.8k 1.9× 1.0k 0.4× 3.3k 1.8× 1.0k 1.1× 131 11.7k
Ryan C. Chiechi Netherlands 45 5.2k 0.8× 2.4k 0.5× 2.1k 0.9× 2.3k 1.2× 435 0.5× 124 7.0k
Tatsuya Shimoda Japan 37 7.7k 1.2× 2.7k 0.6× 1.8k 0.8× 3.2k 1.7× 875 1.0× 297 9.5k
Changzhi Gu China 50 4.0k 0.6× 4.3k 0.9× 1.2k 0.5× 3.1k 1.7× 3.3k 3.6× 347 9.5k
Yang‐Fang Chen Taiwan 54 4.9k 0.8× 5.3k 1.1× 1.7k 0.7× 2.7k 1.4× 2.0k 2.2× 343 9.7k
Mark P. Stoykovich United States 36 2.0k 0.3× 4.4k 0.9× 704 0.3× 2.6k 1.4× 533 0.6× 72 7.0k

Countries citing papers authored by Qing Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Qing Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Zhao. A scholar is included among the top collaborators of Qing 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 Qing Zhao. Qing 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.
Zhan, Changling, Chao Luo, Feng Gao, et al.. (2025). Unraveling the Operation Degradation Mechanism of Positive Bias Interface in Perovskite Solar Cells. Small. 21(29). e2502989–e2502989. 1 indexed citations
2.
Zhao, Qing, et al.. (2025). Graphene far-infrared drying wheat: Heat transfer and energy behaviors. Case Studies in Thermal Engineering. 74. 106864–106864.
3.
Zhao, Qing, Chengqi Zhao, Kun Huang, et al.. (2025). Porous Ionic Liquids Featuring Chemical Site Toward Low‐Pressure CO 2 Capture and Conversion. Advanced Functional Materials. 36(9). 1 indexed citations
4.
Zhao, Qing, et al.. (2025). Graphene far-infrared drying of wheat: Mass transfer behavior. International Communications in Heat and Mass Transfer. 167. 109202–109202. 2 indexed citations
5.
Xu, Hui-Qin, Qing Zhao, Kun Huang, et al.. (2025). One-step synthesis of porous ionic liquids via proton transfer for natural gas purification. Chemical Communications. 62(7). 2309–2312.
6.
Luo, Chao, Qisen Zhou, Xianjin Wang, et al.. (2025). Engineering bonding sites enables uniform and robust self-assembled monolayer for stable perovskite solar cells. Nature Materials. 24(8). 1265–1272. 15 indexed citations
7.
Hu, Rui, Zhen Zhang, Lifeng Tian, et al.. (2025). Quad-Nanopore Array Enables High-Resolution Identification of Four Single-Stranded DNA Homopolymers. ACS Nano. 19(11). 11403–11411. 3 indexed citations
8.
Cui, Yunfeng, et al.. (2024). Biocatalytic production of (S)-1,2,4-butanetriol from d-xylose by whole cells of engineered Escherichia coli. Molecular Catalysis. 562. 114230–114230. 1 indexed citations
9.
Wang, Xianjin, Zhaoyu Wang, Di Wang, et al.. (2024). Fabricating Solid‐Solution‐Type Perovskite/Fluoride Nanocomposites Through Sublattice Interlocking for High‐Performance Photovoltaics. Advanced Functional Materials. 34(27). 4 indexed citations
10.
Wang, Xianjin, Guanhaojie Zheng, Feng Gao, et al.. (2024). In Situ Study of Purified Phase Transition Path for α‐FAPbI3 Crystallization. Advanced Energy Materials. 14(14). 13 indexed citations
11.
Qin, Biao, Chaojie Ma, Chaojie Ma, et al.. (2024). Interfacial epitaxy of multilayer rhombohedral transition-metal dichalcogenide single crystals. Science. 385(6704). 99–104. 68 indexed citations
12.
Li, Yang, Feng Gao, Chao Luo, et al.. (2023). Colloidal CsBr Nanocrystals Triggered Inorganic Cation and Anion Exchange Enables High‐Performance Perovskite Solar Cells. Small. 20(10). e2305956–e2305956. 5 indexed citations
13.
14.
Zhang, Yu, Qizhen Song, Guilin Liu, et al.. (2023). Improved fatigue behaviour of perovskite solar cells with an interfacial starch–polyiodide buffer layer. Nature Photonics. 17(12). 1066–1073. 93 indexed citations
15.
Zhang, Yumei, Hongyang Li, Hongyang Li, et al.. (2022). Magnetic regulation in the off-stoichiometric L10-MnGa thin film by Fe doping. Journal of Alloys and Compounds. 907. 164391–164391.
16.
Zhou, Wenke, et al.. (2020). Basis and effects of ion migration on photovoltaic performance of perovskite solar cells. Journal of Physics D Applied Physics. 54(6). 63001–63001. 30 indexed citations
17.
Cao, Huanqi, Jinzhao Li, Zheng‐Gao Dong, et al.. (2019). Reducing Defects in Perovskite Solar Cells with White Light Illumination-Assisted Synthesis. ACS Energy Letters. 4(12). 2821–2829. 32 indexed citations
18.
Zhao, Yao, Wenke Zhou, Qi Li, et al.. (2019). Water‐Based TiO2 Nanocrystal as an Electronic Transport Layer for Operationally Stable Perovskite Solar Cells. Solar RRL. 3(9). 14 indexed citations
19.
Hu, Rui, João V. Rodrigues, Pradeep Waduge, et al.. (2018). Differential Enzyme Flexibility Probed Using Solid-State Nanopores. ACS Nano. 12(5). 4494–4502. 89 indexed citations
20.
Zhao, Yicheng, Hairen Tan, Haifeng Yuan, et al.. (2018). Perovskite seeding growth of formamidinium-lead-iodide-based perovskites for efficient and stable solar cells. Nature Communications. 9(1). 1607–1607. 364 indexed citations breakdown →

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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