Chun Zhao

4.6k total citations
149 papers, 2.9k citations indexed

About

Chun Zhao is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Chun Zhao has authored 149 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Electrical and Electronic Engineering, 50 papers in Materials Chemistry and 31 papers in Biomedical Engineering. Recurrent topics in Chun Zhao's work include Advanced Memory and Neural Computing (57 papers), Semiconductor materials and devices (30 papers) and Ferroelectric and Negative Capacitance Devices (26 papers). Chun Zhao is often cited by papers focused on Advanced Memory and Neural Computing (57 papers), Semiconductor materials and devices (30 papers) and Ferroelectric and Negative Capacitance Devices (26 papers). Chun Zhao collaborates with scholars based in China, United Kingdom and France. Chun Zhao's co-authors include Yina Liu, Ce Zhao, Cezhou Zhao, Ivona Z. Mitrović, Zhen Wen, Paul R. Chalker, Zongjie Shen, Yang Li, Eng Gee Lim and Wangying Xu and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Chun Zhao

141 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun Zhao China 31 2.1k 835 808 769 497 149 2.9k
Jiewei Chen Hong Kong 17 2.3k 1.1× 631 0.8× 784 1.0× 743 1.0× 774 1.6× 27 3.1k
Yi Ren China 27 2.2k 1.1× 642 0.8× 658 0.8× 889 1.2× 842 1.7× 95 3.3k
Haiyang Xu China 33 2.6k 1.3× 764 0.9× 474 0.6× 1.3k 1.7× 814 1.6× 106 3.5k
Jae Sang Heo South Korea 21 2.0k 1.0× 1.1k 1.3× 1.4k 1.8× 1.1k 1.4× 252 0.5× 45 3.0k
Guangyang Gou China 26 1.4k 0.7× 476 0.6× 1.2k 1.4× 968 1.3× 288 0.6× 55 2.6k
Tianyu Wang China 25 2.6k 1.3× 524 0.6× 370 0.5× 595 0.8× 903 1.8× 101 2.9k
Kumar Virwani United States 21 2.8k 1.4× 703 0.8× 364 0.5× 945 1.2× 664 1.3× 50 3.5k
Jae Hur United States 24 1.8k 0.9× 572 0.7× 802 1.0× 594 0.8× 151 0.3× 98 2.4k
David Wei Zhang China 29 1.5k 0.8× 489 0.6× 736 0.9× 1.1k 1.4× 226 0.5× 89 2.8k
Chuan Qian China 23 1.7k 0.8× 613 0.7× 482 0.6× 550 0.7× 712 1.4× 49 2.1k

Countries citing papers authored by Chun Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Chun Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Chun Zhao. A scholar is included among the top collaborators of Chun 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 Chun Zhao. Chun 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.
Liu, Zhengjun, Yuxiao Fang, Zhaohui Cai, et al.. (2025). Constructing a Complex Hybrid Neural Network for Biomimetic Spatial and Temporal Perception. Small. 21(35). e2506100–e2506100.
2.
Li, Junyan, Lei Hao, Xianyao Li, et al.. (2025). Quantum Dot‐Enhanced Dual‐Modality Heterojunction Optoelectronic Synapse for Neuromorphic Computing. Advanced Optical Materials. 13(13). 6 indexed citations
3.
Xie, Xinkai, Qinan Wang, Chun Zhao, et al.. (2024). Neuromorphic Computing-Assisted Triboelectric Capacitive-Coupled Tactile Sensor Array for Wireless Mixed Reality Interaction. ACS Nano. 18(26). 17041–17052. 39 indexed citations
4.
Wang, Qinan, Yong Zhang, Jing Li, et al.. (2024). Ultra-low power carbon nanotube/porphyrin synaptic arrays for persistent photoconductivity and neuromorphic computing. Nature Communications. 15(1). 6147–6147. 40 indexed citations
5.
Hao, Lei, Yixin Cao, Gang Sun, et al.. (2024). Mechano-Graded Contact-Electrification Interfaces Based Artificial Mechanoreceptors for Robotic Adaptive Reception. ACS Nano. 19(1). 1478–1489. 8 indexed citations
6.
Yin, Li, Changzeng Ding, Chenguang Liu, et al.. (2023). A Multifunctional Molecular Bridging Layer for High Efficiency, Hysteresis‐Free, and Stable Perovskite Solar Cells. Advanced Energy Materials. 13(25). 32 indexed citations
7.
Wang, Haibin, et al.. (2023). High‐Performance Inverted Perovskite Solar Cells with Sol–Gel‐Processed Sliver‐Doped NiOX Hole Transporting Layer. Energy & environment materials. 7(4). 14 indexed citations
8.
Cao, Yixin, Chun Zhao, Le Yin, et al.. (2023). Perovskite-based optoelectronic artificial synaptic thin-film transistor. Solid-State Electronics. 208. 108713–108713. 5 indexed citations
9.
Wang, Qinan, Yi Sun, Pengfei Song, et al.. (2023). Dynamic residual deep learning with photoelectrically regulated neurons for immunological classification. Cell Reports Physical Science. 4(7). 101481–101481. 2 indexed citations
10.
Xu, Wangying, Shuangmu Zhuo, Qiubao Lin, et al.. (2022). Aqueous Solution-Grown Crystalline Phosphorus Doped Indium Oxide for Thin-Film Transistors Applications. International Journal of Molecular Sciences. 23(21). 12912–12912. 1 indexed citations
11.
Xie, Lingjie, Li Yin, Yina Liu, et al.. (2022). Interface Engineering for Efficient Raindrop Solar Cell. ACS Nano. 16(4). 5292–5302. 65 indexed citations
12.
Yin, Li, Chenguang Liu, Changzeng Ding, et al.. (2022). Functionalized-MXene-nanosheet-doped tin oxide enhances the electrical properties in perovskite solar cells. Cell Reports Physical Science. 3(6). 100905–100905. 39 indexed citations
13.
Xu, Wangying, Yujia Li, Fang Xu, et al.. (2022). Water-Processed Ultrathin Crystalline Indium–Boron–Oxide Channel for High-Performance Thin-Film Transistor Applications. Nanomaterials. 12(7). 1125–1125. 5 indexed citations
14.
Avitabile, Gianfranco, Antonello Florio, Ka Lok Man, & Chun Zhao. (2022). A Long-Term Synchronized System for Healthcare. 191–192. 1 indexed citations
15.
Shen, Zongjie, Chun Zhao, Chun Zhao, et al.. (2021). Artificial Synaptic Performance with Learning Behavior for Memristor Fabricated with Stacked Solution-Processed Switching Layers. ACS Applied Electronic Materials. 3(3). 1288–1300. 32 indexed citations
16.
Chen, Xiaoping, Junyan Li, Yina Liu, et al.. (2021). An Integrated Self-Powered Real-Time Pedometer System with Ultrafast Response and High Accuracy. ACS Applied Materials & Interfaces. 13(51). 61789–61798. 9 indexed citations
17.
Wang, Haibin, Chun Zhao, Li Yin, et al.. (2021). W-doped TiO2 as electron transport layer for high performance solution-processed perovskite solar cells. Applied Surface Science. 563. 150298–150298. 28 indexed citations
18.
Shen, Zongjie, Chun Zhao, Chun Zhao, et al.. (2020). Memristive Non-Volatile Memory Based on Graphene Materials. Micromachines. 11(4). 341–341. 38 indexed citations
19.
Zhao, Chun, Ivona Z. Mitrović, Wangying Xu, et al.. (2020). Comproportionation Reaction Synthesis to Realize High‐Performance Water‐Induced Metal‐Oxide Thin‐Film Transistors. Advanced Electronic Materials. 6(8). 15 indexed citations
20.
Zhao, Chun, Chun Zhao, Ce Zhao, et al.. (2014). Review on Non-Volatile Memory with High-k Dielectrics: Flash for Generation Beyond 32 nm. Materials. 7(7). 5117–5145. 124 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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