Yuda Zhao

5.2k total citations · 2 hit papers
73 papers, 4.3k citations indexed

About

Yuda Zhao is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Yuda Zhao has authored 73 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Materials Chemistry, 41 papers in Electrical and Electronic Engineering and 15 papers in Biomedical Engineering. Recurrent topics in Yuda Zhao's work include 2D Materials and Applications (37 papers), Graphene research and applications (29 papers) and MXene and MAX Phase Materials (20 papers). Yuda Zhao is often cited by papers focused on 2D Materials and Applications (37 papers), Graphene research and applications (29 papers) and MXene and MAX Phase Materials (20 papers). Yuda Zhao collaborates with scholars based in China, Hong Kong and France. Yuda Zhao's co-authors include Yang Chai, Shu Ping Lau, Paolo Samorı́, Kang Xu, Ziyuan Lin, Wei Ji, Jingsi Qiao, Zheng Liu, Peng Yu and Changjian Zhou and has published in prestigious journals such as Chemical Reviews, Chemical Society Reviews and Advanced Materials.

In The Last Decade

Yuda Zhao

71 papers receiving 4.2k citations

Hit Papers

High‐Electron‐Mobility and Air‐Stable 2D Layered PtSe2 FETs 2016 2026 2019 2022 2016 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuda Zhao China 29 3.2k 2.2k 974 795 524 73 4.3k
Woong‐Ki Hong South Korea 35 3.0k 0.9× 2.4k 1.1× 1.2k 1.3× 710 0.9× 563 1.1× 113 4.1k
Myung Gwan Hahm South Korea 28 2.6k 0.8× 2.3k 1.1× 1.1k 1.1× 966 1.2× 562 1.1× 77 3.9k
Shengxue Yang China 35 4.1k 1.3× 3.0k 1.4× 810 0.8× 680 0.9× 499 1.0× 74 5.1k
Zhibin Yang China 30 3.7k 1.2× 2.1k 1.0× 911 0.9× 727 0.9× 364 0.7× 66 4.5k
Haiyan Nan China 30 4.7k 1.5× 3.0k 1.4× 1.0k 1.1× 566 0.7× 268 0.5× 96 5.5k
Weijin Hu China 30 3.7k 1.2× 3.1k 1.4× 833 0.9× 1.8k 2.2× 659 1.3× 79 5.5k
Sivacarendran Balendhran Australia 35 3.9k 1.2× 2.8k 1.3× 815 0.8× 689 0.9× 1.2k 2.3× 68 5.4k
Rong Yang China 29 3.1k 1.0× 2.0k 1.0× 1.5k 1.5× 426 0.5× 451 0.9× 75 4.4k
Cheng Han China 33 4.2k 1.3× 2.9k 1.4× 782 0.8× 442 0.6× 440 0.8× 96 5.2k
Alexey Lipatov United States 29 4.7k 1.5× 2.6k 1.2× 1.4k 1.5× 1.0k 1.3× 238 0.5× 84 5.5k

Countries citing papers authored by Yuda Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Yuda Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuda Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuda Zhao. A scholar is included among the top collaborators of Yuda 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 Yuda Zhao. Yuda 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.
Wang, Hailiang, Yuda Zhao, Yang Xu, et al.. (2025). Self‐Compliant, Variation‐Suppressed Memristor Implemented with Carbon Nanotube/hBN/Silver Nanowire Cross‐Point Structure. Advanced Functional Materials. 35(25). 4 indexed citations
2.
Tian, Feng, Shaoxiong Wu, Xinyu Liu, et al.. (2025). High quantum efficiency ultraviolet photodetector based on graphene and truncated silicon nanocones. Science China Information Sciences. 68(4). 1 indexed citations
3.
Zhang, Cheng, Yan Wu, Yiqi Chen, et al.. (2025). Temporal Adaptivity Enabled High‐Efficiency In‐Sensor Reservoir Computing Based on MoS2 Phototransistors. Small. e05217–e05217. 1 indexed citations
4.
Wang, Yufan, Tianjiao Zhang, Cheng Zhang, et al.. (2025). Boosting responsivity and speed in 2D material based vertical p-i-n photodiodes with excellent self-powered ability. Nature Communications. 16(1). 5824–5824. 4 indexed citations
5.
Zhang, Zhixiang, et al.. (2025). Hexagonal Boron Nitride Memristor with Ultralow Operating Voltage Enabled by Noninvasive vdWs Electrode. ACS Materials Letters. 7(7). 2574–2579.
6.
Zhang, Yishu, Hailiang Wang, Yu Fu, et al.. (2024). All-2D-Materials Subthreshold-Free Field-Effect Transistor with Near-Ideal Switching Slope. ACS Nano. 18(31). 20236–20246. 9 indexed citations
7.
Wu, Yuyang, Tianjiao Zhang, Bicheng Li, et al.. (2024). Stacking selected polarization switching and phase transition in vdW ferroelectric α-In2Se3 junction devices. Nature Communications. 15(1). 10481–10481. 25 indexed citations
8.
Zhang, Tianjiao, Yang Xu, Bin Yu, et al.. (2024). Integrating Image Perception and Time‐to‐First‐Spike Coding in MoS2 Phototransistors for Spiking Neural Network. Advanced Functional Materials. 34(30). 9 indexed citations
9.
Li, Hanxi, Yishu Zhang, Jiachao Zhou, et al.. (2024). Single‐Transistor Optoelectronic Spiking Neuron with Optogenetics‐Inspired Spatiotemporal Dynamics. Advanced Functional Materials. 34(22). 16 indexed citations
10.
Chen, Haohan, Yu Kang, Dong Pu, et al.. (2023). Introduction of defects in hexagonal boron nitride for vacancy-based 2D memristors. Nanoscale. 15(9). 4309–4316. 34 indexed citations
11.
Bodepudi, Srikrishna Chanakya, Hongwei Guo, Khurram Shehzad, et al.. (2023). Graphene Field-Effect-Coupled Detection of Avalanche Multiplication in Silicon. IEEE Transactions on Electron Devices. 70(5). 2370–2377. 5 indexed citations
12.
Bodepudi, Srikrishna Chanakya, Hongwei Guo, Khurram Shehzad, et al.. (2023). Graphene Channel Electron-Multiplying Charge-Coupled Pixel. IEEE Access. 11. 37424–37436. 1 indexed citations
13.
Bodepudi, Srikrishna Chanakya, Dong Pu, Xinyu Zhu, et al.. (2023). Current crowding in graphene–silicon schottky diodes. Nanotechnology. 34(29). 295201–295201. 1 indexed citations
14.
Xu, Yang, Li Chen, Peng Li, et al.. (2023). Broadband Graphene-Silicon Integrated Imagers. 4. 1–3. 1 indexed citations
15.
Wang, Jingli, Jingsi Qiao, Kang Xu, et al.. (2020). Quasi one-dimensional van der Waals gold selenide with strong interchain interaction and giant magnetoresistance. Science Bulletin. 65(17). 1451–1459. 10 indexed citations
17.
Yan, Keyou, Zhanhua Wei, Tiankai Zhang, et al.. (2016). Near‐Infrared Photoresponse of One‐Sided Abrupt MAPbI3/TiO2 Heterojunction through a Tunneling Process. Advanced Functional Materials. 26(46). 8545–8554. 24 indexed citations
18.
Zhou, Changjian, Yuda Zhao, Salahuddin Raju, et al.. (2016). Carrier Type Control of WSe2 Field‐Effect Transistors by Thickness Modulation and MoO3 Layer Doping. Advanced Functional Materials. 26(23). 4223–4230. 190 indexed citations
19.
Lin, Ziyuan, Yuda Zhao, Changjian Zhou, et al.. (2015). Controllable Growth of Large–Size Crystalline MoS2 and Resist-Free Transfer Assisted with a Cu Thin Film. Scientific Reports. 5(1). 18596–18596. 181 indexed citations
20.
Zhao, Yuda, Xin Liu, Dangyuan Lei, & Yang Chai. (2013). Effects of surface roughness of Ag thin films on surface-enhanced Raman spectroscopy of graphene: spatial nonlocality and physisorption strain. Nanoscale. 6(3). 1311–1317. 115 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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