Qing‐Tai Zhao

4.6k total citations
265 papers, 3.7k citations indexed

About

Qing‐Tai Zhao is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Qing‐Tai Zhao has authored 265 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 242 papers in Electrical and Electronic Engineering, 85 papers in Biomedical Engineering and 82 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Qing‐Tai Zhao's work include Semiconductor materials and devices (173 papers), Advancements in Semiconductor Devices and Circuit Design (146 papers) and Nanowire Synthesis and Applications (76 papers). Qing‐Tai Zhao is often cited by papers focused on Semiconductor materials and devices (173 papers), Advancements in Semiconductor Devices and Circuit Design (146 papers) and Nanowire Synthesis and Applications (76 papers). Qing‐Tai Zhao collaborates with scholars based in Germany, France and China. Qing‐Tai Zhao's co-authors include S. Mantl, Dan Buca, Stefan Trellenkamp, Joachim Knoch, St. Lenk, Jean‐Michel Hartmann, Lars Knoll, Dapeng Yu, Hongzhou Zhang and K.K. Bourdelle and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Qing‐Tai Zhao

256 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing‐Tai Zhao Germany 29 3.3k 979 957 849 306 265 3.7k
Sandip Tiwari United States 16 2.5k 0.8× 668 0.7× 1.7k 1.8× 1.0k 1.2× 148 0.5× 76 3.0k
Sudha Mokkapati Australia 31 2.4k 0.7× 2.0k 2.0× 1.3k 1.4× 1.3k 1.5× 447 1.5× 87 3.4k
Eisuke Tokumitsu Japan 32 2.6k 0.8× 586 0.6× 1.8k 1.8× 817 1.0× 415 1.4× 167 3.2k
Mantu K. Hudait United States 33 3.2k 1.0× 983 1.0× 1.2k 1.2× 1.8k 2.1× 277 0.9× 156 3.8k
Myung‐Ho Bae South Korea 26 1.4k 0.4× 871 0.9× 2.1k 2.2× 768 0.9× 300 1.0× 85 3.1k
D. Ritter Israel 31 3.2k 1.0× 525 0.5× 838 0.9× 1.4k 1.7× 123 0.4× 233 3.5k
Dirk König Australia 26 1.7k 0.5× 719 0.7× 1.3k 1.4× 910 1.1× 100 0.3× 92 2.2k
R.A.M. Wolters Netherlands 21 2.0k 0.6× 436 0.4× 1.4k 1.4× 653 0.8× 467 1.5× 102 2.6k
Parag B. Deotare United States 26 1.8k 0.6× 565 0.6× 858 0.9× 1.5k 1.7× 149 0.5× 61 2.4k
Marko Lončar United States 24 1.2k 0.4× 961 1.0× 548 0.6× 1.3k 1.5× 468 1.5× 44 2.2k

Countries citing papers authored by Qing‐Tai Zhao

Since Specialization
Citations

This map shows the geographic impact of Qing‐Tai 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‐Tai 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‐Tai Zhao more than expected).

Fields of papers citing papers by Qing‐Tai Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing‐Tai Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Qing‐Tai Zhao. A scholar is included among the top collaborators of Qing‐Tai 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‐Tai Zhao. Qing‐Tai 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.
Concepción, Omar, Andrea Tomadin, Davide Spirito, et al.. (2024). Room Temperature Lattice Thermal Conductivity of GeSn Alloys. ACS Applied Energy Materials. 7(10). 4394–4401. 12 indexed citations
2.
Han, Yi, Benjamı́n Iñı́guez, Alexander Kloes, et al.. (2024). Roadmap for Schottky barrier transistors. Nano Futures. 8(4). 42001–42001. 5 indexed citations
3.
Darbandy, Ghader, Mike Schwarz, Yi Han, et al.. (2023). Compact modeling of Schottky barrier field-effect transistors at deep cryogenic temperatures. Solid-State Electronics. 207. 108686–108686. 6 indexed citations
4.
Han, Yi, et al.. (2023). Improved performance of FDSOI FETs at cryogenic temperatures by optimizing ion implantation into silicide. Solid-State Electronics. 208. 108733–108733. 3 indexed citations
5.
Yang, Dong, et al.. (2023). Enhanced Device Performance with Vertical SiC Gate-All-Around Nanowire Power MOSFETs. Key engineering materials. 945. 77–82. 2 indexed citations
6.
Grützmacher, Detlev, Omar Concepción, Qing‐Tai Zhao, & Dan Buca. (2023). Si–Ge–Sn alloys grown by chemical vapour deposition: a versatile material for photonics, electronics, and thermoelectrics. Applied Physics A. 129(3). 23 indexed citations
7.
Knoch, Joachim, et al.. (2023). Toward Low‐Power Cryogenic Metal‐Oxide Semiconductor Field‐Effect Transistors. physica status solidi (a). 220(13). 5 indexed citations
8.
Han, Yi, et al.. (2023). Low contact resistance of NiGeSn on n-GeSn. Solid-State Electronics. 211. 108814–108814. 2 indexed citations
9.
Knoch, Joachim, Yi Han, Christoph Jungemann, et al.. (2023). On the Performance of Low Power Cryogenic Electronics for Scalable Quantum Information Processors*. 440–445. 2 indexed citations
10.
Liu, Mingshan, et al.. (2022). Vertical GeSn/Ge Heterostructure Gate-All-Around Nanowire p-MOSFETs. ECS Transactions. 108(5). 83–91. 1 indexed citations
11.
Liu, Mingshan, et al.. (2019). First Demonstration of Vertical Ge 0.92 Sn 0.08 /Ge and Ge GAA Nanowire nMOSFETs with Low SS of 66 mV/dec and Small DIBL of 35 mV/V. IEEE Conference Proceedings. 2019. 1–29. 2 indexed citations
12.
Glass, S., Kimihiko Kato, Jean‐Michel Hartmann, et al.. (2018). A Novel Gate-Normal Tunneling Field-Effect Transistor With Dual-Metal Gate. IEEE Journal of the Electron Devices Society. 6. 1070–1076. 13 indexed citations
13.
Glass, S., Gia Vinh Luong, K. Narimani, et al.. (2017). Experimental Investigation of ${C}$ – ${V}$ Characteristics of Si Tunnel FETs. IEEE Electron Device Letters. 38(6). 818–821. 4 indexed citations
14.
Biswas, Arnab, Gia Vinh Luong, M.F. Chowdhury, et al.. (2017). Benchmarking of Homojunction Strained-Si NW Tunnel FETs for Basic Analog Functions. IEEE Transactions on Electron Devices. 64(4). 1441–1448. 11 indexed citations
15.
Y, Hu, et al.. (2017). Enhanced antitumor efficacy of doxorubicin-encapsulated halloysite nanotubes. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Glass, S., Nils von den Driesch, Sebastiano Strangio, et al.. (2017). Experimental examination of tunneling paths in SiGe/Si gate-normal tunneling field-effect transistors. Applied Physics Letters. 111(26). 6 indexed citations
17.
Saeidi, Ali, Farzan Jazaeri, Igor Stolichnov, et al.. (2017). Negative Capacitance as Performance Booster for Tunnel FETs and MOSFETs: An Experimental Study. IEEE Electron Device Letters. 38(10). 1485–1488. 66 indexed citations
18.
Luong, Gia Vinh, K. Narimani, A. T. Tiedemann, et al.. (2016). Complementary Strained Si GAA Nanowire TFET Inverter With Suppressed Ambipolarity. IEEE Electron Device Letters. 37(8). 950–953. 47 indexed citations
19.
Liu, Qiang, et al.. (2016). sSi/Si(0.5)Ge(0.5)/sSOI量子井戸p‐MOSFETに対するCoulomb散乱の研究【Powered by NICT】. Journal of Semiconductors. 37(9). 4. 1 indexed citations
20.
Zhao, Qing‐Tai, Lars Knoll, Bo Zhang, et al.. (2012). Ultrathin epitaxial Ni-silicide contacts on (1 0 0) Si and SiGe: Structural and electrical investigations. Microelectronic Engineering. 107. 190–195. 8 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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