Mingzhi Dai

1.3k total citations
67 papers, 1.1k citations indexed

About

Mingzhi Dai is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Mingzhi Dai has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Electrical and Electronic Engineering, 24 papers in Materials Chemistry and 15 papers in Biomedical Engineering. Recurrent topics in Mingzhi Dai's work include Thin-Film Transistor Technologies (18 papers), Semiconductor materials and devices (18 papers) and Advanced Memory and Neural Computing (14 papers). Mingzhi Dai is often cited by papers focused on Thin-Film Transistor Technologies (18 papers), Semiconductor materials and devices (18 papers) and Advanced Memory and Neural Computing (14 papers). Mingzhi Dai collaborates with scholars based in China, United States and Taiwan. Mingzhi Dai's co-authors include Bryan D. Vogt, Jeffrey T. La Belle, Lingyan Song, Qing Wan, Hongtao Cao, Lingyan Liang, Hsiao‐Wen Zan, Hsin‐Fei Meng, Hung-Cheng Lin and Yicheng Lu and has published in prestigious journals such as Journal of the American Chemical Society, Nano Letters and Applied Physics Letters.

In The Last Decade

Mingzhi Dai

63 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingzhi Dai China 19 644 482 239 192 139 67 1.1k
Alexandros Ch. Lazanas Greece 8 829 1.3× 423 0.9× 249 1.0× 221 1.2× 254 1.8× 15 1.5k
Stephen Percival United States 19 555 0.9× 263 0.5× 163 0.7× 158 0.8× 43 0.3× 47 1.0k
Xiaoning Ren China 18 411 0.6× 532 1.1× 289 1.2× 147 0.8× 120 0.9× 49 1.1k
Anh Tuấn Thanh Phạm Vietnam 20 610 0.9× 666 1.4× 151 0.6× 84 0.4× 142 1.0× 82 953
Hao Luo China 18 389 0.6× 344 0.7× 131 0.5× 114 0.6× 131 0.9× 64 843
Zhemi Xu Australia 15 487 0.8× 598 1.2× 271 1.1× 123 0.6× 135 1.0× 36 1.1k
Zijing Zhou China 18 328 0.5× 311 0.6× 534 2.2× 238 1.2× 150 1.1× 44 1.0k
Rita Branquinho Portugal 23 1.2k 1.9× 961 2.0× 383 1.6× 378 2.0× 129 0.9× 44 1.8k
Jisun Im United States 17 326 0.5× 344 0.7× 228 1.0× 105 0.5× 107 0.8× 45 756

Countries citing papers authored by Mingzhi Dai

Since Specialization
Citations

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

Fields of papers citing papers by Mingzhi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingzhi Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Mingzhi Dai. A scholar is included among the top collaborators of Mingzhi Dai 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 Mingzhi Dai. Mingzhi Dai 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.
Dai, Mingzhi, et al.. (2025). A review of reversible hydrogenation and dehydrogenation catalysts for liquid organic hydrogen carriers. Catalysis Science & Technology. 15(8). 2440–2449. 4 indexed citations
2.
Dai, Mingzhi, Fangfang Zhao, Xingwei Shi, et al.. (2025). Cultivation and sequencing of microbiota members unveil the functional potential of yak gut microbiota. mSystems. 10(9). e0036725–e0036725.
3.
Chen, Longfei, Mingzhi Dai, Jiong Li, et al.. (2025). Hydroxyl-mediated palladium single-atom catalyst for highly efficient hydrogen storage. Applied Catalysis B: Environmental. 379. 125742–125742. 1 indexed citations
4.
Wu, Jiaxin, Xianliang Meng, Mingzhi Dai, et al.. (2023). Controlling the SAPO-34 Particle Size to Enhance Reaction-Diffusion Behavior for Improving Catalytic Efficiency in the MTO Reaction. Industrial & Engineering Chemistry Research. 62(22). 8684–8695. 8 indexed citations
5.
Zhang, Wei, Pan Gao, Dongxue Han, et al.. (2023). Regulating bimetallic active centers for exploring the structure–activity relationship toward high-performance photocatalytic nitrogen reduction. Materials Today Nano. 22. 100323–100323. 14 indexed citations
6.
Liu, Guanyi, Xiaoyang Zhang, Qitao Liu, et al.. (2023). Multifunctional Multigate One-Transistor with Thin Advanced Materials, Logic-in-Memory, and Artificial Synaptic Behaviors. ACS Applied Materials & Interfaces. 15(48). 55957–55964. 2 indexed citations
7.
Han, Shuai, et al.. (2022). An antifatigue and self-healable ionic polyurethane/ionic liquid composite as the channel layer for a low energy cost synaptic transistor. European Polymer Journal. 174. 111292–111292. 6 indexed citations
8.
Qi, Guoqiang, Weiliang Wang, Han Xiao, et al.. (2020). Modeling and Mechanism of Enhanced Performance of In-Ga-Zn-O Thin-Film Transistors with Nanometer Thicknesses under Temperature Stress. The Journal of Physical Chemistry C. 124(41). 22793–22798. 6 indexed citations
9.
Hu, Yongbin, et al.. (2020). <p>Transparent Nano Thin-Film Transistors for Medical Sensors, OLED and Display Applications</p>. International Journal of Nanomedicine. Volume 15. 3597–3603. 8 indexed citations
10.
Dai, Mingzhi, et al.. (2020). <p>Flexible and Transparent Artificial Synapse Devices Based on Thin-Film Transistors with Nanometer Thickness</p>. International Journal of Nanomedicine. Volume 15. 8037–8043. 13 indexed citations
12.
Chen, Peiqin, Xingye Zhang, Kemin Jiang, et al.. (2019). <p>Change Of Nano Material Electrical Characteristics For Medical System Applications</p>. International Journal of Nanomedicine. Volume 14. 10119–10122. 1 indexed citations
13.
Zhang, Qiuju, Mingzhi Dai, Hezhu Shao, et al.. (2018). Insights into High Conductivity of the Two-Dimensional Iodine-Oxidized sp2-c-COF. ACS Applied Materials & Interfaces. 10(50). 43595–43602. 43 indexed citations
14.
Dai, Mingzhi, et al.. (2012). Mesoporous carbon amperometric glucose sensors using inexpensive, commercial methacrylate-based binders. Analytica Chimica Acta. 738. 27–34. 17 indexed citations
15.
Wu, Guodong, Hongliang Zhang, Liqiang Zhu, et al.. (2012). In-Plane-Gate Oxide-Based Thin-Film Transistors Self-Aligned on Stacked Self-Assembled Monolayer/$\hbox{SiO}_{2}$ Electrolyte Dielectrics. IEEE Electron Device Letters. 33(4). 531–533. 10 indexed citations
16.
Dai, Mingzhi, et al.. (2012). Slow release kinetics of mitoxantrone from ordered mesoporous carbon films. Microporous and Mesoporous Materials. 160. 143–150. 16 indexed citations
17.
Dai, Mingzhi, et al.. (2011). Rapid adsorption of alcohol biofuels by high surface area mesoporous carbons. Microporous and Mesoporous Materials. 148(1). 107–114. 52 indexed citations
18.
Dai, Mingzhi, Jie Jiang, Yue Yang, Guodong Wu, & Qing Wan. (2011). Density-of-State and Trap Modeling of Low-Voltage Electric-Double-Layer TFTs. IEEE Electron Device Letters. 32(4). 512–514. 3 indexed citations
19.
Dai, Mingzhi. (2010). Lifetime Model for Advanced N-Channel Transistor Hot-Carrier-Injection Degradation. IEEE Electron Device Letters. 31(6). 525–527. 4 indexed citations
20.
Shen, Siyuan, et al.. (1985). Effects of anordrin and its analogue on antifertility. Contraception. 32(3). 301–309. 5 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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