Peng Dai

1.3k total citations
45 papers, 982 citations indexed

About

Peng Dai is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Biomedical Engineering. According to data from OpenAlex, Peng Dai has authored 45 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 12 papers in Electronic, Optical and Magnetic Materials and 12 papers in Biomedical Engineering. Recurrent topics in Peng Dai's work include Photonic Crystals and Applications (7 papers), Plasmonic and Surface Plasmon Research (6 papers) and Metamaterials and Metasurfaces Applications (6 papers). Peng Dai is often cited by papers focused on Photonic Crystals and Applications (7 papers), Plasmonic and Surface Plasmon Research (6 papers) and Metamaterials and Metasurfaces Applications (6 papers). Peng Dai collaborates with scholars based in China, United Kingdom and New Zealand. Peng Dai's co-authors include Yasi Wang, Huigao Duan, Yanming Zhou, Yiqin Chen, Zhengmei Yang, Xupeng Zhu, Ruomeng Huang, C.H. de Groot, Zhaogang Zhang and Yueqiang Hu and has published in prestigious journals such as Nature Communications, Chemical Engineering Journal and IEEE Transactions on Industrial Electronics.

In The Last Decade

Peng Dai

39 papers receiving 935 citations

Peers

Peng Dai

EOMM

AMPO

EEE

Chenglong Hao China

Seung‐Won Oh South Korea

Yasi Wang China

Jiangang Lü China

Zhaoyu Zhang China

Jianzhong Zhang China

Taejun Lee South Korea

Xiaojun Zhu China

Xiaoyu Hou China

Giuseppe Emanuele Lio Italy

Chenglong Hao China

Peng Dai

759 ×2.0

EOMM

307 ×1.0

AMPO

497 ×1.7

581 ×2.6

EEE

109 ×0.7

Citations per year, relative to Peng Dai Peng Dai (= 1×) peers Chenglong Hao

Countries citing papers authored by Peng Dai

Since Specialization

Citations

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

Fields of papers citing papers by Peng Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Dai. A scholar is included among the top collaborators of Peng 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 Peng Dai. Peng Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wu, Di, et al.. (2025). Experimental study of diesel engine deposits on failure of honed cylinder liner surface texture. Engineering Failure Analysis. 174. 109476–109476. 4 indexed citations

Dai, Peng, Ning Wang, Jinlong Xiang, et al.. (2025). High-Gain CMOS-Like Inverters Based on F-Plasma-Treated Ambipolar SnO Thin-Film Transistors. IEEE Transactions on Electron Devices. 72(9). 4976–4982.

Dai, Peng, et al.. (2025). Lifetime Prediction of IGBT by BPNN Based on Improved Dung Beetle Optimization Algorithm. IEEE Transactions on Device and Materials Reliability. 25(2). 341–351. 1 indexed citations

Dai, Peng, et al.. (2025). Solution‐Processed Bi ₂ S ₃ Nanostructures for Flexible Memory and Neuromorphic Computing. Advanced Electronic Materials. 11(18).

Dai, Peng, et al.. (2025). High-entropy alloy self-supporting bifunctional electrocatalysts with exceptional performance for flexible zinc–air batteries. Journal of Materials Chemistry A. 13(45). 39382–39392.

Lin, Jin‐Xia, Peng Dai, Shengnan Hu, et al.. (2025). Sulfur defect engineering controls Li2S crystal orientation towards dendrite-free lithium metal batteries. Nature Communications. 16(1). 3130–3130. 3 indexed citations

Dai, Peng, et al.. (2024). Elevating high-temperature insulation performance of silica aerogels enabled by innovative surface-structured opacifiers. Applied Thermal Engineering. 255. 123915–123915. 4 indexed citations

Qian, Bo, et al.. (2024). Numerical simulation and experimental study on mesomechanics properties of particulate composites. Polymer Composites. 45(16). 15276–15292. 1 indexed citations

Hu, Rui, Ali Mujtaba Shah, Jian Ma, et al.. (2024). Proteomics Reveals the Obstruction of Cellular ATP Synthesis in the Ruminal Epithelium of Growth-Retarded Yaks. Animals. 14(8). 1243–1243. 4 indexed citations

10.

Guo, Pengyu, Qi Ao, Wenting Shang, et al.. (2024). Targeting tumour surface collage with hydrogel probe: a new strategy to enhance intraoperative imaging sensitivity and stability of bladder cancer. European Journal of Nuclear Medicine and Molecular Imaging. 51(13). 4165–4176. 1 indexed citations

11.

Guo, Pengyu, Peng Dai, Shenghao Yang, et al.. (2023). Engineered Macrophages Tune Intratumoral Cytokines through Precisely Controlled Self‐Pyroptosis to Enhance Bladder Cancer Immunotherapy. Small. 20(13). e2306699–e2306699. 10 indexed citations

12.

Dai, Peng, Haobijam Johnson Singh, Idris A. Ajia, et al.. (2023). Flexible thin film optical solar reflectors with Ta2O5-based multimaterial coatings for space radiative cooling. APL Photonics. 8(9). 12 indexed citations

13.

Dai, Peng, et al.. (2022). Segmented thermoelectric generator modelling and optimization using artificial neural networks by iterative training. Energy and AI. 12. 100225–100225. 12 indexed citations

14.

Dai, Peng, Kai Sun, Otto L. Muskens, C.H. de Groot, & Ruomeng Huang. (2022). Inverse design of a vanadium dioxide based dynamic structural color via conditional generative adversarial networks. Optical Materials Express. 12(10). 3970–3970. 6 indexed citations

15.

Jaafar, Ayoub H., Li Shao, Peng Dai, et al.. (2022). 3D-structured mesoporous silica memristors for neuromorphic switching and reservoir computing. Nanoscale. 14(46). 17170–17181. 30 indexed citations

16.

Dai, Peng, Yasi Wang, Yueqiang Hu, et al.. (2021). Accurate inverse design of Fabry–Perot-cavity-based color filters far beyond sRGB via a bidirectional artificial neural network. Photonics Research. 9(5). B236–B236. 43 indexed citations

17.

Bi, Kaixi, Huaizhi Liu, Yiqin Chen, et al.. (2019). Short channel monolayer MoS ₂ field-effect transistors defined by SiO _x nanofins down to 20 nm. Nanotechnology. 30(29). 295301–295301. 7 indexed citations

18.

Dai, Peng, Yasi Wang, Xupeng Zhu, et al.. (2018). Transmissive structural color filters using vertically coupled aluminum nanohole/nanodisk array with a triangular-lattice. Nanotechnology. 29(39). 395202–395202. 24 indexed citations

19.

Lu, Guoqing, Peng Dai, & Xia Zhang. (2018). Research on the performance of industrial innovation of small and medium-sized enterprises in China. Econstor (Econstor). 1(2). 284–296. 3 indexed citations

20.

Wang, Yasi, Mengjie Zheng, Qifeng Ruan, et al.. (2018). Stepwise-Nanocavity-Assisted Transmissive Color Filter Array Microprints. Research. 2018. 8109054–8109054. 60 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.

Explore authors with similar magnitude of impact