Yuan Dai

1.8k total citations · 2 hit papers
40 papers, 1.3k citations indexed

About

Yuan Dai is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Yuan Dai has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 15 papers in Electrical and Electronic Engineering and 11 papers in Cognitive Neuroscience. Recurrent topics in Yuan Dai's work include Advanced Sensor and Energy Harvesting Materials (14 papers), Tactile and Sensory Interactions (11 papers) and Physics of Superconductivity and Magnetism (10 papers). Yuan Dai is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (14 papers), Tactile and Sensory Interactions (11 papers) and Physics of Superconductivity and Magnetism (10 papers). Yuan Dai collaborates with scholars based in China, Hong Kong and United States. Yuan Dai's co-authors include Zhengyou Zhang, Chuan Fei Guo, Ningning Bai, Gang Li, Yan Wang, Liu Wang, Junlong Yang, Jianming Zhang, Minkun Cai and Canhui Yang and has published in prestigious journals such as Nature Communications, ACS Nano and Journal of Cleaner Production.

In The Last Decade

Yuan Dai

36 papers receiving 1.3k citations

Hit Papers

Highly stable flexible pressure sensors with a quasi-homo... 2022 2026 2023 2024 2022 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan Dai China 13 1.1k 538 435 274 148 40 1.3k
Xingyu Hou China 11 1.2k 1.0× 520 1.0× 469 1.1× 325 1.2× 149 1.0× 26 1.4k
Bing Ji China 17 1.2k 1.0× 582 1.1× 469 1.1× 277 1.0× 131 0.9× 36 1.3k
Wang Wei Lee China 15 923 0.8× 464 0.9× 299 0.7× 372 1.4× 169 1.1× 25 1.2k
Jun Chang Yang South Korea 15 1.3k 1.2× 637 1.2× 617 1.4× 466 1.7× 104 0.7× 23 1.5k
Martin Zirkl Austria 14 906 0.8× 309 0.6× 549 1.3× 408 1.5× 132 0.9× 32 1.3k
Fali Li China 15 749 0.7× 348 0.6× 305 0.7× 212 0.8× 108 0.7× 22 863
Kyubin Bae South Korea 9 730 0.7× 381 0.7× 273 0.6× 210 0.8× 93 0.6× 19 805
Hyukho Kwon South Korea 4 999 0.9× 349 0.6× 373 0.9× 522 1.9× 102 0.7× 4 1.1k
Abid Ameen United States 11 1.0k 0.9× 334 0.6× 402 0.9× 310 1.1× 129 0.9× 15 1.2k
Matthew T. Flavin United States 7 948 0.8× 297 0.6× 326 0.7× 325 1.2× 168 1.1× 13 1.1k

Countries citing papers authored by Yuan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Dai. A scholar is included among the top collaborators of Yuan 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 Yuan Dai. Yuan 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.
Deng, Jianbin, Yuan Dai, Qijun Zhang, et al.. (2025). Low accumulation crop rotations enhance safe yields and cadmium drawdown in severely polluted farmland. Agriculture Ecosystems & Environment. 399. 110165–110165.
3.
Dai, Yuan, Yaowu Li, Xueqing Tang, et al.. (2025). Colorful transmissive all-solid-state electrochromic devices empowered by optical resonant cavities. Chemical Engineering Journal. 516. 164254–164254.
4.
5.
Deng, Jianbin, Yuan Dai, Jinjin Wang, et al.. (2024). Screening of practical low-accumulating crops in cadmium-polluted farmland: A field survey and field trail in Guangdong Province, China. Journal of Cleaner Production. 486. 144508–144508. 4 indexed citations
6.
Hu, Bifeng, Xiangyu He, Jun Zhou, et al.. (2024). Spatial pattern, source apportionment, and source-oriented health risk quantifying of heavy metals in farmland soils of southern China. Environmental Monitoring and Assessment. 196(11). 1119–1119. 1 indexed citations
7.
8.
Shi, Junli, Yuan Dai, Cheng Yu, et al.. (2023). Embedment of sensing elements for robust, highly sensitive, and cross-talk–free iontronic skins for robotics applications. Science Advances. 9(9). eadf8831–eadf8831. 157 indexed citations breakdown →
9.
Zhao, Huiqi, Yizheng Zhang, Lei Han, et al.. (2023). Intelligent Recognition Using Ultralight Multifunctional Nano-Layered Carbon Aerogel Sensors with Human-Like Tactile Perception. Nano-Micro Letters. 16(1). 11–11. 53 indexed citations
10.
Zhang, Jingfan, Shuai Wang, Yuan Dai, et al.. (2023). Adaptive optimal output regulation for wheel-legged robot Ollie: A data-driven approach. Frontiers in Neurorobotics. 16. 1102259–1102259. 9 indexed citations
11.
Zhang, Yuan, Junlong Yang, Xingyu Hou, et al.. (2022). Highly stable flexible pressure sensors with a quasi-homogeneous composition and interlinked interfaces. Nature Communications. 13(1). 1317–1317. 328 indexed citations breakdown →
12.
Zhao, Zhenxuan, Jianshi Tang, Jian Yuan, et al.. (2022). Large-Scale Integrated Flexible Tactile Sensor Array for Sensitive Smart Robotic Touch. ACS Nano. 16(10). 16784–16795. 85 indexed citations
13.
Liu, Yiming, Chun Ki Yiu, Zhao Zhao, et al.. (2022). Skin-Integrated Haptic Interfaces Enabled by Scalable Mechanical Actuators for Virtual Reality. IEEE Internet of Things Journal. 10(1). 653–663. 15 indexed citations
14.
Li, Dengfeng, Jiahui He, Zhen Song, et al.. (2021). Miniaturization of mechanical actuators in skin-integrated electronics for haptic interfaces. Microsystems & Nanoengineering. 7(1). 85–85. 47 indexed citations
15.
Lü, Peng, Liu Wang, Pang Zhu, et al.. (2021). Iontronic pressure sensor with high sensitivity and linear response over a wide pressure range based on soft micropillared electrodes. Science Bulletin. 66(11). 1091–1100. 196 indexed citations
16.
Wang, Haoyu, Kuanming Yao, Jing‐jing Fu, et al.. (2021). A paradigm shift fully self-powered long-distance wireless sensing solution enabled by discharge-induced displacement current. Science Advances. 7(39). eabi6751–eabi6751. 96 indexed citations
17.
Dai, Yuan, Ahmad Abiri, Omeed Paydar, et al.. (2019). Biaxial sensing suture breakage warning system for robotic surgery. Biomedical Microdevices. 21(1). 10–10. 18 indexed citations
18.
Ma, P., et al.. (2002). Research on high-Tcrf SQUID and its applications. Superconductor Science and Technology. 15(12). 1675–1679. 1 indexed citations
19.
Dai, Yuan, et al.. (1997). Influence of high frequency cut-off on application of hight Tc SQUID in transient electromagnetic method. Physica C Superconductivity. 282-287. 2483–2484. 1 indexed citations
20.
Cui, G.J., Xiangchao Meng, Hai Jiang, et al.. (1987). JOSEPHSON DEVICES FABRICATED WITH HIGH TC YBaCuO THIN FILMS. International Journal of Modern Physics B. 1(2). 541–546. 2 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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