Yu Dai

931 total citations · 1 hit paper
28 papers, 822 citations indexed

About

Yu Dai is a scholar working on Materials Chemistry, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Yu Dai has authored 28 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 8 papers in Biomedical Engineering and 7 papers in Mechanical Engineering. Recurrent topics in Yu Dai's work include Hydraulic Fracturing and Reservoir Analysis (6 papers), Nanoplatforms for cancer theranostics (6 papers) and Hydrocarbon exploration and reservoir analysis (5 papers). Yu Dai is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (6 papers), Nanoplatforms for cancer theranostics (6 papers) and Hydrocarbon exploration and reservoir analysis (5 papers). Yu Dai collaborates with scholars based in China, British Virgin Islands and Singapore. Yu Dai's co-authors include Fuyou Li, Wei Feng, Qiuhong Wang, Wei Yuan, Qianqian Su, Yun Sun, Chunmiao Han, Yuhao Li, Jiachang Li and Dongpeng Yang and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Functional Materials and Langmuir.

In The Last Decade

Yu Dai

25 papers receiving 798 citations

Hit Papers

Ultrasensitive Near-Infrared Fluorescence-Enhanced Probe ... 2015 2026 2018 2022 2015 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Ultrasensitive Near-Infrared Fluorescence-Enhanced Probe for in Vivo Nitroreductase Imaging
    2015 456 citations Yuhao Li, Yun Sun et al. Journal of the American Chemical Society profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Dai China 10 533 411 214 136 108 28 822
Shixuan Wei China 11 533 1.0× 313 0.8× 296 1.4× 90 0.7× 137 1.3× 14 833
Kenneth S. Hettie United States 12 504 0.9× 442 1.1× 244 1.1× 178 1.3× 70 0.6× 23 890
Jinrong Zheng China 18 393 0.7× 215 0.5× 296 1.4× 159 1.2× 79 0.7× 29 812
Shuyue Ye China 14 566 1.1× 336 0.8× 226 1.1× 74 0.5× 116 1.1× 19 719
Hailey J. Knox United States 9 657 1.2× 295 0.7× 177 0.8× 93 0.7× 47 0.4× 13 847
Lishuai Feng China 9 949 1.8× 872 2.1× 295 1.4× 90 0.7× 138 1.3× 12 1.4k
Rachael A. Day United States 9 461 0.9× 391 1.0× 99 0.5× 80 0.6× 49 0.5× 12 683
Abudureheman Zebibula China 15 1.1k 2.0× 1.0k 2.5× 344 1.6× 168 1.2× 93 0.9× 22 1.5k
Yaping Yuan China 17 260 0.5× 312 0.8× 130 0.6× 179 1.3× 115 1.1× 44 770

Countries citing papers authored by Yu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Dai. A scholar is included among the top collaborators of Yu 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 Yu Dai. Yu 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.
Gu, Yanli, et al.. (2025). High performance chlorine evolution in saturated NaCl solution by protecting metal nano activator. Chemical Engineering Journal. 506. 160175–160175. 2 indexed citations
2.
Gu, Weihua, Yu Dai, & Yanhua Yuan. (2025). Effect of dimethylamine pyrophosphate on the mechanical, thermal decomposition and flame-retardant properties of rigid polyurethane foams. International Journal of Polymer Analysis and Characterization. 30(3). 241–254.
3.
Dai, Yu, Xiuyun Zhao, Qingrui Zhao, et al.. (2024). Constructing highly efficient bifunctional catalysts for oxygen reduction and oxygen evolution by modifying MXene with transition metal. Journal of Colloid and Interface Science. 660. 628–636. 14 indexed citations
4.
5.
Dai, Yu, Gang Li, Xin Li, et al.. (2023). Enhanced Catalytical and Photothermal Behavior Derived from Self‐Assembly Microsuperlattices of Cu1.8S for Laser Ignition. Advanced Engineering Materials. 25(4). 1 indexed citations
6.
Dai, Yu, Guansong He, Long Sheng, et al.. (2023). Precise Tailoring of Mesoporous Silica-Coated Gold Nanorods for Laser Ignition at 1064 nm. ACS Applied Nano Materials. 6(6). 4946–4956. 7 indexed citations
7.
Chen, Xin, Yu Dai, Hui Zhang, & Xiuyun Zhao. (2023). Revealing the steric effects of cobalt porphyrin on the selectivity of oxygen reduction reaction. Colloids and Surfaces A Physicochemical and Engineering Aspects. 663. 131091–131091. 16 indexed citations
8.
9.
Dai, Yu, Gang Li, Xin Li, et al.. (2022). Enhanced Catalytical and Photothermal Behavior Derived from Self‐Assembly Microsuperlattices of Cu1.8S for Laser Ignition. Advanced Engineering Materials. 25(4). 2 indexed citations
10.
Dai, Yu. (2022). Developing multivariate adaptive regression splines model for predicting the undrained shear strength of clayey soil from cone penetration test data. Multiscale and Multidisciplinary Modeling Experiments and Design. 5(3). 215–224. 1 indexed citations
11.
Dai, Yu, et al.. (2021). Successful Drilling Campaign of High Angled Wells in Tight Gas Fields using 3D Geomechanical Modeling and Real-Time Monitoring. SPE/IADC Middle East Drilling Technology Conference and Exhibition. 1 indexed citations
12.
13.
Zhao, Lingzhi, Wei Yuan, Huijun Phoebe Tham, et al.. (2017). Fast‐Clearable Nanocarriers Conducting Chemo/Photothermal Combination Therapy to Inhibit Recurrence of Malignant Tumors. Small. 13(29). 63 indexed citations
14.
Hong, Zhang, et al.. (2016). Calculation and analysis of casing thermal stress during stimulated reservoir volume fracturing. 23(5). 673–675. 1 indexed citations
15.
Zhao, Lingzhi, Wei Yuan, Chung Yen Ang, et al.. (2016). Silica–Polymer Hybrid with Self‐Assembled PEG Corona Excreted Rapidly via a Hepatobiliary Route. Advanced Functional Materials. 26(18). 3036–3047. 50 indexed citations
16.
17.
Li, Yuhao, Yun Sun, Jiachang Li, et al.. (2015). Ultrasensitive Near-Infrared Fluorescence-Enhanced Probe for in Vivo Nitroreductase Imaging. Journal of the American Chemical Society. 137(19). 6407–6416. 456 indexed citations breakdown →
18.
Dai, Yu, et al.. (2010). The evolution of spiral waves in inhomogeneous excitable media. Acta Physica Sinica. 59(9). 5979–5979. 5 indexed citations
19.
Dai, Yu. (2003). The CFD Analysis of Oscillatory Tube Equipped With Compound Damps. 2 indexed citations
20.
Dai, Yu. (2000). An Equivalent Circuit Model of the Multiphase Transmission Lines Affected by the Corona. 1 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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