Jing Dai

1.4k total citations · 2 hit papers
40 papers, 1.1k citations indexed

About

Jing Dai is a scholar working on Biomedical Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Jing Dai has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 13 papers in Mechanical Engineering and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Jing Dai's work include Photonic and Optical Devices (9 papers), Hydrogen embrittlement and corrosion behaviors in metals (8 papers) and Corrosion Behavior and Inhibition (7 papers). Jing Dai is often cited by papers focused on Photonic and Optical Devices (9 papers), Hydrogen embrittlement and corrosion behaviors in metals (8 papers) and Corrosion Behavior and Inhibition (7 papers). Jing Dai collaborates with scholars based in China, Mexico and United States. Jing Dai's co-authors include Huabing Li, Zhouhua Jiang, Hao Feng, Kun Wang, Wenbiao Zhang, Songhu Yuan, Peng Liao, Xiaohui Wu, Yang Zhao and Shucai Zhang and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Chemical Engineering Journal.

In The Last Decade

Jing Dai

38 papers receiving 1.1k citations

Hit Papers

Hierarchical piezoelectri... 2024 2026 2024 2025 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Dai China 15 376 355 311 216 197 40 1.1k
Ping Ou China 17 400 1.1× 467 1.3× 153 0.5× 248 1.1× 135 0.7× 46 1.1k
Cecílio Sadao Fugivara Brazil 24 454 1.2× 703 2.0× 261 0.8× 247 1.1× 218 1.1× 64 1.5k
Zhiyuan Feng China 19 256 0.7× 747 2.1× 408 1.3× 497 2.3× 400 2.0× 99 1.7k
Leidong Xie China 20 529 1.4× 460 1.3× 349 1.1× 194 0.9× 203 1.0× 41 1.4k
Pan Liu China 23 399 1.1× 679 1.9× 119 0.4× 110 0.5× 227 1.2× 83 1.6k
Jorge A. Calderón Colombia 25 379 1.0× 727 2.0× 474 1.5× 74 0.3× 695 3.5× 121 1.8k
Zhu Wang China 22 454 1.2× 854 2.4× 200 0.6× 93 0.4× 242 1.2× 51 1.4k
P. Kritzer Germany 17 198 0.5× 364 1.0× 1.1k 3.5× 96 0.4× 220 1.1× 25 1.6k
Mingxiang Liu China 18 311 0.8× 329 0.9× 229 0.7× 74 0.3× 134 0.7× 36 910

Countries citing papers authored by Jing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Dai. A scholar is included among the top collaborators of Jing 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 Jing Dai. Jing 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, Jing, Qian Wang, Yang Chen, et al.. (2025). Effects of sintering temperature on microstructure and mechanical properties of Al–Ni–Sc–Zr alloy fabricated by powder metallurgy. Materials Characterization. 221. 114772–114772. 1 indexed citations
2.
Dai, Jing, et al.. (2025). Implantable and Biodegradable Smart Textiles for Continuous Limb and Gastrointestinal Motility Monitoring. Small. 21(15). e2407773–e2407773. 24 indexed citations breakdown →
3.
Dai, Jing, Hao Feng, Peng‐Chong Lu, et al.. (2025). Composition design of corrosion resistant Fe40Mn40Co10Cr10 HEA by “dissolution-diffusion-deposition” model. Journal of Alloys and Compounds. 1033. 181238–181238.
4.
Dai, Jing, Hao Feng, Huabing Li, et al.. (2025). A novel method to inhibit stress corrosion cracking of corrosion-resistant Ni-base alloy by N addition. Journal of Material Science and Technology. 261. 283–299.
5.
Dai, Jing, Songzhe Xu, Chaoyue Chen, et al.. (2024). A multi-objective optimization based on machine learning for dimension precision of wax pattern in turbine blade manufacturing. Advances in Manufacturing. 12(3). 428–446. 2 indexed citations
6.
Feng, Hao, Jing Dai, Huabing Li, et al.. (2024). Visualizing and quantifying the influence of N-Mo synergy on corrosion resistance of stainless steel by dissolution-diffusion-deposition model. Corrosion Science. 235. 112162–112162. 9 indexed citations
7.
Wang, Jing, Pengjie Wang, Liming Luo, et al.. (2024). Formation and physical properties of casein–gellan gum/Ca2+ gels with interpenetrating polymer network. LWT. 215. 117284–117284. 4 indexed citations
8.
Dai, Jing, Guangzhong Xie, Chunxu Chen, et al.. (2024). Hierarchical piezoelectric composite film for self-powered moisture detection and wearable biomonitoring. Applied Physics Letters. 124(5). 95 indexed citations breakdown →
9.
Feng, Hao, Huabing Li, Jing Dai, et al.. (2022). Why CoCrFeMnNi HEA could not passivate in chloride solution? – A novel strategy to significantly improve corrosion resistance of CoCrFeMnNi HEA by N-alloying. Corrosion Science. 204. 110396–110396. 139 indexed citations
10.
Dai, Jing, et al.. (2022). Autonomous Self-Healing of Highly Stretchable Supercapacitors at All Climates. Nano Letters. 22(15). 6444–6453. 30 indexed citations
11.
We, Zhang, Jing Dai, Chengzhi Li, et al.. (2020). A Review on Explorations of the Oxygen Blast Furnace Process. steel research international. 92(1). 49 indexed citations
12.
Dai, Jing, et al.. (2016). A low-profile, decade bandwidth, tightly-coupled Vivaldi phased array. International Symposium on Antennas and Propagation. 1 indexed citations
13.
Zhang, Minming, Luluzi Lu, Meifeng Li, et al.. (2016). Ultra-flat and broad optical frequency combs generation based on novel dispersion-flattened double-slot microring resonator. Applied Physics B. 122(1). 6 indexed citations
14.
Dai, Jing, et al.. (2015). Highly efficient tunable optical filter based on liquid crystal micro-ring resonator with large free spectral range. Frontiers of Optoelectronics. 9(1). 112–120. 2 indexed citations
15.
Dai, Jing, et al.. (2015). All-optical logic operation of polarized light signals in highly nonlinear silicon hybrid plasmonic microring resonators. Applied Optics. 54(14). 4471–4471. 12 indexed citations
16.
Dai, Jing, et al.. (2014). High-performance and compact polarization-independent grating coupler. OF4A.4–OF4A.4. 3 indexed citations
17.
Liao, Peng, Jing Dai, Xiaohui Wu, et al.. (2013). Adsorption of tetracycline and chloramphenicol in aqueous solutions by bamboo charcoal: A batch and fixed-bed column study. Chemical Engineering Journal. 228. 496–505. 304 indexed citations
18.
Sharma, Yogesh, Moonil Kim, Claude Ahyi, et al.. (2012). Biofunctionalized AlGaN/GaN high electron mobility transistor for DNA hybridization detection. Applied Physics Letters. 100(23). 42 indexed citations
19.
Wang, Yaqi, Yogesh Sharma, Jing Dai, et al.. (2010). AlGaN/GaN HEMT Based Biosensor. ECS Transactions. 28(4). 61–64. 2 indexed citations
20.
Dai, Jing, et al.. (2005). Feature characterization of microfabricated microfluidic chips by PDMS replication and CCD imaging. Analytical and Bioanalytical Chemistry. 381(4). 839–843. 6 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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