Yi Dai

428 citations
36 papers · 333 · h-index 10

Impact in

  • Biomaterials top 10%
    • Advanced Cellulose Research Studies
    • Nanocomposite Films for Food Packaging
    • Electrospun Nanofibers in Biomedical Applications
    • Lignin and Wood Chemistry
    • Advanced Sensor and Energy Harvesting Materials

Papers in

Yi Dai

32 papers receiving 327 citations

Peers

Yi Dai
Comparison fields: 5 of 72
  • Biomaterials 93
  • Biomedical Engineering 144
  • Polymers and Plastics 39
  • Renewable Energy, Sustainability and the Environment 36
  • Molecular Medicine 11
Replace Mohamed Amen Hammami with:
Mohamed Amen Hammami United States
Anna Trojanowska Spain
Hyungsup Kim South Korea
Lingshun Sun China
Stefan Breitenbach Austria
Yufang Chen China
Yaohui Cheng China
Giovanna Ruello Italy
Vahid Hasantabar Iran
André Luiz Barros de Oliveira Brazil
Yi Dai relative to Mohamed Amen Hammami United States Mohamed Amen Hammami's profile →
Citations per field
00.5×1.5×2.2×
Mohamed Amen Hammami · 1×
Citations per year

Countries citing papers authored by Yi Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yi Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yi Dai Line = papers co-authored together Yi Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202043
2 202142
3 202041
4 201638
5 202135
6 202015
7 201613
8 202212
9 200912
10 201711
11 20249
12 20227
13 20247
14 20177
15 20205
16 20214
17 20234
18 20194
19 20184
20 20203

About Yi Dai

Yi Dai is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Spectroscopy, Biomaterials and Food Science, having authored 36 papers that have together received 333 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (4 papers), Lignin and Wood Chemistry (4 papers), Advanced Chemical Sensor Technologies (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Neuroscience and Neural Engineering (3 papers), Advanced Cellulose Research Studies (3 papers), Photoreceptor and optogenetics research (3 papers) and Nanocomposite Films for Food Packaging (2 papers). The work is most often cited by research in Biomaterials (93 citations), Biomedical Engineering (144 citations), Polymers and Plastics (39 citations), Renewable Energy, Sustainability and the Environment (36 citations) and Molecular Medicine (11 citations). Yi Dai has collaborated with scholars based in China, United States and Slovakia. Frequent co-authors include Chengrong Qin, Yue Situ, Hong Huang, Cong Gao, Defei Liu, Minghui Du, Shifeng Zhou, Chaoran Ren, Yonghong Deng and Xin‐Sheng Chai. Their work appears in journals such as Journal of Chromatography A, BioResources, Advanced Science, Journal of Separation Science and Chemical Engineering Journal.

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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