Jing Dai

991 citations
40 papers · 754 indexed · h-index 16
Topics
Innovative Microfluidic and Catalytic Techniques Innovation (10 papers)Microfluidic and Capillary Electrophoresis Applications (9 papers)3D Printing in Biomedical Research (8 papers)
Partner nations
ChinaUnited StatesQatar

In The Last Decade

Jing Dai

35 papers receiving 736 citations

Peers

Jing Dai
Comparison fields: 5 of 110
  • Biomedical Engineering 517
  • Electrical and Electronic Engineering 168
  • Molecular Biology 142
  • Biomaterials 118
  • Materials Chemistry 66
Replace Jan Guzowski with:
Jan Guzowski Poland
Janina Bahnemann Germany
Usanee Detamornrat United Kingdom
Congcong Li China
Ellen Cesewski United States
Jongwan Lee South Korea
Yi Qi China
Hanqi Wang China
Shuai Chen China
Jing Dai relative to Jan Guzowski Poland Jan Guzowski's profile →
Citations per field
00.5×1.5×2.2×
Jan Guzowski · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 3
3 19
4 107
5 1
6 52
7 10
8 1
9 10
10 48
11 65
12 57
13 27
14 22
15 1
16 8
17
Modelling of MRD and its application for seismic reduction
1
18 4
19
[Study on temperature measurement and control for microfluidic systems].
2
20 22

About Jing Dai

Jing Dai is a scholar working on Biophysics, Biomedical Engineering and Molecular Medicine, having authored 40 papers that have together received 754 indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (10 papers), Microfluidic and Capillary Electrophoresis Applications (9 papers) and 3D Printing in Biomedical Research (8 papers). The work is most often cited by research in Biomedical Engineering (517 citations), Molecular Medicine (56 citations) and Biomaterials (118 citations). Jing Dai has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Arum Han, Han Zhang, Morgan Hamon, Daniel L. Alge, Shangjing Xin, Can Huang, Sachin Jambovane, Carl A. Gregory, Abhishek Jain and Navaneeth Krishna Rajeeva Pandian. Their work appears in journals such as Advanced Functional Materials, Analytical Chemistry 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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