Yanlong Tai

428 total citations
23 papers, 321 citations indexed

About

Yanlong Tai is a scholar working on Biomedical Engineering, Polymers and Plastics and Electrical and Electronic Engineering. According to data from OpenAlex, Yanlong Tai has authored 23 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 9 papers in Polymers and Plastics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Yanlong Tai's work include Advanced Sensor and Energy Harvesting Materials (17 papers), Conducting polymers and applications (7 papers) and Nanomaterials and Printing Technologies (6 papers). Yanlong Tai is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (17 papers), Conducting polymers and applications (7 papers) and Nanomaterials and Printing Technologies (6 papers). Yanlong Tai collaborates with scholars based in China, Saudi Arabia and Hong Kong. Yanlong Tai's co-authors include Zhen‐Guo Yang, Dong‐Yu Wang, Yu Chang, Gilles Lubineau, Tushar Kanti Bera, Guanglin Li, Tao Chen, Paschalis Gkoupidenis, Yuanheng Li and Jinlian Hu and has published in prestigious journals such as Langmuir, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Yanlong Tai

19 papers receiving 314 citations

Peers

Yanlong Tai
Comparison fields: 5 of 46
  • Biomedical Engineering 244
  • Electrical and Electronic Engineering 159
  • Polymers and Plastics 105
  • Cognitive Neuroscience 48
  • Materials Chemistry 45
Replace Haotian Guo with:
Haotian Guo China
Yaning Zhou China
Yiming Yin China
Xueliang Xiao China
Myeong Namkoong United States
Arwa T. Kutbee Saudi Arabia
Peixue Jia China
S. Butterworth United Kingdom
Melih Ögeday Çiçek Türkiye
Haotian Guo China View profile →
Citations per field, relative to Yanlong Tai
Yanlong Tai · 1×
Citations per year, relative to Yanlong Tai
Yanlong Tai · 1×

Countries citing papers authored by Yanlong Tai

Since Specialization
Citations

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

Fields of papers citing papers by Yanlong Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanlong Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Yanlong Tai. A scholar is included among the top collaborators of Yanlong Tai 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 Yanlong Tai. Yanlong Tai 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
# Work Indexed citations
1 0
2 4
3 0
4 0
5 6
6 6
7 9
8 7
9 7
10 8
11 12
12 0
13 1
14 3
15 8
16 23
17 19
18 16
19 39
20 72

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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