Wen‐Peng Lin

954 citations
9 papers · 865 indexed · 1 hit paper · h-index 9
Topics
Amino Acid Enzymes and Metabolism (2 papers)Metabolomics and Mass Spectrometry Studies (2 papers)Conducting polymers and applications (2 papers)
Partner nations
TaiwanChinaSingapore

In The Last Decade

Wen‐Peng Lin

9 papers receiving 858 citations

Hit Papers

Polymer‐Based Resistive Memory Materials and Devices20132026201720212013100200300400

Peers

Wen‐Peng Lin
Comparison fields: 5 of 73
  • Electrical and Electronic Engineering 581
  • Polymers and Plastics 360
  • Materials Chemistry 187
  • Molecular Biology 141
  • Cellular and Molecular Neuroscience 139
Replace Sang Kwon Lee with:
Sang Kwon Lee South Korea
Jiacheng He China
Eric G.B. Evans United States
Keke Hu China
Ran Yang China
Yi‐Tong Xu China
Ming Shi China
Mahmood Hassan Akhtar China
Tomás C. O’Riordan Ireland
Du Tuo China
Wen‐Peng Lin relative to Sang Kwon Lee South Korea Sang Kwon Lee's profile →
Citations per field
00.5×4.0×
Sang Kwon Lee · 1×
Citations per year

Countries citing papers authored by Wen‐Peng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Peng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Peng Lin. 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 Wen‐Peng Lin. The network helps show where Wen‐Peng Lin may publish in the future.

Co-authorship network of co-authors of Wen‐Peng Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Peng Lin. A scholar is included among the top collaborators of Wen‐Peng Lin 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 Wen‐Peng Lin. Wen‐Peng Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 33
2
Polymer‐Based Resistive Memory Materials and Devicesbreakdown →
463
3 187
4 31
5 48
6 25
7 38
8 10
9 30

About Wen‐Peng Lin

Wen‐Peng Lin is a scholar working on Biochemistry, Bioengineering and Microbiology, having authored 9 papers that have together received 865 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Polymers and Plastics (360 citations), Electrical and Electronic Engineering (581 citations) and Cellular and Molecular Neuroscience (139 citations). Wen‐Peng Lin has collaborated with scholars based in Taiwan, China and Singapore. Frequent co-authors include Wei Huang, Qiang Zhao, Shujuan Liu, Tao Gong, Hauh‐Jyun Candy Chen, Peng Wang, Hui Ying Yang, Xiaochen Dong, Huibin Sun and Yi‐Ching Wang. Their work appears in journals such as Advanced Materials, Analytical Chemistry and Chemical Research in Toxicology.

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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