Dan-Liang Wen

1.1k citations
21 papers · 939 indexed · h-index 15
Topics
Advanced Sensor and Energy Harvesting Materials (20 papers)Conducting polymers and applications (14 papers)Tactile and Sensory Interactions (7 papers)
Journals
SHILAP Revista de lepidopterologíaApplied Physics LettersLangmuir
Partner nations
ChinaJapanSwitzerland

In The Last Decade

Dan-Liang Wen

21 papers receiving 916 citations

Peers

Dan-Liang Wen
Comparison fields: 5 of 67
  • Biomedical Engineering 769
  • Polymers and Plastics 430
  • Electrical and Electronic Engineering 213
  • Cognitive Neuroscience 183
  • Biomaterials 175
Replace Xianzhang Shi with:
Xianzhang Shi China
Wei-Zhi Song China
Jiahe Liao United States
Yunsik Ohm United States
Zijie Xu China
Yujang Cho South Korea
Chuanqian Shi China
Sung Cik Mun South Korea
Mingkun Li China
Dan-Liang Wen relative to Xianzhang Shi China Xianzhang Shi's profile →
Citations per field
00.5×1.5×2.5×
Xianzhang Shi · 1×
Citations per year

Countries citing papers authored by Dan-Liang Wen

Since Specialization
Citations

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

Fields of papers citing papers by Dan-Liang Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan-Liang Wen. 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 Dan-Liang Wen. The network helps show where Dan-Liang Wen may publish in the future.

Co-authorship network of co-authors of Dan-Liang Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Dan-Liang Wen. A scholar is included among the top collaborators of Dan-Liang Wen 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 Dan-Liang Wen. Dan-Liang Wen 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 35
2 5
3 22
4 26
5 20
6 5
7 13
8 27
9 12
10 87
11 39
12 7
13 186
14 68
15 39
16 12
17 40
18 103
19 29
20 142

About Dan-Liang Wen

Dan-Liang Wen is a scholar working on Polymers and Plastics, Biomedical Engineering and Cognitive Neuroscience, having authored 21 papers that have together received 939 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (20 papers), Conducting polymers and applications (14 papers) and Tactile and Sensory Interactions (7 papers). The work is most often cited by research in Polymers and Plastics (430 citations), Biomedical Engineering (769 citations) and Biomaterials (175 citations). Dan-Liang Wen has collaborated with scholars based in China, Japan and Switzerland. Frequent co-authors include Xiaosheng Zhang, Haitao Deng, Peng Huang, Xin-Ran Zhang, Juergen Brügger, Yilin Wang, Beomjoon Kim, Haixia Zhang, Mengdi Han and Xin Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Langmuir.

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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