Chun‐Er Lin

23 papers receiving 1.5k citations

Peers

Chun‐Er Lin
Comparison fields: 5 of 53
  • Water Science and Technology 716
  • Automotive Engineering 384
  • Biomedical Engineering 601
  • Surfaces, Coatings and Films 96
  • Electrical and Electronic Engineering 730
Replace Yatao Liu with:
Yatao Liu China
Ruizhang Xu China
Sivasubramaniyan Neelakandan India
Mazrul Nizam Abu Seman Malaysia
Misgina Tilahun Tsehaye France
Shuhao Qin China
Chuangchao Sun China
Yiqun Fan China
Suobo Zhang China
Jianghui Zhao China
Chun‐Er Lin relative to Yatao Liu China Yatao Liu's profile →
Citations per field
00.5×10×15×20×23.5×
Yatao Liu · 1×
Citations per year

Countries citing papers authored by Chun‐Er Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Er Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chun‐Er Lin, 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 Chun‐Er Lin Line = papers co-authored together Chun‐Er Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017195
2 2016152
3 2015113
4 2017103
5 2016102
6 2015100
7 201795
8 201677
9 201771
10 201862
11 201759
12 201856
13 201853
14 201351
15 201847
16 201845
17 201437
18 201824
19 202019
20 202311

About Chun‐Er Lin

Chun‐Er Lin is a scholar working on Water Science and Technology, Electrical and Electronic Engineering, Biomedical Engineering, Automotive Engineering and Mechanical Engineering, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Membrane Separation Technologies (13 papers), Advanced Battery Materials and Technologies (8 papers), Advancements in Battery Materials (8 papers), Advanced Battery Technologies Research (5 papers), Membrane-based Ion Separation Techniques (5 papers), Membrane Separation and Gas Transport (5 papers), Supercapacitor Materials and Fabrication (3 papers) and Nanopore and Nanochannel Transport Studies (3 papers). The work is most often cited by research in Water Science and Technology (716 citations), Automotive Engineering (384 citations), Biomedical Engineering (601 citations), Surfaces, Coatings and Films (96 citations) and Electrical and Electronic Engineering (730 citations). Chun‐Er Lin has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Bao‐Ku Zhu, Mingyong Zhou, Youzhi Song, Zhikan Yao, Jiajia Yuan, Chuyang Y. Tang, Hao Guo, Yin Zhang, Hong Zhang and Li‐Feng Fang. Their work appears in journals such as Journal of Membrane Science, Separation and Purification Technology, Journal of Applied Polymer Science, Journal of Electroanalytical Chemistry and Electrochimica Acta.

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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