Yunfei Teng

1.2k citations
19 papers · 1.0k indexed · 1 hit paper · h-index 15

Yunfei Teng

18 papers receiving 1.0k citations

Hit Papers

Nanofluidic logic with mechano–ionic memristive switches69202420262025204060

Peers

Yunfei Teng
Comparison fields: 5 of 63
  • Water Science and Technology 348
  • Biomedical Engineering 650
  • Renewable Energy, Sustainability and the Environment 209
  • Catalysis 86
  • Electrical and Electronic Engineering 447
Replace Tianliang Xiao with:
Tianliang Xiao China
K. W. Wang China
Rahul Shevate Saudi Arabia
Sabir Hussain China
Yunan Lin China
Jingcheng Du China
Jinlei Yang China
Baowei Yuan China
Jaeyoung Hong South Korea
Yunfei Teng relative to Tianliang Xiao China Tianliang Xiao's profile →
Citations per field
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Tianliang Xiao · 1×
Citations per year

Countries citing papers authored by Yunfei Teng

Since Specialization
Citations

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

Fields of papers citing papers by Yunfei Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1
Nanofluidic logic with mechano–ionic memristive switchesbreakdown →
202469
2 20238
3 202314
4 202226
5 202243
6 20210
7 2021112
8 2021145
9 20217
10 202135
11 202183
12 202019
13 202079
14 202034
15 202024
16 2020180
17 201746
18 201796
19 20167

About Yunfei Teng

Yunfei Teng is a scholar working on Biomedical Engineering, Internal Medicine and Water Science and Technology, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (11 papers), Fuel Cells and Related Materials (7 papers), Graphene research and applications (3 papers), Advanced Memory and Neural Computing (3 papers), Membrane Separation Technologies (3 papers), Membrane-based Ion Separation Techniques (3 papers), Catalytic Processes in Materials Science (2 papers) and Covalent Organic Framework Applications (2 papers). The work is most often cited by research in Water Science and Technology (348 citations), Biomedical Engineering (650 citations) and Renewable Energy, Sustainability and the Environment (209 citations). Yunfei Teng has collaborated with scholars based in China, Switzerland and United Kingdom. Frequent co-authors include Liping Wen, Lei Jiang, Xiang‐Yu Kong, Pei Liu, Linsen Yang, Weiwen Xin, Shuhua Hou, Wen‐Tao Ji, Jianjun Chen and Jianjun Chen. Their work appears in journals such as Energy & Environmental Science, CCS Chemistry, Chemical Communications, Applied Catalysis B: Environmental and Small Methods.

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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