Yen‐Shao Su

773 total citations
11 papers, 703 citations indexed

About

Yen‐Shao Su is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Water Science and Technology. According to data from OpenAlex, Yen‐Shao Su has authored 11 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 8 papers in Electrical and Electronic Engineering and 3 papers in Water Science and Technology. Recurrent topics in Yen‐Shao Su's work include Nanopore and Nanochannel Transport Studies (11 papers), Fuel Cells and Related Materials (7 papers) and Membrane-based Ion Separation Techniques (7 papers). Yen‐Shao Su is often cited by papers focused on Nanopore and Nanochannel Transport Studies (11 papers), Fuel Cells and Related Materials (7 papers) and Membrane-based Ion Separation Techniques (7 papers). Yen‐Shao Su collaborates with scholars based in Taiwan, United States and China. Yen‐Shao Su's co-authors include Li‐Hsien Yeh, Zuzanna S. Siwy, Cody Combs, Chih‐Yuan Lin, Mengyao Gao, Fu Chen, Chien‐Wei Chu, Jieyu Yang, Shih‐Chieh Hsu and Shizhi Qian and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Engineering Journal and Journal of Materials Chemistry A.

In The Last Decade

Yen‐Shao Su

11 papers receiving 701 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yen‐Shao Su Taiwan 10 665 368 242 112 65 11 703
Cody Combs United States 3 366 0.6× 224 0.6× 91 0.4× 40 0.4× 63 1.0× 4 414
Subin Sahu United States 5 280 0.4× 149 0.4× 98 0.4× 9 0.1× 135 2.1× 7 330
Arlette Lindheimer France 12 267 0.4× 269 0.7× 78 0.3× 33 0.3× 23 0.4× 18 371
Karen Gerstandt Germany 4 379 0.6× 162 0.4× 268 1.1× 71 0.6× 73 1.1× 4 440
Munan Fang China 7 268 0.4× 162 0.4× 185 0.8× 87 0.8× 163 2.5× 11 419
Shangzhen Li China 9 215 0.3× 144 0.4× 168 0.7× 60 0.5× 103 1.6× 16 380
Dongya Ma China 9 273 0.4× 200 0.5× 215 0.9× 8 0.1× 35 0.5× 14 335
Xinhuai Ye United States 10 138 0.2× 148 0.4× 23 0.1× 93 0.8× 51 0.8× 12 398
Jiapeng Li China 9 280 0.4× 215 0.6× 288 1.2× 21 0.2× 57 0.9× 20 544
George W. Murphy United States 9 167 0.3× 129 0.4× 128 0.5× 14 0.1× 35 0.5× 23 301

Countries citing papers authored by Yen‐Shao Su

Since Specialization
Citations

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

Fields of papers citing papers by Yen‐Shao Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yen‐Shao Su. 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 Yen‐Shao Su. The network helps show where Yen‐Shao Su may publish in the future.

Co-authorship network of co-authors of Yen‐Shao Su

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

All Works

11 of 11 papers shown
1.
Su, Yen‐Shao, et al.. (2023). Understanding the Enhanced Osmotic Energy Conversion in Heterogeneous Membranes Using Engineered Branched Alumina Nanochannel Membranes. Small Science. 4(1). 2300167–2300167. 16 indexed citations
2.
Su, Yen‐Shao, et al.. (2022). A pH gradient induced rectification inversion in asymmetric nanochannels leads to remarkably improved osmotic power. Chemical Engineering Journal. 456. 141064–141064. 54 indexed citations
3.
Chu, Chien‐Wei, et al.. (2021). Space charge enhanced ion transport in heterogeneous polyelectrolyte/alumina nanochannel membranes for high-performance osmotic energy conversion. Journal of Materials Chemistry A. 10(6). 2867–2875. 67 indexed citations
4.
Su, Yen‐Shao, et al.. (2021). Unraveling the anomalous channel-length-dependent blue energy conversion using engineered alumina nanochannels. Nano Energy. 84. 105930–105930. 90 indexed citations
5.
Su, Yen‐Shao, et al.. (2021). Realization of robust mesoscale ionic diodes for ultrahigh osmotic energy generation at mild neutral pH. Journal of Materials Chemistry A. 9(36). 20502–20509. 31 indexed citations
6.
Gao, Mengyao, et al.. (2020). Single Mesopores with High Surface Charges as Ultrahigh Performance Osmotic Power Generators. Small. 16(48). e2006013–e2006013. 57 indexed citations
7.
Lin, Chih‐Yuan, Cody Combs, Yen‐Shao Su, Li‐Hsien Yeh, & Zuzanna S. Siwy. (2019). Rectification of Concentration Polarization in Mesopores Leads To High Conductance Ionic Diodes and High Performance Osmotic Power. Journal of the American Chemical Society. 141(8). 3691–3698. 236 indexed citations
8.
Ma, Yu, Yen‐Shao Su, Shizhi Qian, & Li‐Hsien Yeh. (2017). Analytical model for surface-charge-governed nanochannel conductance. Sensors and Actuators B Chemical. 247. 697–705. 12 indexed citations
9.
Yeh, Li‐Hsien, et al.. (2017). Nanofluidic Power: Anomalous pH‐Dependent Nanofluidic Salinity Gradient Power (Small 48/2017). Small. 13(48). 3 indexed citations
10.
Yeh, Li‐Hsien, et al.. (2017). Anomalous pH‐Dependent Nanofluidic Salinity Gradient Power. Small. 13(48). 98 indexed citations
11.
Zhou, Can, et al.. (2016). Gated ion transport in a soft nanochannel with biomimetic polyelectrolyte brush layers. Sensors and Actuators B Chemical. 229. 305–314. 39 indexed citations

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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