Weisi Song

745 total citations
14 papers, 587 citations indexed

About

Weisi Song is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Weisi Song has authored 14 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 7 papers in Biomedical Engineering and 4 papers in Materials Chemistry. Recurrent topics in Weisi Song's work include Molecular Junctions and Nanostructures (8 papers), Nanopore and Nanochannel Transport Studies (6 papers) and Quantum Dots Synthesis And Properties (3 papers). Weisi Song is often cited by papers focused on Molecular Junctions and Nanostructures (8 papers), Nanopore and Nanochannel Transport Studies (6 papers) and Quantum Dots Synthesis And Properties (3 papers). Weisi Song collaborates with scholars based in United States, China and Hungary. Weisi Song's co-authors include Stuart Lindsay, Peiming Zhang, Bintian Zhang, Pei Pang, Suman Sen, Brett Gyarfas, Sovan Biswas, Brian Ashcroft, Chad R. Borges and Yanan Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and ACS Nano.

In The Last Decade

Weisi Song

14 papers receiving 583 citations

Peers

Weisi Song
Comparison fields: 5 of 47
  • Electrical and Electronic Engineering 340
  • Biomedical Engineering 302
  • Molecular Biology 199
  • Electrochemistry 121
  • Atomic and Molecular Physics, and Optics 114
Replace Eric N. Ervin with:
Eric N. Ervin United States
Masayuki Furuhashi Japan
Brett Gyarfas United States
Avijit Barik United States
N.J. Geddes United Kingdom
Natalie Kostesha Denmark
Eric Kalman United States
David B. Wells United States
Nicholas Tallarida United States
Eric N. Ervin United States View profile →
Citations per field, relative to Weisi Song
Weisi Song · 1×
Citations per year, relative to Weisi Song
Weisi Song · 1×

Countries citing papers authored by Weisi Song

Since Specialization
Citations

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

Fields of papers citing papers by Weisi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weisi Song

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 27
2 10
3 44
4 29
5 73
6 31
7 17
8 199
9 48
10 44
11 35
12 17
13 12
14 1

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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2026