S. Bae

39.2k total citations
2 papers, 2 citations indexed

About

S. Bae is a scholar working on Civil and Structural Engineering, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, S. Bae has authored 2 papers receiving a total of 2 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Civil and Structural Engineering, 1 paper in Computational Theory and Mathematics and 1 paper in Pharmacology. Recurrent topics in S. Bae's work include Aerosol Filtration and Electrostatic Precipitation (1 paper), Computational Drug Discovery Methods (1 paper) and Engineering Applied Research (1 paper). S. Bae is often cited by papers focused on Aerosol Filtration and Electrostatic Precipitation (1 paper), Computational Drug Discovery Methods (1 paper) and Engineering Applied Research (1 paper). S. Bae collaborates with scholars based in . S. Bae's co-authors include Ji‐Hyun Lee and has published in prestigious journals such as Journal of Chemical Information and Modeling and Journal of the Korean Institute of Electrical and Electronic Material Engineers.

In The Last Decade

S. Bae

0 papers receiving 0 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Bae	1	2	1	1	1	1	2	2
Y. Yang China	2	2 1.0×					4	4
M. Ćwiok Poland	2	2 1.0×					2	3
Alessandra Souza dos Santos Brazil	2						2	2
Christine Blane United Kingdom	2						2	2
I. Rodríguez Cabo Spain	2					1 1.0×	3	3
James Kennard United Kingdom	2						3	2
Maria João Lima Spain	2						6	2
T.A.V. Randriamandrato Madagascar	2						2	2
M. Morgenstern Germany	2						3	3

Countries citing papers authored by S. Bae

Since Specialization

Citations

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

Fields of papers citing papers by S. Bae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Bae

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

All Works

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2 of 2 papers shown

1.

Bae, S., et al.. (2025). SF-Rx: A Multioutput Deep Neural Network-Based Framework Predicting Drug–Drug Interaction under Realistic Conditions for Safe Prescription. Journal of Chemical Information and Modeling. 65(9). 4442–4457.

2.

Bae, S.. (2009). The Characteristics of an Ultrasonic Sprayer by using Piezoelectric Ceramic Resonator. Journal of the Korean Institute of Electrical and Electronic Material Engineers. 22(5). 405–410. 2 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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