S.‐C. Hsu

12.4k total citations
33 papers, 229 citations indexed

About

S.‐C. Hsu is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, S.‐C. Hsu has authored 33 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Nuclear and High Energy Physics, 6 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in S.‐C. Hsu's work include Particle physics theoretical and experimental studies (23 papers), Particle Detector Development and Performance (18 papers) and High-Energy Particle Collisions Research (8 papers). S.‐C. Hsu is often cited by papers focused on Particle physics theoretical and experimental studies (23 papers), Particle Detector Development and Performance (18 papers) and High-Energy Particle Collisions Research (8 papers). S.‐C. Hsu collaborates with scholars based in United States, Taiwan and China. S.‐C. Hsu's co-authors include D. Whiteson, Pierre Baldi, Daniel Guest, Gregor Urban, Alexander Shmakov, Kingman Cheung, M. J. Fenton, Chih-Ting Lu, Scott Hauck and Bo‐Cheng Lai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics Letters B and Journal of High Energy Physics.

In The Last Decade

S.‐C. Hsu

27 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.‐C. Hsu United States 7 167 64 18 16 13 33 229
L. Gouskos Switzerland 3 157 0.9× 58 0.9× 8 0.4× 21 1.3× 9 0.7× 5 197
H. Qu China 6 273 1.6× 108 1.7× 13 0.7× 34 2.1× 9 0.7× 15 348
N. F. Castro Portugal 13 279 1.7× 84 1.3× 33 1.8× 6 0.4× 6 0.5× 38 460
Sascha Diefenbacher Germany 10 252 1.5× 90 1.4× 22 1.2× 6 0.4× 22 1.7× 16 320
Olmo Cerri United States 7 103 0.6× 67 1.0× 13 0.7× 14 0.9× 4 0.3× 9 162
Erik Buhmann Germany 9 227 1.4× 95 1.5× 6 0.3× 15 0.9× 23 1.8× 12 290
Engin Eren Germany 7 210 1.3× 80 1.3× 8 0.4× 6 0.4× 21 1.6× 11 266
V. M. Mikuni United States 13 325 1.9× 166 2.6× 12 0.7× 25 1.6× 16 1.2× 27 420
L. Moneta Switzerland 8 152 0.9× 33 0.5× 13 0.7× 8 0.5× 29 2.2× 43 215
Ramon Winterhalder Germany 7 185 1.1× 73 1.1× 18 1.0× 6 0.4× 8 0.6× 11 233

Countries citing papers authored by S.‐C. Hsu

Since Specialization
Citations

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

Fields of papers citing papers by S.‐C. Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.‐C. Hsu

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

All Works

20 of 20 papers shown
1.
Chen, Yi-Hui, E. E. Khoda, Scott Hauck, et al.. (2025). Low latency transformer inference on FPGAs for physics applications with hls4ml. Journal of Instrumentation. 20(4). P04014–P04014.
2.
Hsu, S.‐C., et al.. (2025). Identifying the quantum properties of hadronic resonances using machine learning. SciPost Physics Core. 8(2). 1 indexed citations
3.
4.
Deiana, A. M., et al.. (2024). Machine learning evaluation in the Global Event Processor FPGA for the ATLAS trigger upgrade. Journal of Instrumentation. 19(5). P05031–P05031. 2 indexed citations
5.
Fenton, M. J., Alexander Shmakov, H. Okawa, et al.. (2024). Reconstruction of unstable heavy particles using deep symmetry-preserving attention networks. Communications Physics. 7(1). 4 indexed citations
6.
Chiang, Cheng-Wei, et al.. (2024). Deep learning to improve the sensitivity of Di-Higgs searches in the 4b channel. Journal of High Energy Physics. 2024(9). 2 indexed citations
7.
Apyan, A., Veena Balakrishnan, J. Berryhill, et al.. (2023). Anomalous production of massive gauge boson pairs at muon colliders. Physical review. D. 108(9). 1 indexed citations
8.
Hsu, S.‐C., et al.. (2023). Research on microstructure and shear strength of Al alloy jointed by sputtered Cu thin film deposited through HiPIMS and DCMS techniques. Surfaces and Interfaces. 39. 102907–102907. 2 indexed citations
9.
Huang, Shi‐Yu, Bo‐Cheng Lai, J. Duarte, et al.. (2023). Low Latency Edge Classification GNN for Particle Trajectory Tracking on FPGAs. 294–298. 1 indexed citations
10.
Khoda, E. E., S.‐C. Hsu, N. Konstantinidis, et al.. (2023). Probing Electroweak Phase Transition at CEPC via Exotic Higgs Decays with 4b Final States. SHILAP Revista de lepidopterología. 2023.
11.
Khoda, E. E., Dylan Rankin, R. Teixeira De Lima, et al.. (2023). Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml. Machine Learning Science and Technology. 4(2). 25004–25004. 8 indexed citations
12.
Ai, X., S.‐C. Hsu, K. Li, & Chih-Ting Lu. (2023). Probing highly collimated photon-jets with deep learning. Journal of Physics Conference Series. 2438(1). 12114–12114. 3 indexed citations
13.
Huang, Shi‐Yu, J. Duarte, Markus Julian Atkinson, et al.. (2022). Graph Neural Networks for Charged Particle Tracking on FPGAs. Frontiers in Big Data. 5. 828666–828666. 22 indexed citations
14.
Schuy, A. J., et al.. (2021). Physics potential for the H$$\rightarrow \hbox {ZZ}^{*}$$ decay at the CEPC. The European Physical Journal C. 81(10). 2 indexed citations
15.
16.
Gabrielli, A., M. Backhaus, G. Balbi, et al.. (2015). Firmware development and testing of the ATLAS Pixel Detector / IBL ROD card. Journal of Instrumentation. 10(3). C03037–C03037. 3 indexed citations
17.
Balbi, G., M. Bindi, D. Falchieri, et al.. (2014). ``The Read-Out Driver'' ROD card for the Insertable B-layer (IBL) detector of the ATLAS experiment: commissioning and upgrade studies for the Pixel Layers 1 and 2. Journal of Instrumentation. 9(1). C01044–C01044. 6 indexed citations
18.
Balbi, G., M. Bindi, D. Falchieri, et al.. (2014). Commissioning of the read-out driver (ROD) card for the ATLAS IBL detector and upgrade studies for the pixel Layers 1 and 2. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 765. 232–234. 1 indexed citations
19.
Hsu, S.‐C.. (2011). Alignment of the ATLAS Inner Detector Tracking System. Nuclear Physics B - Proceedings Supplements. 215(1). 92–94.
20.
Lee, Chen‐Yi, et al.. (1993). VLSI implementation of an M-array image filter based on shift register array. Integration. 16(1). 91–103. 1 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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