Tim Hsu

448 total citations
22 papers, 288 citations indexed

About

Tim Hsu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Tim Hsu has authored 22 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 6 papers in Electrical and Electronic Engineering and 3 papers in Molecular Biology. Recurrent topics in Tim Hsu's work include Advancements in Solid Oxide Fuel Cells (11 papers), Machine Learning in Materials Science (8 papers) and Electronic and Structural Properties of Oxides (8 papers). Tim Hsu is often cited by papers focused on Advancements in Solid Oxide Fuel Cells (11 papers), Machine Learning in Materials Science (8 papers) and Electronic and Structural Properties of Oxides (8 papers). Tim Hsu collaborates with scholars based in United States, China and Sweden. Tim Hsu's co-authors include A. Salvador, William K. Epting, Rubayyat Mahbub, Harry Abernathy, Gregory Hackett, Anthony D. Rollett, Brandon C. Wood, Shawn Litster, Tae Wook Heo and James Chapman and has published in prestigious journals such as Nature Communications, Applied Physics Letters and Journal of The Electrochemical Society.

In The Last Decade

Tim Hsu

21 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Hsu United States	11	215	122	32	31	31	22	288
M. L. Green United States	8	236 1.1×	144 1.2×	24 0.8×	51 1.6×	25 0.8×	14	372
Marcus Parry United States	4	254 1.2×	38 0.3×	44 1.4×	81 2.6×	17 0.5×	7	304
E Zhou China	12	186 0.9×	164 1.3×	33 1.0×	19 0.6×	99 3.2×	22	357
James P. Horwath United States	8	136 0.6×	147 1.2×	7 0.2×	18 0.6×	26 0.8×	13	332
Yao Huang China	9	110 0.5×	176 1.4×	58 1.8×	93 3.0×	41 1.3×	37	359
Tengfei Xu China	9	108 0.5×	122 1.0×	14 0.4×	28 0.9×	5 0.2×	28	286

Countries citing papers authored by Tim Hsu

Since Specialization

Citations

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

Fields of papers citing papers by Tim Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Hsu

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

All Works

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20 of 20 papers shown

Sun, Hong, Sébastien Hamel, Tim Hsu, et al.. (2024). Ice Phase Classification Made Easy with Score-Based Denoising. Journal of Chemical Information and Modeling. 64(16). 6369–6376.

Aydin, Fikret, Mark Heimann, Loïc Pottier, et al.. (2024). Generating Protein Structures for Pathway Discovery Using Deep Learning. Journal of Chemical Theory and Computation. 20(20). 8795–8806. 1 indexed citations

Hsu, Tim, Babak Sadigh, Vasily V. Bulatov, & Fei Zhou. (2024). Score Dynamics: Scaling Molecular Dynamics with Picoseconds Time Steps via Conditional Diffusion Model. Journal of Chemical Theory and Computation. 20(6). 2335–2348. 7 indexed citations

Kwon, Hyuna, Tim Hsu, Wenyu Sun, et al.. (2024). Spectroscopy-guided discovery of three-dimensional structures of disordered materials with diffusion models. Machine Learning Science and Technology. 5(4). 45037–45037. 8 indexed citations

Hsu, Tim, Babak Sadigh, Nicolas Bertin, et al.. (2024). Score-based denoising for atomic structure identification. npj Computational Materials. 10(1). 2 indexed citations

Chen, Shaohua, et al.. (2023). Universal and interpretable classification of atomistic structural transitions via unsupervised graph learning. Applied Physics Letters. 123(9). 4 indexed citations

Kwon, Hyuna, Wenyu Sun, Tim Hsu, et al.. (2023). Harnessing Neural Networks for Elucidating X-ray Absorption Structure–Spectrum Relationships in Amorphous Carbon. The Journal of Physical Chemistry C. 127(33). 16473–16484. 10 indexed citations

Chapman, James, Tim Hsu, Xiao Chen, Tae Wook Heo, & Brandon C. Wood. (2023). Quantifying disorder one atom at a time using an interpretable graph neural network paradigm. Nature Communications. 14(1). 4030–4030. 12 indexed citations

Sharma, Shubham, Alexandra Zagalskaya, Stephen E. Weitzner, et al.. (2022). Metal dissolution from first principles: Potential-dependent kinetics and charge transfer. Electrochimica Acta. 437. 141443–141443. 10 indexed citations

10.

Hsu, Tim, Hokon Kim, Jerry Hunter Mason, et al.. (2022). High performance finite element simulations of infiltrated solid oxide fuel cell cathode microstructures. Journal of Power Sources. 541. 231652–231652. 10 indexed citations

11.

Heo, Tae Wook, Bo Wang, Marissa Wood, et al.. (2021). Microstructural impacts on ionic conductivity of oxide solid electrolytes from a combined atomistic-mesoscale approach. npj Computational Materials. 7(1). 42 indexed citations

12.

Mahbub, Rubayyat, Tim Hsu, William K. Epting, et al.. (2021). Quantifying morphological variability and operating evolution in SOFC anode microstructures. Journal of Power Sources. 498. 229846–229846. 12 indexed citations

13.

Hsu, Tim, Rubayyat Mahbub, Jerry Hunter Mason, et al.. (2020). High performance modeling of heterogeneous SOFC electrode microstructures using the MOOSE framework: ERMINE (Electrochemical Reactions in MIcrostructural NEtworks). MethodsX. 7. 100822–100822. 11 indexed citations

14.

Hsu, Tim, Jerry Hunter Mason, Rubayyat Mahbub, et al.. (2020). Distributions of local electrochemistry in heterogeneous microstructures of solid oxide fuel cells using high-performance computations. Electrochimica Acta. 345. 136191–136191. 15 indexed citations

15.

Mahbub, Rubayyat, William K. Epting, Tim Hsu, et al.. (2019). Quantitative Analysis of Multi-Scale Heterogeneities in Complex Electrode Microstructures. Journal of The Electrochemical Society. 167(5). 54506–54506. 9 indexed citations

16.

Hsu, Tim, William K. Epting, Rubayyat Mahbub, et al.. (2018). Mesoscale characterization of local property distributions in heterogeneous electrodes. Journal of Power Sources. 386. 1–9. 35 indexed citations

17.

Yang, Tao, Jian Liu, Harry O. Finklea, et al.. (2018). An efficient approach for prediction of Warburg-type resistance under working currents. International Journal of Hydrogen Energy. 43(32). 15445–15456. 23 indexed citations

18.

Hsu, Tim, Rubayyat Mahbub, William K. Epting, et al.. (2017). Towards Quantification of Local Electrochemical Parameters in Microstructures of Solid Oxide Fuel Cell Electrodes using High Performance Computations. ECS Transactions. 78(1). 2711–2722. 9 indexed citations

19.

Mahbub, Rubayyat, Tim Hsu, William K. Epting, et al.. (2017). A Method for Quantitative 3D Mesoscale Analysis of Solid Oxide Fuel Cell Microstructures Using Xe-plasma Focused Ion Beam (PFIB) Coupled with SEM. ECS Meeting Abstracts. MA2017-03(1). 274–274. 1 indexed citations

20.

Mahbub, Rubayyat, Tim Hsu, William K. Epting, et al.. (2017). A Method for Quantitative 3D Mesoscale Analysis of Solid Oxide Fuel Cell Microstructures Using Xe-plasma Focused Ion Beam (PFIB) Coupled with SEM. ECS Transactions. 78(1). 2159–2170. 15 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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