Frank Hu

466 total citations
3 papers, 26 citations indexed

About

Frank Hu is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Frank Hu has authored 3 papers receiving a total of 26 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computational Theory and Mathematics, 2 papers in Materials Chemistry and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Frank Hu's work include Machine Learning in Materials Science (2 papers), Computational Drug Discovery Methods (2 papers) and Catalysis and Oxidation Reactions (1 paper). Frank Hu is often cited by papers focused on Machine Learning in Materials Science (2 papers), Computational Drug Discovery Methods (2 papers) and Catalysis and Oxidation Reactions (1 paper). Frank Hu collaborates with scholars based in United States. Frank Hu's co-authors include Hanqing He, Matthew W. Kanan, Thomas E. Markland, Michael S. Chen, David Yaron, Grant M. Rotskoff, Andrés Montoya−Castillo, Tim J. Zuehlsdorff, Christine M. Isborn and Gabriela S. Schlau‐Cohen and has published in prestigious journals such as The Journal of Physical Chemistry Letters, Journal of Chemical Theory and Computation and ACS Central Science.

In The Last Decade

Frank Hu

3 papers receiving 26 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frank Hu United States	3	10	7	7	7	7	3	26
Z. Wu China	3	11 1.1×	7 1.0×	4 0.6×	3 0.4×	2 0.3×	8	27
Akhil Shajan United States	3	6 0.6×	2 0.3×	7 1.0×	2 0.3×	3 0.4×	4	19
Yingze Wang United States	3	26 2.6×	16 2.3×	3 0.4×	9 1.3×	2 0.3×	9	44
Zichen Song United States	1	10 1.0×	3 0.4×	3 0.4×	3 0.4×		3	10
Shi Zhang United States	2	6 0.6×	6 0.9×	2 0.3×	4 0.6×		5	11
Jason Yim United States	3	8 0.8×	19 2.7×		9 1.3×	3 0.4×	6	36
H. Zhou China	3	13 1.3×	18 2.6×	9 1.3×	2 0.3×	1 0.1×	6	42
James R. Gayvert United States	3	5 0.5×	11 1.6×	20 2.9×	1 0.1×	8 1.1×	3	37
Tim Dudgeon United Kingdom	4	10 1.0×	20 2.9×	1 0.1×	12 1.7×	3 0.4×	5	30
Pierre Curie Algeria	2	4 0.4×	3 0.4×	4 0.6×	1 0.1×	4 0.6×	3	13

Countries citing papers authored by Frank Hu

Since Specialization

Citations

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

Fields of papers citing papers by Frank Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Hu

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

All Works

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3 of 3 papers shown

1.

Hu, Frank, Michael S. Chen, Minjung Son, et al.. (2025). Two-Dimensional Electronic Spectroscopy in the Condensed Phase Using Equivariant Transformer Accelerated Molecular Dynamics Simulations. The Journal of Physical Chemistry Letters. 16(22). 5561–5569. 2 indexed citations

2.

Hu, Frank, Michael S. Chen, Grant M. Rotskoff, Matthew W. Kanan, & Thomas E. Markland. (2024). Accurate and Efficient Structure Elucidation from Routine One-Dimensional NMR Spectra Using Multitask Machine Learning. ACS Central Science. 10(11). 2162–2170. 14 indexed citations

3.

Hu, Frank, Hanqing He, & David Yaron. (2023). Treating Semiempirical Hamiltonians as Flexible Machine Learning Models Yields Accurate and Interpretable Results. Journal of Chemical Theory and Computation. 19(18). 6185–6196. 10 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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