Yunsie Chung

1.1k total citations · 1 hit paper
12 papers, 613 citations indexed

About

Yunsie Chung is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Yunsie Chung has authored 12 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 6 papers in Computational Theory and Mathematics and 5 papers in Organic Chemistry. Recurrent topics in Yunsie Chung's work include Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (6 papers) and Chemical Thermodynamics and Molecular Structure (4 papers). Yunsie Chung is often cited by papers focused on Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (6 papers) and Chemical Thermodynamics and Molecular Structure (4 papers). Yunsie Chung collaborates with scholars based in United States, Taiwan and Austria. Yunsie Chung's co-authors include William H. Green, Florence H. Vermeire, Haoyang Wu, Kevin P. Greenman, David Graff, Shih‐Cheng Li, Esther Heid, Charles J. McGill, Pierre J. Walker and Michael H. Abraham and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Engineering Journal and The Journal of Physical Chemistry A.

In The Last Decade

Yunsie Chung

11 papers receiving 598 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Chemprop: A Machine Learning Package for Chemical Property Prediction

2023 250 citations Esther Heid, Kevin P. Greenman et al. Journal of Chemical Information and Modeling profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yunsie Chung United States	8	331	311	137	111	103	12	613
Charles J. McGill United States	7	261 0.8×	230 0.7×	136 1.0×	80 0.7×	60 0.6×	10	477
Lagnajit Pattanaik United States	10	496 1.5×	357 1.1×	139 1.0×	104 0.9×	35 0.3×	12	640
Iiris Kahn Estonia	7	173 0.5×	337 1.1×	109 0.8×	94 0.8×	110 1.1×	12	675
Justin Gilmer United States	8	480 1.5×	285 0.9×	196 1.4×	83 0.7×	46 0.4×	18	742
Ramdas S. Pophale United States	7	437 1.3×	177 0.6×	106 0.8×	68 0.6×	61 0.6×	8	742
Jeremy Henle United States	11	431 1.3×	255 0.8×	152 1.1×	128 1.2×	48 0.5×	14	796
Thomas B. Blank United States	9	368 1.1×	159 0.5×	114 0.8×	210 1.9×	131 1.3×	9	1.0k
Philipp Eiden Germany	8	788 2.4×	895 2.9×	537 3.9×	69 0.6×	71 0.7×	9	1.2k
Connie W. Gao United States	6	353 1.1×	99 0.3×	76 0.6×	179 1.6×	42 0.4×	7	851
Jens Reinisch Germany	13	204 0.6×	93 0.3×	54 0.4×	68 0.6×	71 0.7×	18	440

Countries citing papers authored by Yunsie Chung

Since Specialization

Citations

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

Fields of papers citing papers by Yunsie Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunsie Chung

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

All Works

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12 of 12 papers shown

Chung, Yunsie & William H. Green. (2025). New modified Arrhenius equation to describe the temperature dependence of liquid phase reaction rates. Chemical Engineering Journal. 516. 163300–163300. 7 indexed citations

Chung, Yunsie, et al.. (2025). QComp: A QSAR-Based Imputation Framework for Drug Discovery. Journal of Chemical Information and Modeling. 65(15). 7862–7873.

Adrian, M., Yunsie Chung, & Alan C. Cheng. (2024). Denoising Drug Discovery Data for Improved Absorption, Distribution, Metabolism, Excretion, and Toxicity Property Prediction. Journal of Chemical Information and Modeling. 64(16). 6324–6337. 2 indexed citations

Chung, Yunsie & William H. Green. (2024). Machine learning from quantum chemistry to predict experimental solvent effects on reaction rates. Chemical Science. 15(7). 2410–2424. 15 indexed citations

Chung, Yunsie, et al.. (2023). Predicting Critical Properties and Acentric Factors of Fluids Using Multitask Machine Learning. Journal of Chemical Information and Modeling. 63(15). 4574–4588. 18 indexed citations

Chung, Yunsie & William H. Green. (2023). Computing Kinetic Solvent Effects and Liquid Phase Rate Constants Using Quantum Chemistry and COSMO-RS Methods. The Journal of Physical Chemistry A. 127(27). 5637–5651. 13 indexed citations

Heid, Esther, Kevin P. Greenman, Yunsie Chung, et al.. (2023). Chemprop: A Machine Learning Package for Chemical Property Prediction. Journal of Chemical Information and Modeling. 64(1). 9–17. 250 indexed citations breakdown →

Johnson, Matthew S., Alon Grinberg Dana, Yunsie Chung, et al.. (2022). RMG Database for Chemical Property Prediction. Journal of Chemical Information and Modeling. 62(20). 4906–4915. 88 indexed citations

Chung, Yunsie, Florence H. Vermeire, Haoyang Wu, et al.. (2022). Group Contribution and Machine Learning Approaches to Predict Abraham Solute Parameters, Solvation Free Energy, and Solvation Enthalpy. Journal of Chemical Information and Modeling. 62(3). 433–446. 130 indexed citations

10.

Vermeire, Florence H., Yunsie Chung, & William H. Green. (2022). Predicting Solubility Limits of Organic Solutes for a Wide Range of Solvents and Temperatures. Journal of the American Chemical Society. 144(24). 10785–10797. 66 indexed citations

11.

Chung, Yunsie, Ryan J. Gillis, & William H. Green. (2020). Temperature‐dependent vapor–liquid equilibria and solvation free energy estimation from minimal data. AIChE Journal. 66(6). 23 indexed citations

12.

Chung, Yunsie, J. M. Toguri, & R. Sridhar. (2001). Thermodynamic Properties of Dilute Aluminum in Liquid Zinc. Canadian Metallurgical Quarterly. 40(2). 185–192. 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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