Ha-Kyung Kwon

715 total citations · 1 hit paper
19 papers, 474 citations indexed

About

Ha-Kyung Kwon is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Organic Chemistry. According to data from OpenAlex, Ha-Kyung Kwon has authored 19 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 8 papers in Electrical and Electronic Engineering and 3 papers in Organic Chemistry. Recurrent topics in Ha-Kyung Kwon's work include Machine Learning in Materials Science (9 papers), Fuel Cells and Related Materials (6 papers) and Block Copolymer Self-Assembly (4 papers). Ha-Kyung Kwon is often cited by papers focused on Machine Learning in Materials Science (9 papers), Fuel Cells and Related Materials (6 papers) and Block Copolymer Self-Assembly (4 papers). Ha-Kyung Kwon collaborates with scholars based in United States, Switzerland and Germany. Ha-Kyung Kwon's co-authors include Mónica Olvera de la Cruz, Kenneth R. Shull, Rampi Ramprasad, Tran Doan Huan, Jos W. Zwanikken, Ryan P. Lively, Ghanshyam Pilania, Rishi Gurnani, Linda Hung and Emre Firlar and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Macromolecules.

In The Last Decade

Ha-Kyung Kwon

19 papers receiving 462 citations

Hit Papers

align trajectories

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.

Design of functional and sustainable polymers assisted by artificial intelligence

2024 87 citations Tran Doan Huan, Rishi Gurnani et al. Nature Reviews Materials profile →

Peers

Countries citing papers authored by Ha-Kyung Kwon

Since Specialization

Citations

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

Fields of papers citing papers by Ha-Kyung Kwon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ha-Kyung Kwon. 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 Ha-Kyung Kwon. The network helps show where Ha-Kyung Kwon may publish in the future.

Co-authorship network of co-authors of Ha-Kyung Kwon

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

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	A data-driven platform for automated characterization of polymer electrolytes 2025 ·Matter ·(unknown), Jeffrey Lopez, (unknown), Abraham Herzog‐Arbeitman, Ha-Kyung Kwon, (unknown), (unknown), Brian D. Storey, Jeremiah A. Johnson, Yang Shao‐Horn	6
2	De novo design of polymer electrolytes using GPT-based and diffusion-based generative models 2024 ·npj Computational Materials ·Zhenze Yang, Weike Ye, X. L. Lei, (unknown), Ha-Kyung Kwon, Arash Khajeh	24
3	A materials discovery framework based on conditional generative models applied to the design of polymer electrolytes 2024 ·Digital Discovery ·Arash Khajeh, X. L. Lei, Weike Ye, Zhenze Yang, Linda Hung, (unknown), Ha-Kyung Kwon	7
4	In-Situ Characterization of Cathode Catalyst Degradation in PEM Fuel Cells 2024 ·Scientific Data ·Patrick Schneider, (unknown), (unknown), Ha-Kyung Kwon, Brian D. Storey, Dietmar Gerteisen, Nada Zamel	13
5	Autonomous laboratories for accelerated materials discovery: a community survey and practical insights 2024 ·Digital Discovery ·Linda Hung, (unknown), (unknown), (unknown), Ha-Kyung Kwon, Shijing Sun, Santosh K. Suram	13
6	Design of functional and sustainable polymers assisted by artificial intelligence breakdown → 2024 ·Nature Reviews Materials ·Tran Doan Huan, Rishi Gurnani, (unknown), Ghanshyam Pilania, Ha-Kyung Kwon, Ryan P. Lively, Rampi Ramprasad	87
7	A cloud platform for sharing and automated analysis of raw data from high throughput polymer MD simulations 2023 ·SHILAP Revista de lepidopterología ·Tian Xie, Ha-Kyung Kwon, (unknown), Sheng Gong, Arthur France‐Lanord, Arash Khajeh, (unknown), (unknown), (unknown), (unknown), Yang Shao‐Horn, Jeffrey C. Grossman	8
8	What is missing in autonomous discovery: open challenges for the community 2023 ·Digital Discovery ·Phillip M. Maffettone, Pascal Friederich, Sterling G. Baird, Ben Blaiszik, Keith A. Brown, Stuart I. Campbell, (unknown), Rebecca L. Davis, Ian Foster, (unknown), Mark Hereld, Howie Joress, Nicole Jung, Ha-Kyung Kwon, (unknown), (unknown), Casper Steinmann, Luca Torresi, Shijing Sun	24
9	Early Prediction of Ion Transport Properties in Solid Polymer Electrolytes Using Machine Learning and System Behavior-Based Descriptors of Molecular Dynamics Simulations 2023 ·Macromolecules ·Arash Khajeh, (unknown), Steven B. Torrisi, Linda Hung, Brian D. Storey, Ha-Kyung Kwon	15
10	Informatics-Driven Selection of Polymers for Fuel-Cell Applications 2023 ·The Journal of Physical Chemistry C ·Tran Doan Huan, Kuan-Hsuan Shen, (unknown), Ha-Kyung Kwon, Rampi Ramprasad	12
11	Toward autonomous materials research: Recent progress and future challenges 2022 ·Applied Physics Reviews ·Joseph H. Montoya, Muratahan Aykol, Abraham Anapolsky, Chirranjeevi Balaji Gopal, Patrick K. Herring, Jens S. Hummelshøj, Linda Hung, Ha-Kyung Kwon, (unknown), Shijing Sun, Santosh K. Suram, Steven B. Torrisi, Amalie Trewartha, Brian D. Storey	30
12	BEEP: A Python library for Battery Evaluation and Early Prediction 2020 ·SoftwareX ·Patrick K. Herring, Chirranjeevi Balaji Gopal, Muratahan Aykol, Joseph H. Montoya, Abraham Anapolsky, Peter M. Attia, William E. Gent, Jens S. Hummelshøj, Linda Hung, Ha-Kyung Kwon, (unknown), (unknown), Kristen Severson, Santosh K. Suram, Zi Yang, Richard D. Braatz, Brian D. Storey	38
13	Self-Assembly of Charge-Containing Copolymers at the Liquid–Liquid Interface 2019 ·ACS Central Science ·Felipe Jiménez‐Ángeles, Ha-Kyung Kwon, Kazi Sadman, (unknown), Kenneth R. Shull, Mónica Olvera de la Cruz	51
14	Determining the Regimes of Dielectric Mismatch and Ionic Correlation Effects in Ionomer Blends 2019 ·Macromolecules ·Ha-Kyung Kwon, Boran Ma, Mónica Olvera de la Cruz	16
15	Sustained micellar delivery via inducible transitions in nanostructure morphology 2018 ·Nature Communications ·Nicholas B. Karabin, Sean D. Allen, Ha-Kyung Kwon, Sharan Bobbala, Emre Firlar, Tolou Shokuhfar, Kenneth R. Shull, Evan A. Scott	70
16	Solubility and interfacial segregation of salts in ternary polyelectrolyte blends 2017 ·Soft Matter ·Ha-Kyung Kwon, Victor Pryamitsyn, Jos W. Zwanikken, Kenneth R. Shull, Mónica Olvera de la Cruz	7
17	Anomalous Phase Behavior of Ionic Polymer Blends and Ionic Copolymers 2017 ·Macromolecules ·Victor Pryamitsyn, Ha-Kyung Kwon, Jos W. Zwanikken, Mónica Olvera de la Cruz	24
18	Theoretical Analysis of Multiple Phase Coexistence in Polyelectrolyte Blends 2015 ·Macromolecules ·Ha-Kyung Kwon, Jos W. Zwanikken, Kenneth R. Shull, Mónica Olvera de la Cruz	21
19	Polystyrene-poly(2-ethylhexylmethacrylate) block copolymers: Synthesis, bulk phase behavior, and thin film structure 2014 ·Polymer ·Ha-Kyung Kwon, (unknown), (unknown), So Youn Kim, Adam B. Burns, Richard A. Register	8

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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