Jake Huang

1.4k total citations · 1 hit paper
18 papers, 773 citations indexed

About

Jake Huang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Jake Huang has authored 18 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 13 papers in Materials Chemistry and 6 papers in Automotive Engineering. Recurrent topics in Jake Huang's work include Advancements in Solid Oxide Fuel Cells (10 papers), Fuel Cells and Related Materials (10 papers) and Advanced Battery Technologies Research (6 papers). Jake Huang is often cited by papers focused on Advancements in Solid Oxide Fuel Cells (10 papers), Fuel Cells and Related Materials (10 papers) and Advanced Battery Technologies Research (6 papers). Jake Huang collaborates with scholars based in United States, Germany and China. Jake Huang's co-authors include Ryan O’Hayre, Neal P. Sullivan, Chuancheng Duan, Andriy Zakutayev, Meagan Papac, Long Le, Liuzhen Bian, Liangzhu Zhu, Zheng Zhong and Zilin Yan and has published in prestigious journals such as Journal of Power Sources, Journal of Materials Chemistry A and Electrochimica Acta.

In The Last Decade

Jake Huang

15 papers receiving 747 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.

Proton-conducting oxides for energy conversion and storage

2020 403 citations Chuancheng Duan, Jake Huang et al. Applied Physics Reviews profile →

Peers

Jake Huang

EEE

RESE

CATAL

EOMM

Sebastian Dierickx Germany

Xinfang Jin United States

Matthew J. Robson Hong Kong

Bokkyu Choi Japan

Liangzhu Zhu China

Tam D. Nguyen Singapore

Hohan Bae South Korea

Albert Krügel Germany

Su-Won Yun South Korea

Bihua Hu China

Sebastian Dierickx Germany

Jake Huang

517 ×0.8

416 ×1.0

EEE

190 ×1.5

RESE

84 ×0.7

CATAL

71 ×0.6

EOMM

Citations per year, relative to Jake Huang Jake Huang (= 1×) peers Sebastian Dierickx

Countries citing papers authored by Jake Huang

Since Specialization

Citations

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

Fields of papers citing papers by Jake Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jake Huang

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

All Works

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18 of 18 papers shown

Whang, Grace, et al.. (2025). Probing solid-state battery aging: evaluating calendar vs. cycle aging protocols via time-resolved electrochemical impedance spectroscopy. Journal of Materials Chemistry A. 13(23). 17261–17270.

Huang, Jake, et al.. (2025). Insights on proton‐conducting ceramic electrochemical cell fabrication. Journal of the American Ceramic Society. 108(4). 2 indexed citations

Huang, Jake, Long Le, Zehua Zhou, et al.. (2025). Data-driven insights into protonic-ceramic fuel cell and electrolysis performance. Journal of Materials Chemistry A. 13(15). 10863–10880.

Huang, Jake, et al.. (2024). Towards improved stability in proton-conducting ceramic fuel cells. Journal of Power Sources. 615. 235021–235021. 6 indexed citations

Rand, Peter W., et al.. (2024). Statistical design of experiments for efficient performance characterization of protonic-ceramic electrolysis cells. Journal of Physics Energy. 7(1). 15003–15003.

Huang, Jake, et al.. (2024). Rapid mapping of electrochemical processes in energy-conversion devices. Joule. 8(7). 2049–2072. 30 indexed citations

Whang, Grace, et al.. (2024). Not All Lithium–Indium Counter Electrodes Are Made Equal: Probing the Inhomogeneities and Kinetics of Uniaxially Pressed Li–In Counter Electrodes in All Solid-State Batteries. ACS electrochemistry.. 1(2). 249–262. 4 indexed citations

Papac, Meagan, Jake Huang, Andriy Zakutayev, & Ryan O’Hayre. (2023). Combinatorial impedance spectroscopy with Bayesian analysis for triple ionic-electronic conducting perovskites. Journal of Materials Chemistry A. 11(10). 5267–5278. 9 indexed citations

Huang, Jake, Neal P. Sullivan, Andriy Zakutayev, & Ryan O’Hayre. (2023). How reliable is distribution of relaxation times (DRT) analysis? A dual regression-classification perspective on DRT estimation, interpretation, and accuracy. Electrochimica Acta. 443. 141879–141879. 65 indexed citations

10.

Yan, Zilin, Junwei Wu, Jake Huang, et al.. (2023). Prediction of impedance responses of protonic ceramic cells using artificial neural network tuned with the distribution of relaxation times. Journal of Energy Chemistry. 78. 582–588. 28 indexed citations

11.

Huang, Jake, Charles J. Titus, Rebecca W. Smaha, et al.. (2022). The role of Co valence in charge transport in the entropy‐stabilized oxide (Mg _0.2 Co _0.2 Ni _0.2 Cu _0.2 Zn _0.2 )O. Journal of the American Ceramic Society. 106(2). 1531–1539. 6 indexed citations

12.

Le, Long, et al.. (2022). Proton-conducting ceramics for water electrolysis and hydrogen production at elevated pressure. Frontiers in Energy Research. 10. 30 indexed citations

13.

Le, Long, et al.. (2022). Performance degradation in proton-conducting ceramic fuel cell and electrolyzer stacks. Journal of Power Sources. 537. 231356–231356. 45 indexed citations

14.

Zhu, Liangzhu, Chuancheng Duan, Jake Huang, et al.. (2021). Ammonia-fed reversible protonic ceramic fuel cells with Ru-based catalyst. Communications Chemistry. 4(1). 121–121. 75 indexed citations

15.

Karakaya, Canan, Jake Huang, Christopher A. Cadigan, et al.. (2021). Development, characterization, and modeling of a high-performance Ru/B2CA catalyst for ammonia synthesis. Chemical Engineering Science. 247. 116902–116902. 13 indexed citations

16.

Duan, Chuancheng, Jake Huang, Neal P. Sullivan, & Ryan O’Hayre. (2020). Proton-conducting oxides for energy conversion and storage. Applied Physics Reviews. 7(1). 403 indexed citations breakdown →

17.

Huang, Jake, Meagan Papac, Andriy Zakutayev, & Ryan O’Hayre. (2020). A Bayesian Approach to Autonomous Analysis of Electrochemical Impedance Spectra. ECS Meeting Abstracts. MA2020-02(40). 2508–2508. 1 indexed citations

18.

Huang, Jake, Meagan Papac, & Ryan O’Hayre. (2020). Towards robust autonomous impedance spectroscopy analysis: A calibrated hierarchical Bayesian approach for electrochemical impedance spectroscopy (EIS) inversion. Electrochimica Acta. 367. 137493–137493. 56 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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