Bryan Cheong

1.2k total citations · 1 hit paper
7 papers, 890 citations indexed

About

Bryan Cheong is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Bryan Cheong has authored 7 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Mechanical Engineering, 4 papers in Materials Chemistry and 3 papers in Mechanics of Materials. Recurrent topics in Bryan Cheong's work include Microstructure and mechanical properties (4 papers), Metallurgy and Material Forming (3 papers) and Titanium Alloys Microstructure and Properties (2 papers). Bryan Cheong is often cited by papers focused on Microstructure and mechanical properties (4 papers), Metallurgy and Material Forming (3 papers) and Titanium Alloys Microstructure and Properties (2 papers). Bryan Cheong collaborates with scholars based in United Kingdom and United States. Bryan Cheong's co-authors include Stefano Ermon, Norman Jin, Richard D. Braatz, Patrick K. Herring, Kristen Severson, Todor Markov, Aditya Grover, Muratahan Aykol, William C. Chueh and Zi Yang and has published in prestigious journals such as Nature, Journal of Materials Processing Technology and European Journal of Cell Biology.

In The Last Decade

Bryan Cheong

7 papers receiving 866 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.

Closed-loop optimization of fast-charging protocols for batteries with machine learning

2020 748 citations Peter M. Attia, Aditya Grover et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bryan Cheong United Kingdom	6	597	550	210	138	112	7	890
Markus Meiler Germany	9	1.3k 2.2×	1.3k 2.3×	63 0.3×	105 0.8×	51 0.5×	14	1.5k
Xiaopeng Chen China	12	726 1.2×	701 1.3×	116 0.6×	68 0.5×	28 0.3×	24	958
Teo Lombardo France	16	999 1.7×	867 1.6×	215 1.0×	245 1.8×	14 0.1×	26	1.3k
S. Liu United States	9	585 1.0×	785 1.4×	69 0.3×	58 0.4×	83 0.7×	14	1.1k
Marc Duquesnoy France	12	626 1.0×	522 0.9×	183 0.9×	164 1.2×	7 0.1×	16	840
Xin Gu China	16	801 1.3×	130 0.2×	100 0.5×	174 1.3×	63 0.6×	60	1.0k
Cong Deng China	13	548 0.9×	364 0.7×	52 0.2×	427 3.1×	22 0.2×	49	885
Paul Gasper United States	14	792 1.3×	711 1.3×	124 0.6×	99 0.7×	4 0.0×	37	971
G. Coquery France	18	849 1.4×	490 0.9×	127 0.6×	92 0.7×	17 0.2×	55	1.0k

Countries citing papers authored by Bryan Cheong

Since Specialization

Citations

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

Fields of papers citing papers by Bryan Cheong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Cheong

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

All Works

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7 of 7 papers shown

1.

Attia, Peter M., Aditya Grover, Norman Jin, et al.. (2020). Closed-loop optimization of fast-charging protocols for batteries with machine learning. Nature. 578(7795). 397–402. 748 indexed citations breakdown →

2.

Cheong, Bryan, et al.. (2011). Membrane palmitoylated proteins regulate trafficking and processing of nectins. European Journal of Cell Biology. 90(5). 365–375. 21 indexed citations

3.

Cheong, Bryan, Jianguo Lin, & Alan Ball. (2003). Modelling the effects of grain-size gradients on necking in superplastic forming. Journal of Materials Processing Technology. 134(1). 10–18. 11 indexed citations

4.

Lin, Jianguo, Bryan Cheong, & Xin Yao. (2002). Universal multi-objective function for optimising superplastic-damage constitutive equations. Journal of Materials Processing Technology. 125-126. 199–205. 62 indexed citations

5.

Cheong, Bryan, Jianguo Lin, & Alan Ball. (2001). Modelling of hardening due to grain growth for a superplastic alloy. Journal of Materials Processing Technology. 119(1-3). 361–365. 22 indexed citations

6.

Cheong, Bryan, Jianguo Lin, & Alan Ball. (2001). Effects of grain-size gradients on thinning in superplastic gas-blow forming. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 215(3). 429–433. 1 indexed citations

7.

Cheong, Bryan, Jianguo Lin, & Alan Ball. (2000). Modelling of the hardening characteristics for superplastic materials. The Journal of Strain Analysis for Engineering Design. 35(3). 149–157. 25 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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