Steve Kench

488 total citations · 1 hit paper
10 papers, 326 citations indexed

About

Steve Kench is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Steve Kench has authored 10 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Automotive Engineering, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Mechanical Engineering. Recurrent topics in Steve Kench's work include Additive Manufacturing Materials and Processes (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advancements in Battery Materials (2 papers). Steve Kench is often cited by papers focused on Additive Manufacturing Materials and Processes (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advancements in Battery Materials (2 papers). Steve Kench collaborates with scholars based in United Kingdom, United States and Belgium. Steve Kench's co-authors include Samuel J. Cooper, Katherine Jungjohann, Donal P. Finegan, Ferran Brosa Planella, Scott Alan Roberts, Tony Wauters and Reza Talemi and has published in prestigious journals such as Advanced Energy Materials, ACS Energy Letters and International Journal of Mechanical Sciences.

In The Last Decade

Steve Kench

10 papers receiving 315 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.

Generating three-dimensional structures from a two-dimensional slice with generative adversarial network-based dimensionality expansion

2021 187 citations Steve Kench, Samuel J. Cooper Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steve Kench United Kingdom	7	95	79	65	60	57	10	326
David Turner United States	7	146 1.5×	54 0.7×	123 1.9×	124 2.1×	16 0.3×	10	376
Frank Welkenhuyzen Belgium	10	29 0.3×	83 1.1×	176 2.7×	48 0.8×	28 0.5×	22	526
Zhiyong Duan China	11	48 0.5×	249 3.2×	61 0.9×	15 0.3×	17 0.3×	64	429
Victoria Coverstone United States	12	49 0.5×	40 0.5×	26 0.4×	58 1.0×	35 0.6×	57	439
Zhongyong Liu China	13	49 0.5×	192 2.4×	23 0.4×	26 0.4×	70 1.2×	27	381
Tianyu Huang China	12	98 1.0×	36 0.5×	178 2.7×	122 2.0×	22 0.4×	28	458
Bin Song China	12	180 1.9×	294 3.7×	89 1.4×	37 0.6×	8 0.1×	58	505
V. Mágori Germany	13	49 0.5×	212 2.7×	63 1.0×	189 3.1×	22 0.4×	27	536

Countries citing papers authored by Steve Kench

Since Specialization

Citations

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

Fields of papers citing papers by Steve Kench

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Kench

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

All Works

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10 of 10 papers shown

1.

Kench, Steve, et al.. (2024). Numerical framework for predicting fatigue scatter in additively manufactured parts. International Journal of Mechanical Sciences. 281. 109562–109562. 8 indexed citations

2.

Kench, Steve, et al.. (2024). Fatigue life prediction of electron beam melted micro-sized parts based on regenerated surfaces using machine learning approach. Procedia Structural Integrity. 57. 73–78. 1 indexed citations

3.

Kench, Steve, et al.. (2024). Li-ion battery design through microstructural optimization using generative AI. Matter. 7(12). 4260–4269. 21 indexed citations

4.

Kench, Steve, et al.. (2023). TauFactor 2: A GPU accelerated python tool formicrostructural analysis. The Journal of Open Source Software. 8(88). 5358–5358. 8 indexed citations

5.

Cooper, Samuel J., et al.. (2023). Artefact removal from micrographs with deep learning based inpainting. Digital Discovery. 2(2). 316–326. 3 indexed citations

6.

Kench, Steve, et al.. (2023). Fusion of Complementary 2D and 3D Mesostructural Datasets Using Generative Adversarial Networks (Adv. Energy Mater. 2/2023). Advanced Energy Materials. 13(2). 1 indexed citations

7.

Finegan, Donal P., et al.. (2022). Machine-Learning-Driven Advanced Characterization of Battery Electrodes. ACS Energy Letters. 7(12). 4368–4378. 44 indexed citations

8.

Kench, Steve, et al.. (2022). MicroLib: A library of 3D microstructures generated from 2D micrographs using SliceGAN. Scientific Data. 9(1). 645–645. 26 indexed citations

9.

Kench, Steve, et al.. (2022). Fusion of Complementary 2D and 3D Mesostructural Datasets Using Generative Adversarial Networks. Advanced Energy Materials. 13(2). 27 indexed citations

10.

Kench, Steve & Samuel J. Cooper. (2021). Generating three-dimensional structures from a two-dimensional slice with generative adversarial network-based dimensionality expansion. Nature Machine Intelligence. 3(4). 299–305. 187 indexed citations breakdown →

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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