Steve Kench

11 papers receiving 358 citations

Steve Kench's Hit Papers

Generating three-dimensional structures from a two-dimensional slice with generative adversarial network-based dimensionality expansion 2021 · 219 citations
2190+1+3Years since publication50100150200

Peers

Steve Kench
Comparison fields: 5 of 72
  • Structural Biology 8
  • Automotive Engineering 66
  • Surfaces, Coatings and Films 22
  • Ocean Engineering 42
  • Mechanics of Materials 57
Replace Aaron Spettl with:
Aaron Spettl Germany
He Zhao United States
Max Yi Ren United States
Yaopengxiao Xu United States
Weihua Xue China
Antoine Boniface Switzerland
Jin Haek Yang United States
Davide Bianchi Italy
M. Steven Greene United States
Vinamra Agrawal United States
Steve Kench relative to Aaron Spettl Germany Aaron Spettl's profile →
Citations per field
00.5×2×4×6×7.3×
Aaron Spettl · 1×
Citations per year

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-authors

The 12 scholars most cited alongside Steve Kench, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steve Kench Line = papers co-authored together Steve Kench links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Generating three-dimensional structures from a two-dimensional slice with generative adversarial network-based dimensionality expansion
Hit paper breakdown →
2021219
2 202255
3 202435
4 202230
5 202412
6 202311
7 20234
8 20202
9 20252
10 20242
11 20231

About Steve Kench

Steve Kench is a scholar working on Automotive Engineering, Biophysics, Media Technology, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 373 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Additive Manufacturing Materials and Processes (2 papers), Manufacturing Process and Optimization (2 papers), Advancements in Battery Materials (2 papers), Advanced Battery Technologies Research (2 papers), Image Processing Techniques and Applications (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Structural Biology (8 citations), Automotive Engineering (66 citations), Surfaces, Coatings and Films (22 citations), Ocean Engineering (42 citations) and Mechanics of Materials (57 citations). Steve Kench has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Samuel John Cooper, Katherine Jungjohann, Donal P. Finegan, Ferran Brosa Planella, Scott Alan Roberts, Reza Talemi, Tony Wauters, R. Docherty, Roger C. Reed and Michael J. Mills. Their work appears in journals such as Advanced Energy Materials, Advanced Science, Matter, International Journal of Mechanical Sciences and Nature Machine Intelligence.

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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