Lyndon Smith

3.0k total citations · 1 hit paper
115 papers, 2.1k citations indexed

About

Lyndon Smith is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Lyndon Smith has authored 115 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 28 papers in Mechanical Engineering and 25 papers in Biomedical Engineering. Recurrent topics in Lyndon Smith's work include Advanced Surface Polishing Techniques (16 papers), Computer Graphics and Visualization Techniques (14 papers) and Cutaneous Melanoma Detection and Management (14 papers). Lyndon Smith is often cited by papers focused on Advanced Surface Polishing Techniques (16 papers), Computer Graphics and Visualization Techniques (14 papers) and Cutaneous Melanoma Detection and Management (14 papers). Lyndon Smith collaborates with scholars based in United Kingdom, Germany and Spain. Lyndon Smith's co-authors include Melvyn Smith, Mark Hansen, Jiuai Sun, Gary A. Atkinson, Bruce Grieve, Emma Baxter, Michael G. Salter, Marianne Farish, Khalid Abdul Jabbar and Rolf Rascher and has published in prestigious journals such as Scientific Reports, Journal of Materials Processing Technology and International Journal of Production Research.

In The Last Decade

Lyndon Smith

103 papers receiving 2.0k 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.

Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective

2022 134 citations Lyndon Smith, Melvyn Smith et al. Computer Methods and Programs in Biomedicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lyndon Smith United Kingdom	26	603	377	326	256	232	115	2.1k
Lie Tang United States	31	262 0.4×	627 1.7×	206 0.6×	1.3k 5.2×	46 0.2×	111	2.7k
Hao Guo China	26	150 0.2×	183 0.5×	89 0.3×	236 0.9×	345 1.5×	107	2.0k
C.P. Schofield United Kingdom	19	408 0.7×	53 0.1×	172 0.5×	132 0.5×	596 2.6×	44	1.5k
Kai Liu China	22	204 0.3×	58 0.2×	265 0.8×	223 0.9×	353 1.5×	151	2.2k
Alex Bewley Australia	11	3.9k 6.5×	128 0.3×	283 0.9×	188 0.7×	87 0.4×	19	5.2k
Huaibo Song China	23	326 0.5×	60 0.2×	127 0.4×	828 3.2×	403 1.7×	65	1.7k
J. Paul Siebert United Kingdom	23	640 1.1×	77 0.2×	200 0.6×	36 0.1×	72 0.3×	84	1.8k
Jun-Wei Hsieh Taiwan	17	2.6k 4.4×	232 0.6×	232 0.7×	349 1.4×	22 0.1×	44	4.2k
Ping-Yang Chen Taiwan	9	2.1k 3.5×	217 0.6×	177 0.5×	343 1.3×	22 0.1×	22	3.5k
Dietrich Paulus Germany	16	2.7k 4.5×	94 0.2×	257 0.8×	122 0.5×	50 0.2×	163	3.7k

Countries citing papers authored by Lyndon Smith

Since Specialization

Citations

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

Fields of papers citing papers by Lyndon Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lyndon Smith

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Baxter, Emma, Marianne Farish, Kenny Rutherford, et al.. (2025). Deep Learning-Based Classification of Stress in Sows Using Facial Images. 390–396.

Smith, Lyndon, et al.. (2023). 3D Machine Vision and Deep Learning for Enabling Automated and Sustainable Assistive Physiotherapy. 1247–1253.

Smith, Lyndon, et al.. (2023). Estimating Water Storage from Images. 3375–3379.

Smith, Lyndon, et al.. (2022). Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective. Computer Methods and Programs in Biomedicine. 220. 106773–106773. 134 indexed citations breakdown →

Persad, Raj, et al.. (2020). NANCY: Combining Adversarial Networks with Cycle-Consistency for Robust Multi-Modal Image Registration. International Journal of Computer and Information Engineering. 14(8). 300–304. 1 indexed citations

Atkinson, Gary A., Lyndon Smith, Melvyn Smith, et al.. (2020). A computer vision approach to improving cattle digestive health by the monitoring of faecal samples. Scientific Reports. 10(1). 17557–17557. 11 indexed citations

Hansen, Mark, et al.. (2019). A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth. GigaScience. 8(5). 63 indexed citations

Ahmad, Jamil, Khan Muhammad, Wakeel Ahmad, et al.. (2018). Visual features based boosted classification of weeds for real-time selective herbicide sprayer systems. Computers in Industry. 98. 23–33. 59 indexed citations

Smith, Lyndon, et al.. (2018). Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field. Computers in Industry. 97. 122–131. 28 indexed citations

10.

Hansen, Mark, Melvyn Smith, Lyndon Smith, Khalid Abdul Jabbar, & David C. Forbes. (2018). Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device. Computers in Industry. 98. 14–22. 94 indexed citations

11.

Hansen, Mark, Lyndon Smith, & Melvyn Smith. (2016). Multispectral contactless 3D handprint acquisition for identification. UWE Research Repository (UWE Bristol). 1 indexed citations

12.

Atkinson, Gary A., et al.. (2013). In vivo measurement of skin microrelief using photometric stereo in the presence of interreflections. Journal of the Optical Society of America A. 30(3). 278–278. 9 indexed citations

13.

Sun, Jiuai, et al.. (2012). Distribution quantification on dermoscopy images for computer-assisted diagnosis of cutaneous melanomas. Medical & Biological Engineering & Computing. 50(5). 503–513. 25 indexed citations

14.

Sun, Jiuai, et al.. (2011). Unsupervised sub‐segmentation for pigmented skin lesions. Skin Research and Technology. 18(1). 77–87. 10 indexed citations

15.

Zhou, Yu, et al.. (2009). Using 3D differential forms to characterize a pigmented lesion in vivo. Skin Research and Technology. 16(1). 77–84. 8 indexed citations

16.

Ding, Yi & Lyndon Smith. (2007). 3D surface texture analysis for early malignant melanoma diagnosis. 431–436.

17.

Smith, Gordon, et al.. (2007). Mathematical modelling of influence functions in computer-controlled polishing: Part I. Applied Mathematical Modelling. 32(12). 2888–2906. 38 indexed citations

18.

Sun, Jiuai, Melvyn Smith, Lyndon Smith, et al.. (2007). Reflectance of human skin using colour photometric stereo: with particular application to pigmented lesion analysis. Skin Research and Technology. 14(2). 173–179. 23 indexed citations

19.

Smith, Gordon, et al.. (2007). Mathematical modelling of influence functions in computer-controlled polishing: Part II. Applied Mathematical Modelling. 32(12). 2907–2924. 35 indexed citations

20.

Smith, Lyndon. (2003). A knowledge-based system for powder metallurgy technology. OpenGrey (Institut de l'Information Scientifique et Technique). 11. 10 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.

Explore authors with similar magnitude of impact