Lee J. Wells

36 papers and 717 indexed citations
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About

Lee J. Wells is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Lee J. Wells has authored 36 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics, Probability and Uncertainty, 12 papers in Industrial and Manufacturing Engineering and 10 papers in Mechanical Engineering. Recurrent topics in Lee J. Wells’s work include Advanced Statistical Process Monitoring (11 papers), Industrial Vision Systems and Defect Detection (8 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (8 papers). Lee J. Wells is often cited by papers focused on Advanced Statistical Process Monitoring (11 papers), Industrial Vision Systems and Defect Detection (8 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (8 papers). Lee J. Wells collaborates with scholars based in United States, Egypt and Slovenia. Lee J. Wells's co-authors include Jaime A. Camelio, William H. Woodall, Ahmad E. Elhabashy, Fadel M. Megahed, Christopher B. Williams, Jules White, Byeng D. Youn, Kang Xie, Pablo A. Tarazaga and Rabia Emhamed Al Mamlook and has published in prestigious journals such as The Journal of the Acoustical Society of America, SAE technical papers on CD-ROM/SAE technical paper series and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Co-authorship network of co-authors of Lee J. Wells

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

Fields of papers citing papers by Lee J. Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee J. Wells. 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 Lee J. Wells. The network helps show where Lee J. Wells may publish in the future.

Countries citing papers authored by Lee J. Wells

Since Specialization
Citations

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

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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2026