Ted W. Way

716 total citations
11 papers, 522 citations indexed

About

Ted W. Way is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Ted W. Way has authored 11 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Artificial Intelligence. Recurrent topics in Ted W. Way's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Medical Imaging Techniques and Applications (4 papers). Ted W. Way is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Medical Imaging Techniques and Applications (4 papers). Ted W. Way collaborates with scholars based in United States. Ted W. Way's co-authors include Heang‐Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Ella A. Kazerooni, Philip N. Cascade, Naama Bogot, Chuan Zhou, Aamer Chughtai, Mitchell M. Goodsitt and Emmanuel Christodoulou and has published in prestigious journals such as Physics in Medicine and Biology, Medical Physics and Academic Radiology.

In The Last Decade

Ted W. Way

11 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ted W. Way United States 9 430 325 162 87 57 11 522
Kaman Chung Netherlands 9 345 0.8× 288 0.9× 132 0.8× 46 0.5× 52 0.9× 12 478
Joanne Hoffman United States 5 259 0.6× 147 0.5× 126 0.8× 97 1.1× 98 1.7× 7 415
Simon Köhl Germany 7 418 1.0× 315 1.0× 147 0.9× 90 1.0× 111 1.9× 11 585
Xiuyuan Xu China 13 304 0.7× 219 0.7× 129 0.8× 40 0.5× 33 0.6× 27 419
José Raniery Ferreira Brazil 12 382 0.9× 221 0.7× 146 0.9× 103 1.2× 51 0.9× 29 554
Shonket Ray United States 7 278 0.6× 201 0.6× 138 0.9× 93 1.1× 20 0.4× 14 373
Dooman Arefan United States 14 418 1.0× 138 0.4× 273 1.7× 57 0.7× 42 0.7× 43 597
Rikke Rass Winkel Denmark 5 216 0.5× 176 0.5× 281 1.7× 41 0.5× 61 1.1× 6 425
Anup Sadhu India 12 209 0.5× 123 0.4× 154 1.0× 39 0.4× 127 2.2× 40 404

Countries citing papers authored by Ted W. Way

Since Specialization
Citations

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

Fields of papers citing papers by Ted W. Way

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ted W. Way. 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 Ted W. Way. The network helps show where Ted W. Way may publish in the future.

Co-authorship network of co-authors of Ted W. Way

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

All Works

11 of 11 papers shown
1.
Way, Ted W., Berkman Sahiner, Lubomir M. Hadjiiski, & Heang‐Ping Chan. (2010). Effect of finite sample size on feature selection and classification: A simulation study. Medical Physics. 37(2). 907–920. 57 indexed citations
2.
Chan, Heang‐Ping, Yi‐Ta Wu, Berkman Sahiner, et al.. (2010). Characterization of masses in digital breast tomosynthesis: Comparison of machine learning in projection views and reconstructed slices. Medical Physics. 37(7Part1). 3576–3586. 23 indexed citations
3.
Way, Ted W., Heang‐Ping Chan, Lubomir M. Hadjiiski, et al.. (2010). Computer-Aided Diagnosis of Lung Nodules on CT Scans:. Academic Radiology. 17(3). 323–332. 36 indexed citations
4.
Way, Ted W., Berkman Sahiner, Heang‐Ping Chan, et al.. (2009). Computer‐aided diagnosis of pulmonary nodules on CT scans: Improvement of classification performance with nodule surface features. Medical Physics. 36(7). 3086–3098. 114 indexed citations
5.
Goodsitt, Mitchell M., Heang‐Ping Chan, Ted W. Way, et al.. (2009). Quantitative CT of lung nodules: Dependence of calibration on patient body size, anatomic region, and calibration nodule size for single‐ and dual‐energy techniques. Medical Physics. 36(7). 3107–3121. 12 indexed citations
6.
Way, Ted W., Heang‐Ping Chan, Mitchell M. Goodsitt, et al.. (2008). Effect of CT scanning parameters on volumetric measurements of pulmonary nodules by 3D active contour segmentation: a phantom study. Physics in Medicine and Biology. 53(5). 1295–1312. 48 indexed citations
7.
Chan, Heang‐Ping, Berkman Sahiner, Yiheng Zhang, et al.. (2008). Digital tomosynthesis mammography: comparison of mass classification using 3D slices and 2D projection views. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6915. 691506–691506. 2 indexed citations
8.
Hadjiiski, Lubomir M., Ted W. Way, Berkman Sahiner, et al.. (2007). Computer-aided diagnosis for interval change analysis of lung nodule features in serial CT examinations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6514. 651411–651411. 6 indexed citations
9.
Sahiner, Berkman, Lubomir M. Hadjiiski, Heang‐Ping Chan, et al.. (2007). The effect of nodule segmentation on the accuracy of computerized lung nodule detection on CT scans: comparison on a data set annotated by multiple radiologists. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6514. 65140L–65140L. 14 indexed citations
10.
Goodsitt, Mitchell M., et al.. (2006). Accuracy of the CT numbers of simulated lung nodules imaged with multi-detector CT scanners. Medical Physics. 33(8). 3006–3017. 36 indexed citations
11.
Way, Ted W., Lubomir M. Hadjiiski, Berkman Sahiner, et al.. (2006). Computer‐aided diagnosis of pulmonary nodules on CT scans: Segmentation and classification using 3D active contours. Medical Physics. 33(7Part1). 2323–2337. 174 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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