Kenong Wu

443 total citations
13 papers, 297 citations indexed

About

Kenong Wu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Kenong Wu has authored 13 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Kenong Wu's work include Robotics and Sensor-Based Localization (7 papers), Medical Image Segmentation Techniques (3 papers) and 3D Surveying and Cultural Heritage (3 papers). Kenong Wu is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Medical Image Segmentation Techniques (3 papers) and 3D Surveying and Cultural Heritage (3 papers). Kenong Wu collaborates with scholars based in Canada, United States and Belgium. Kenong Wu's co-authors include Martin D. Levine, David Gauthier, Levine, Alan D. Kalvin, Peter Kazanzides, Bill Williamson, Dieter Van den Heuvel, Philippe Leray, Andrew Cross and Brent Mittelstadt and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Pattern Recognition Letters and Medical Image Analysis.

In The Last Decade

Kenong Wu

13 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenong Wu Canada 7 170 102 51 44 38 13 297
Sumit K. Nath United States 6 157 0.9× 105 1.0× 50 1.0× 63 1.4× 16 0.4× 8 259
D. P. Huijsmans Netherlands 10 275 1.6× 33 0.3× 35 0.7× 44 1.0× 36 0.9× 24 434
Hatice Çınar Akakın Türkiye 7 241 1.4× 61 0.6× 44 0.9× 108 2.5× 26 0.7× 11 416
Sundaresh Ram United States 11 254 1.5× 43 0.4× 56 1.1× 58 1.3× 42 1.1× 46 431
Toufiq Parag United States 10 193 1.1× 84 0.8× 24 0.5× 79 1.8× 21 0.6× 21 348
Thierry Oggier Switzerland 8 140 0.8× 91 0.9× 33 0.6× 10 0.2× 70 1.8× 11 360
Oana G. Cula United States 10 263 1.5× 24 0.2× 21 0.4× 44 1.0× 32 0.8× 16 378
Jonas De Vylder Belgium 9 97 0.6× 36 0.4× 35 0.7× 20 0.5× 13 0.3× 33 295
Qiufu Li China 9 175 1.0× 46 0.5× 124 2.4× 46 1.0× 14 0.4× 32 338
Yujia Huang China 8 394 2.3× 79 0.8× 49 1.0× 34 0.8× 223 5.9× 21 601

Countries citing papers authored by Kenong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kenong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenong Wu

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

All Works

13 of 13 papers shown
1.
2.
Wu, Kenong & Martin D. Levine. (2002). 3D part segmentation: a new physics-based approach. 311–316. 7 indexed citations
3.
Wu, Kenong, et al.. (2000). Providing visual information to validate 2-D to 3-D registration. Medical Image Analysis. 4(4). 357–374. 24 indexed citations
4.
Wu, Kenong, et al.. (1998). <title>Image segmentation by gradient statistics</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3338. 1520–1527. 1 indexed citations
5.
Wu, Kenong & Martin D. Levine. (1997). 3-D shape approximation using parametric geons. Image and Vision Computing. 15(2). 143–158. 13 indexed citations
6.
Wu, Kenong. (1996). Computing Parametric Geon Descriptions of 3D Multi-Part Objects. 5 indexed citations
7.
Wu, Kenong & Martin D. Levine. (1996). 2D shape segmentation: a new approach. Pattern Recognition Letters. 17(2). 133–140. 9 indexed citations
8.
Wu, Kenong & Martin D. Levine. (1996). 3D part segmentation using simulated electrical charge distributions. 14–18 vol.1. 5 indexed citations
9.
Wu, Kenong, David Gauthier, & Martin D. Levine. (1995). Live cell image segmentation. IEEE Transactions on Biomedical Engineering. 42(1). 1–12. 175 indexed citations
10.
Wu, Kenong & Levine. (1994). Recovering parametric geons from multiview range data. 159–166. 42 indexed citations
11.
Wu, Kenong & Martin D. Levine. (1994). <title>Parametric geons: a discrete set of shapes with parameterized attributes</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2239. 14–26. 5 indexed citations
12.
Wu, Kenong & Martin D. Levine. (1993). 3D object representation using parametric geons. 8 indexed citations
13.
Wu, Kenong, David Gauthier, & Martin D. Levine. (1991). Cell segmentation revisited. 2 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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