William G. Wee

2.3k total citations
79 papers, 1.5k citations indexed

About

William G. Wee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, William G. Wee has authored 79 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in William G. Wee's work include Medical Image Segmentation Techniques (20 papers), Image and Object Detection Techniques (14 papers) and Neural Networks and Applications (11 papers). William G. Wee is often cited by papers focused on Medical Image Segmentation Techniques (20 papers), Image and Object Detection Techniques (14 papers) and Neural Networks and Applications (11 papers). William G. Wee collaborates with scholars based in United States and China. William G. Wee's co-authors include Chengjun Sun, K. S. Fu, Zhigang Peng, Chia Y. Han, Lei He, Eugene S. Santos, J. H. Lee, Xun Wang, Kenneth Weiss and Lei He and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Radiology and IEEE Transactions on Information Theory.

In The Last Decade

William G. Wee

75 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William G. Wee United States	17	524	496	328	323	245	79	1.5k
Dong Zhao China	18	906 1.7×	495 1.0×	239 0.7×	226 0.7×	174 0.7×	50	1.9k
Yun Tian China	18	323 0.6×	419 0.8×	119 0.4×	178 0.6×	95 0.4×	87	1.5k
Wee Kheng Leow Singapore	20	464 0.9×	732 1.5×	114 0.3×	67 0.2×	112 0.5×	80	1.4k
Kumar Abhishek India	14	362 0.7×	404 0.8×	251 0.8×	72 0.2×	154 0.6×	49	1.2k
Walter Romano Canada	16	278 0.5×	273 0.6×	173 0.5×	56 0.2×	149 0.6×	35	1.3k
Johan Montagnat France	20	216 0.4×	641 1.3×	345 1.1×	32 0.1×	263 1.1×	61	1.6k
Dimitris K. Iakovidis Greece	33	981 1.9×	1.2k 2.3×	650 2.0×	59 0.2×	233 1.0×	154	3.4k
Xuefeng Liu China	19	385 0.7×	348 0.7×	213 0.6×	54 0.2×	294 1.2×	103	1.9k
José‐Luis Sancho‐Gómez Spain	14	546 1.0×	295 0.6×	195 0.6×	46 0.1×	77 0.3×	46	1.2k

Countries citing papers authored by William G. Wee

Since Specialization

Citations

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

Fields of papers citing papers by William G. Wee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Wee. 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 William G. Wee. The network helps show where William G. Wee may publish in the future.

Co-authorship network of co-authors of William G. Wee

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

All Works

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20 of 20 papers shown

Wee, William G., et al.. (2019). Content-Adaptive U-Net Architecture for Medical Image Segmentation. 698–702. 7 indexed citations

Li, Xiaokun & William G. Wee. (2013). Retinal Vessel Detection and Measurement for Computer-aided Medical Diagnosis. Journal of Digital Imaging. 27(1). 120–132. 12 indexed citations

He, Lei, William G. Wee, Songfeng Zheng, & Li Wang. (2009). A level set model without initial contour. BearWorks (Missouri State University). 1–6. 4 indexed citations

He, Lei, Zhigang Peng, Xun Wang, et al.. (2007). A comparative study of deformable contour methods on medical image segmentation. Image and Vision Computing. 26(2). 141–163. 185 indexed citations

Cai, Xin, et al.. (2006). Evaluation of Two Segmentation Methods on MRI Brain Tissue Structures. PubMed. 2006. 3029–3032. 3 indexed citations

He, Lei, Chia Y. Han, & William G. Wee. (2006). Object Recognition and Recovery by Skeleton Graph Matching. 993–996. 11 indexed citations

Peng, Zhigang, et al.. (2005). Automated Vertebra Detection and Segmentation from the Whole Spine MR Images. PubMed. 2005. 2527–2530. 92 indexed citations

He, Lei, et al.. (2004). Graph matching for object recognition and recovery. Pattern Recognition. 37(7). 1557–1560. 10 indexed citations

Wang, Xun, et al.. (2003). A divide and conquer deformable contour method with a model based searching algorithm. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 33(5). 738–751. 5 indexed citations

10.

Wang, Xia, Lei He, Chia Y. Han, & William G. Wee. (2002). Deformable contour method: a constrained optimization approach. 16.1–16.10. 3 indexed citations

11.

Tang, Yonghong, et al.. (1995). <title>Automated inspection system for detecting metal surface cracks from fluorescent penetrant images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2423. 278–291. 5 indexed citations

12.

Wee, William G., et al.. (1994). Performance issues of an Automated Visual Inspection System (AVIS). 30th Joint Propulsion Conference and Exhibit. 1 indexed citations

13.

Wee, William G., et al.. (1991). Image feature extraction using Gabor-like transform. 1 indexed citations

14.

Han, Chia Y., et al.. (1991). Knowledge-based image analysis for automated boundary extraction of transesophageal echocardiographic left-ventricular images. IEEE Transactions on Medical Imaging. 10(4). 602–610. 37 indexed citations

15.

Wee, William G., et al.. (1991). An AI approach for wastewater treatment systems. Applied Intelligence. 1(3). 247–261. 27 indexed citations

16.

Han, Chia Y., et al.. (1990). A New Three-Dimensional Reconstruction Method Using Algebraic Reconstruction Techniques. Journal of X-Ray Science and Technology. 2(2). 95–116. 1 indexed citations

17.

Wee, William G., et al.. (1986). SDFS: A new strategy for the recognition of object using range data. pami 5. 770–775. 4 indexed citations

18.

Chang, Kai‐Hsiung & William G. Wee. (1985). A knowledge based planning system for mechanical assembly usign robots. Design Automation Conference. 330–336. 3 indexed citations

19.

Chang, Kai‐Hsiung & William G. Wee. (1985). A Planning System with Analysis.. 8(4). 275–280.

20.

Wee, William G., et al.. (1982). Neighboring gray level dependence matrix for texture classification. Computer Graphics and Image Processing. 20(3). 297–297. 26 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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