Jay Wu

1.6k citations
31 papers · 1.2k indexed · 1 hit paper · h-index 11

Impact in

Papers in

Jay Wu

30 papers receiving 1.1k citations

Hit Papers

Fuzzy c-means clustering with spatial information for image segmentation 2005 · 953 citations
9532005202620122019250500750

Peers

Jay Wu
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 683
  • Media Technology 259
  • Radiation 162
  • Neurology 138
  • Radiology, Nuclear Medicine and Imaging 292
Replace Keh-Shih Chuang with:
Keh-Shih Chuang Taiwan
Hua Li China
Yi Ding China
Xi Wu China
Shuiping Gou China
Lei Xiang China
Wenjian Qin China
Christian Roux France
Jian Zheng China
Jay Wu relative to Keh-Shih Chuang Taiwan Keh-Shih Chuang's profile →
Citations per field
00.5×1.5×2.3×
Keh-Shih Chuang · 1×
Citations per year

Countries citing papers authored by Jay Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jay Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jay Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay Wu Line = papers co-authored together Jay Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20196
2 20194
3 20192
4 20184
5 201710
6 201620
7 201514
8 20146
9 20138
10 20135
11 20128
12 20101
13 200912
14 20085
15 20073
16 20075
17
Fuzzy c-means clustering with spatial information for image segmentation
Hit paper breakdown →
2005953
18 200340
19 20033
20 200315

About Jay Wu

Jay Wu is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Media Technology and Biomedical Engineering, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (21 papers), Medical Imaging Techniques and Applications (17 papers), Radiation Therapy and Dosimetry (13 papers), Advanced X-ray and CT Imaging (9 papers), Radiation Dose and Imaging (5 papers), Advanced MRI Techniques and Applications (3 papers), Image and Signal Denoising Methods (2 papers) and Boron Compounds in Chemistry (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (683 citations), Media Technology (259 citations), Radiation (162 citations), Neurology (138 citations) and Radiology, Nuclear Medicine and Imaging (292 citations). Jay Wu has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Keh-Shih Chuang, Sharon Chen, Yuan‐Jen Chang, Cheng‐Ting Shih, Bor‐Tsung Hsieh, B.T. Hsieh, Tung-Hsin Wu, Tzung-Chi Huang, L L Hsieh and Jin‐Ching Lin. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Physics in Medicine and Biology, IEEE Transactions on Nuclear Science, Journal of Digital Imaging and Applied Radiation and Isotopes.

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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