Angela Y. Wu

10.5k citations
53 papers · 6.9k indexed · 2 hit papers · h-index 17

Angela Y. Wu

51 papers receiving 6.3k citations

Hit Papers

An efficient k-means clustering algorithm: analysis and i...3.9k199820262007201610002.0k3.0k

Peers

Angela Y. Wu
Comparison fields: 5 of 199
  • Computer Vision and Pattern Recognition 2.8k
  • Computer Graphics and Computer-Aided Design 480
  • Signal Processing 1.0k
  • Artificial Intelligence 2.0k
  • Media Technology 392
Replace Ruth Silverman with:
Ruth Silverman United States
Nathan S. Netanyahu United States
Christine Piatko United States
Edwin R. Hancock United Kingdom
David M. Mount United States
Tapas Kanungo United States
Mehdi Mirza Canada
Diederik P. Kingma United States
Jianfei Cai Singapore
Sherjil Ozair United States
Angela Y. Wu relative to Ruth Silverman United States Ruth Silverman's profile →
Citations per field
00.5×1.5×
Ruth Silverman · 1×
Citations per year

Countries citing papers authored by Angela Y. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Angela Y. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Angela Y. 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 Angela Y. Wu Line = papers co-authored together Angela Y. Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20131
3 200624
4 2004184
5
An efficient k-means clustering algorithm: analysis and implementationbreakdown →
20023878
6 20005
7
Computing nearest neighbors for moving points and applications to clustering
199916
8 199814
9 199711
10
Vision Geometry VI
19972
11 1994389
12 19902
13 19882
14 198240
15 198212
16 19815
17 19816
18 19817
19 19818
20 197913

About Angela Y. Wu

Angela Y. Wu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Signal Processing and Statistics and Probability, having authored 53 papers that have together received 6.9k indexed citations. Recurring topics across this work include Digital Image Processing Techniques (16 papers), Computational Geometry and Mesh Generation (15 papers), Medical Image Segmentation Techniques (9 papers), Cellular Automata and Applications (9 papers), Data Management and Algorithms (7 papers), Advanced Statistical Methods and Models (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.8k citations), Computer Graphics and Computer-Aided Design (480 citations), Signal Processing (1.0k citations), Artificial Intelligence (2.0k citations) and Media Technology (392 citations). Angela Y. Wu has collaborated with scholars based in United States, Israel and Hong Kong. Frequent co-authors include David M. Mount, Ruth Silverman, Nathan S. Netanyahu, Christine Piatko, Tapas Kanungo, Sunil Arya, Azriel Rosenfeld, Bhaskar Sen, Tsai-Hong Hong and T. Yung Kong. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences, Pattern Recognition, Computational Statistics & Data Analysis and Computational Geometry.

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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