W. P. Yan

690 citations
30 papers · 383 · h-index 9

Impact in

Papers in

W. P. Yan

27 papers receiving 364 citations

Peers

W. P. Yan
Comparison fields: 5 of 63
  • Signal Processing 104
  • Computer Networks and Communications 136
  • Information Systems 84
  • Computer Vision and Pattern Recognition 66
  • Artificial Intelligence 93
Replace Hyrum S. Anderson with:
Hyrum S. Anderson United States
Ehab R. Mohamed Egypt
Yinan Li China
Barry Irwin South Africa
Inês Dutra Portugal
Cheng Fu United States
Yuanyuan Bao China
Mehdi Teimouri Iran
Michael W. Dusenberry United States
Abderrahim Sekkaki Morocco
W. P. Yan relative to Hyrum S. Anderson United States Hyrum S. Anderson's profile →
Citations per field
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Citations per year

Countries citing papers authored by W. P. Yan

Since Specialization
Citations

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

Fields of papers citing papers by W. P. Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside W. P. Yan, 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 W. P. Yan Line = papers co-authored together W. P. Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Eager Aggregation and Lazy Aggregation
1995134
2 202049
3 201927
4 202027
5 200619
6 201819
7 202116
8 202314
9 20239
10 20197
11 20246
12 20186
13 20235
14 20225
15 20025
16 20235
17 20175
18 20234
19 20214
20 20244

About W. P. Yan

W. P. Yan is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Radiation and Instrumentation, having authored 30 papers that have together received 383 indexed citations. Recurring topics across this work include Radiation Detection and Scintillator Technologies (5 papers), Advanced Optical Sensing Technologies (4 papers), Medical Imaging Techniques and Applications (3 papers), Laser-Plasma Interactions and Diagnostics (3 papers), Perovskite Materials and Applications (3 papers), Advanced Database Systems and Queries (2 papers), Atomic and Subatomic Physics Research (2 papers) and Luminescence Properties of Advanced Materials (2 papers). The work is most often cited by research in Signal Processing (104 citations), Computer Networks and Communications (136 citations), Information Systems (84 citations), Computer Vision and Pattern Recognition (66 citations) and Artificial Intelligence (93 citations). W. P. Yan has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Per-Åke Larson, Yongjun Bao, Raafat R. Mansour, Hanqing Lu, Jing Liu, Jun Fu, Zhiwei Fang, Yong Li, Shihua Zhao and Xiuyu Chen. Their work appears in journals such as Medicine, Review of Scientific Instruments, European Radiology, Optics Express and Applied Physics Letters.

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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