P. Yip

4.4k citations
50 papers · 2.6k indexed · 1 hit paper · h-index 19

P. Yip

47 papers receiving 2.4k citations

Hit Papers

Discrete Cosine Transform: Algorithms, Advantages, Applic...1.3k19902026200220144008001.2k

Peers

P. Yip
Comparison fields: 5 of 149
  • Signal Processing 1.3k
  • Computer Vision and Pattern Recognition 1.2k
  • Computational Mathematics 17
  • Computational Theory and Mathematics 231
  • Artificial Intelligence 401
Replace N. Ahmed with:
N. Ahmed United States
Bruno O. Shubert United States
Victor Solo Australia
Pierre Duhamel France
Gregory W. Wornell United States
Vladimír Britaňák Slovakia
T. Natarajan United States
Richard E. Blahut United States
A.G. Constantinides United Kingdom
N. Kalouptsidis Greece
P. Yip relative to N. Ahmed United States N. Ahmed's profile →
Citations per field
00.5×1.5×1.9×
N. Ahmed · 1×
Citations per year

Countries citing papers authored by P. Yip

Since Specialization
Citations

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

Fields of papers citing papers by P. Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200141
2 19971
3 1997122
4 19941
5 19935
6 19937
7 199111
8 199056
9 1990122
10 19891
11 19891
12 198822
13 198822
14 19873
15 198512
16 198448
17
Efficiency of foreign exchange markets: an empirical study using maximum entropy spectral analysis
198218
18 198064
19 197827
20 196813

About P. Yip

P. Yip is a scholar working on Signal Processing, Computational Theory and Mathematics, Statistical and Nonlinear Physics, General Economics, Econometrics and Finance and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 2.6k indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (16 papers), Direction-of-Arrival Estimation Techniques (7 papers), Advanced Adaptive Filtering Techniques (6 papers), Radar Systems and Signal Processing (6 papers), Blind Source Separation Techniques (5 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Image and Signal Denoising Methods (5 papers) and Numerical Methods and Algorithms (5 papers). The work is most often cited by research in Signal Processing (1.3k citations), Computer Vision and Pattern Recognition (1.2k citations), Computational Mathematics (17 citations), Computational Theory and Mathematics (231 citations) and Artificial Intelligence (401 citations). P. Yip has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include K.R. Rao, Vladimír Britaňák, Henry Leung, Yifeng Zhou, K.M. Wong, J.P. Reilly, Clarence C. Y. Kwan, Jeffrey L. Callen, S.F. Pang and Yufei Yuan. Their work appears in journals such as IEEE Transactions on Signal Processing, Journal of Pineal Research, Decision Sciences, Computers & Electrical Engineering and Journal of Business and Economic Statistics.

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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