A. Wu

703 citations
56 papers · 558 · h-index 12

Impact in

Papers in

A. Wu

50 papers receiving 529 citations

Peers

A. Wu
Comparison fields: 5 of 75
  • Hardware and Architecture 83
  • Artificial Intelligence 217
  • Electrical and Electronic Engineering 243
  • Signal Processing 45
  • Computer Networks and Communications 95
Replace Pong P. Chu with:
Pong P. Chu United States
Pavle Belanović Austria
Ebrahim M. Songhori United States
Bertil Svensson Sweden
Duncan J. M. Moss Australia
P. V. Ananda Mohan India
Luis Parrilla Spain
Chang Wu China
Zishen Wan United States
Mukul Sutaone India
A. Wu relative to Pong P. Chu United States Pong P. Chu's profile →
Citations per field
00.5×2×3.4×
Pong P. Chu · 1×
Citations per year

Countries citing papers authored by A. Wu

Since Specialization
Citations

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

Fields of papers citing papers by A. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200170
2 199168
3 201941
4 201530
5 200029
6 200329
7 200323
8 200818
9 199617
10 200016
11 200315
12 200214
13 201911
14 200510
15 201810
16
GPS Satellite Timing Performance Using the Autonomous Navigation (Autonav)
19989
17 20069
18 20028
19 19988
20 19988

About A. Wu

A. Wu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 558 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (8 papers), VLSI and FPGA Design Techniques (7 papers), Neural Networks and Applications (7 papers), Advanced Algorithms and Applications (6 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Video Coding and Compression Technologies (5 papers) and Low-power high-performance VLSI design (5 papers). The work is most often cited by research in Hardware and Architecture (83 citations), Artificial Intelligence (217 citations), Electrical and Electronic Engineering (243 citations), Signal Processing (45 citations) and Computer Networks and Communications (95 citations). A. Wu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Henry Shu-Hung Chung, S.Y.R. Hui, Jack L. Meador, Jun Zhang, Wai‐Lun Lo, Huaqing Min, Derek Pao, Kwan L. Yeung, Chengguo Liu and P.K.S. Tam. Their work appears in journals such as Electronics Letters, Applied Soft Computing, IEEE Transactions on Applied Superconductivity, IEEE Transactions on Power Electronics and Clinical Oncology.

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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