A.L.P. Chen

1.3k citations
46 papers · 807 · h-index 16

Impact in

Papers in

A.L.P. Chen

41 papers receiving 751 citations

Peers

A.L.P. Chen
Comparison fields: 5 of 76
  • Signal Processing 277
  • Statistics, Probability and Uncertainty 91
  • Computer Vision and Pattern Recognition 236
  • Computer Networks and Communications 211
  • Industrial and Manufacturing Engineering 83
Replace Christian Kreiner with:
Christian Kreiner Austria
Jang‐Eui Hong South Korea
Éric Monfroy France
Lucas C. Cordeiro Brazil
Piotr Chołda Poland
José Luis Flores Spain
Mingli Song China
Maggie Mashaly Egypt
Eunsuk Kang United States
Rogério de Lemos United Kingdom
A.L.P. Chen relative to Christian Kreiner Austria Christian Kreiner's profile →
Citations per field
00.5×10×13.9×
Christian Kreiner · 1×
Citations per year

Countries citing papers authored by A.L.P. Chen

Since Specialization
Citations

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

Fields of papers citing papers by A.L.P. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001105
2 201182
3 199660
4 200456
5 200253
6 200145
7 200939
8 200238
9 200037
10 200229
11 200226
12 200226
13 200322
14 200220
15 202318
16 199218
17 202313
18 200211
19 200310
20 20099

About A.L.P. Chen

A.L.P. Chen is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 46 papers that have together received 807 indexed citations. Recurring topics across this work include Data Management and Algorithms (11 papers), Advanced Database Systems and Queries (11 papers), Video Analysis and Summarization (7 papers), Advanced Statistical Process Monitoring (6 papers), Algorithms and Data Compression (6 papers), Music and Audio Processing (5 papers), Distributed systems and fault tolerance (4 papers) and Rough Sets and Fuzzy Logic (4 papers). The work is most often cited by research in Signal Processing (277 citations), Statistics, Probability and Uncertainty (91 citations), Computer Vision and Pattern Recognition (236 citations), Computer Networks and Communications (211 citations) and Industrial and Manufacturing Engineering (83 citations). A.L.P. Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Ruey‐Shan Guo, Shou‐Chih Lo, Xizhao Wang, Yi‐Hung Wu, Show‐Jane Yen, Jakey Blue, Frank S. C. Tseng, Baoding Liu, Jia-Lien Hsu and Chih‐Chin Liu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Semiconductor Manufacturing, Information Sciences, IEEE Transactions on Computers and Journal of Cleaner Production.

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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