David Chiu

2.1k citations
97 papers · 1.4k · h-index 21

Impact in

Papers in

David Chiu

89 papers receiving 1.3k citations

Peers

David Chiu
Comparison fields: 5 of 132
  • Information Systems 462
  • Computer Networks and Communications 389
  • Hardware and Architecture 103
  • Artificial Intelligence 424
  • Signal Processing 123
Replace Nagarajan Natarajan with:
Nagarajan Natarajan United States
Yanjun Qi United States
Sampath Kannan United States
Dewan Md. Farid Bangladesh
Raffaele Giancarlo Italy
Arlindo L. Oliveira Portugal
Daniel P. Miranker United States
David J. Wu United States
Frank Dehne Canada
Prithviraj Sen United States
David Chiu relative to Nagarajan Natarajan United States Nagarajan Natarajan's profile →
Citations per field
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Nagarajan Natarajan · 1×
Citations per year

Countries citing papers authored by David Chiu

Since Specialization
Citations

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

Fields of papers citing papers by David Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987137
2 2015108
3 2001105
4 1991101
5 201070
6
Information Discovery through Hierarchical Maximum Entropy Discretization and Synthesis.
199164
7 200945
8 201442
9 201241
10 201340
11 199438
12 201133
13 198630
14 199027
15 198725
16 201025
17
Topic Model for Identifying Suicidal Ideation in Chinese Microblog
201524
18 201424
19 201324
20 201021

About David Chiu

David Chiu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Molecular Biology and Signal Processing, having authored 97 papers that have together received 1.4k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (16 papers), Cloud Computing and Resource Management (14 papers), Advanced Data Storage Technologies (14 papers), Advanced Database Systems and Queries (12 papers), Data Management and Algorithms (11 papers), Caching and Content Delivery (10 papers), Data Mining Algorithms and Applications (9 papers) and Algorithms and Data Compression (9 papers). The work is most often cited by research in Information Systems (462 citations), Computer Networks and Communications (389 citations), Hardware and Architecture (103 citations), Artificial Intelligence (424 citations) and Signal Processing (123 citations). David Chiu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Gagan Agrawal, Andrew K. C. Wong, Tekin Biçer, Chi Fai Cheung, Lin Gao, Xingli Guo, Wenjing Ma, Yue Deng, Yu Wang and Vignesh T. Ravi. Their work appears in journals such as Pattern Recognition, Information Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Bioinformatics and Computational Biology and PLoS ONE.

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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