Daniel Wong

1.5k citations
62 papers · 1.1k · h-index 19

Impact in

Papers in

Daniel Wong

58 papers receiving 981 citations

Peers

Daniel Wong
Comparison fields: 5 of 120
  • Hardware and Architecture 329
  • Computer Networks and Communications 451
  • Immunology and Allergy 82
  • Information Systems 272
  • Computational Mathematics 5
Replace Miroslav Popović with:
Miroslav Popović Serbia
Toshimitsu Masuzawa Japan
Ryo Kurachi Japan
Hüseyin Şeker United Kingdom
Duck-Hwan Kim South Korea
Vijay Laxmi India
Myung Ho Kim South Korea
Toshihiko Kato Japan
David Mulvaney United Kingdom
Seon Wook Kim South Korea
Daniel Wong relative to Miroslav Popović Serbia Miroslav Popović's profile →
Citations per field
00.5×9.1×
Miroslav Popović · 1×
Citations per year

Countries citing papers authored by Daniel Wong

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969193
2 201685
3 201278
4 202161
5 201347
6
Mainstream: dynamic stem-sharing for multi-tenant video processing
201844
7 201935
8 202034
9 201633
10 201431
11 201726
12 201625
13 201624
14 201424
15 201923
16 196823
17 201020
18 202120
19 201618
20 196818

About Daniel Wong

Daniel Wong is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (30 papers), Cloud Computing and Resource Management (19 papers), Advanced Data Storage Technologies (18 papers), Distributed and Parallel Computing Systems (9 papers), Caching and Content Delivery (6 papers), Interconnection Networks and Systems (6 papers), IoT and Edge/Fog Computing (5 papers) and Semiconductor Lasers and Optical Devices (3 papers). The work is most often cited by research in Hardware and Architecture (329 citations), Computer Networks and Communications (451 citations), Immunology and Allergy (82 citations), Information Systems (272 citations) and Computational Mathematics (5 citations). Daniel Wong has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Murali Annavaram, Laxmi N. Bhuyan, Chih-Hsun Chou, Wilsun Xu, AmirAli Abdolrashidi, Jing Yong, Yang Wang, Mohammad Abdel-Majeed, Yuanyuan Sun and Nam Sung Kim. Their work appears in journals such as IEEE Computer Architecture Letters, IEEE Transactions on Power Delivery, IEEE Micro, Life Sciences and Thorax.

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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