Daniel Sun

1.1k citations
55 papers · 790 · h-index 16

Impact in

    • IoT and Edge/Fog Computing
    • Software System Performance and Reliability
    • Distributed systems and fault tolerance
    • Transportation Planning and Optimization
    • Human Mobility and Location-Based Analysis

Papers in

Daniel Sun

54 papers receiving 758 citations

Peers

Daniel Sun
Comparison fields: 5 of 86
  • Computer Networks and Communications 380
  • Transportation 107
  • Information Systems 355
  • Software 21
  • Building and Construction 69
Replace Sven Tomforde with:
Sven Tomforde Germany
Bin Cheng China
Júlio Cézar Estrella Brazil
Peter Komisarczuk New Zealand
Wenmin Lin China
Suprio Ray Canada
Mingjun Xiao China
Héctor González United States
Sergio Ilarri Spain
Christian Müller-Schloer Germany
Daniel Sun relative to Sven Tomforde Germany Sven Tomforde's profile →
Citations per field
00.5×1.5×1.9×
Sven Tomforde · 1×
Citations per year

Countries citing papers authored by Daniel Sun

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016114
2 201871
3 201756
4 201443
5 202034
6 201733
7 201632
8 201531
9 201925
10 201825
11 201523
12 201619
13 201517
14 201616
15 201815
16 201715
17 201815
18 202014
19 202113
20 202012

About Daniel Sun

Daniel Sun is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Transportation, having authored 55 papers that have together received 790 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (15 papers), Software System Performance and Reliability (12 papers), IoT and Edge/Fog Computing (10 papers), Data Quality and Management (5 papers), Software Reliability and Analysis Research (5 papers), Video Surveillance and Tracking Methods (5 papers), Blockchain Technology Applications and Security (4 papers) and Traffic Prediction and Management Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (380 citations), Transportation (107 citations), Information Systems (355 citations), Software (21 citations) and Building and Construction (69 citations). Daniel Sun has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Bahman Javadi, Weisheng Si, Yogesh Sharma, Guoqiang Li, Liming Zhu, Kaisheng Zhang, Len Bass, Xiwei Xu, Vincent Gramoli and Suwan Shen. Their work appears in journals such as Software Practice and Experience, ACM Transactions on Internet Technology, Journal of Parallel and Distributed Computing, IEEE Software and Journal of Computational Science.

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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