Dantong Yu

3.4k citations
92 papers · 1.3k · h-index 18

Impact in

Papers in

Dantong Yu

86 papers receiving 1.2k citations

Peers

Dantong Yu
Comparison fields: 5 of 111
  • Hardware and Architecture 159
  • Computer Networks and Communications 502
  • Artificial Intelligence 548
  • Information Systems 255
  • Renewable Energy, Sustainability and the Environment 184
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Todd Munson United States
Pete Beckman United States
Dongxi Liu Australia
Feng Chen China
Xiaodong Fu China
Paul F. Reynolds United States
Morris Riedel Germany
Pierre Lemarinier France
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Citations per field
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Citations per year

Countries citing papers authored by Dantong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dantong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015148
2 2002126
3 201478
4 201874
5
Divisible Load Scheduling for Grid Computing
200356
6 201348
7 201642
8 201740
9
Data Intensive Grid Scheduling: Multiple Sources with Capacity Constraints
200333
10 201328
11 201827
12 201125
13 201221
14 200321
15 200619
16 201018
17 201317
18 200617
19 201216
20 201516

About Dantong Yu

Dantong Yu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Hardware and Architecture, having authored 92 papers that have together received 1.3k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (19 papers), Parallel Computing and Optimization Techniques (15 papers), Advanced Data Storage Technologies (14 papers), Cloud Computing and Resource Management (11 papers), Software-Defined Networks and 5G (11 papers), Advanced Clustering Algorithms Research (10 papers), Network Traffic and Congestion Control (9 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Hardware and Architecture (159 citations), Computer Networks and Communications (502 citations), Artificial Intelligence (548 citations), Information Systems (255 citations) and Renewable Energy, Sustainability and the Environment (184 citations). Dantong Yu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Thomas G. Robertazzi, Shinjae Yoo, Aidong Zhang, Dong Huang, Hong Qin, Gholamhosein Sheikholeslami, P.D. Kalb, John Heiser, Hao Huang and Dimitrios Katramatos. Their work appears in journals such as Solar Energy, IEEE Transactions on Parallel and Distributed Systems, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Knowledge and Data Engineering and IEEE Journal of Biomedical and Health Informatics.

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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