Dongjin Yu

2.5k citations
116 papers · 1.7k · h-index 22

Impact in

Papers in

    • Recommender Systems and Techniques 31
    • Service-Oriented Architecture and Web Services 19
    • Software Engineering Research 19
    • Advanced Graph Neural Networks 11
    • Topic Modeling 10

Dongjin Yu

105 papers receiving 1.6k citations

Peers

Dongjin Yu
Comparison fields: 5 of 103
  • Information Systems 762
  • Transportation 151
  • Artificial Intelligence 607
  • Computer Networks and Communications 392
  • Signal Processing 179
Replace Rebecca Montanari with:
Rebecca Montanari Italy
Liviu Panait United States
Jianqi Liu China
Guy Shani Israel
Luiz F. Bittencourt Brazil
H. Van Dyke Parunak United States
Zhiquan Liu China
Bart Dhoedt Belgium
Xiaoguang Liu China
Serkan Günal Türkiye
Dongjin Yu relative to Rebecca Montanari Italy Rebecca Montanari's profile →
Citations per field
00.5×3.7×
Rebecca Montanari · 1×
Citations per year

Countries citing papers authored by Dongjin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dongjin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Taxapad 2012, Ichneumonoidea 2011. Database on flash-drive.
2012193
2 2020187
3 202189
4 201886
5 201959
6 202156
7 202053
8 201447
9 202339
10 202036
11 201935
12 202131
13 201630
14 202029
15 202127
16 202027
17 201827
18 202123
19 201923
20 202021

About Dongjin Yu

Dongjin Yu is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 116 papers that have together received 1.7k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (31 papers), Service-Oriented Architecture and Web Services (19 papers), Software Engineering Research (19 papers), Caching and Content Delivery (14 papers), Human Mobility and Location-Based Analysis (14 papers), Advanced Malware Detection Techniques (11 papers), Advanced Graph Neural Networks (11 papers) and Topic Modeling (10 papers). The work is most often cited by research in Information Systems (762 citations), Transportation (151 citations), Artificial Intelligence (607 citations), Computer Networks and Communications (392 citations) and Signal Processing (179 citations). Dongjin Yu has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Dongjing Wang, Xi Zheng, C. van Achterberg, Guandong Xu, Alireza Jolfaei, Shuiguang Deng, Yong Li, Gaochao Xu, Yipeng Zhou and Xin Zhang. Their work appears in journals such as Applied Intelligence, Expert Systems with Applications, IEEE Access, World Wide Web and Multimedia Tools and Applications.

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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