Yuning Dong

704 citations
77 papers · 513 · h-index 11

Impact in

Papers in

Yuning Dong

70 papers receiving 491 citations

Peers

Yuning Dong
Comparison fields: 5 of 67
  • Computer Networks and Communications 298
  • Signal Processing 99
  • Artificial Intelligence 193
  • Computer Vision and Pattern Recognition 117
  • Transportation 24
Replace Phongsak Prasithsangaree with:
Phongsak Prasithsangaree United States
Yingyou Wen China
Kandaraj Piamrat France
Fanzi Zeng China
Ioannis Papapanagiotou United States
Abdullatif Albaseer Qatar
Sudipta Mahapatra India
Yassine Hadjadj‐Aoul France
Aanjhan Ranganathan United States
Yuning Dong relative to Phongsak Prasithsangaree United States Phongsak Prasithsangaree's profile →
Citations per field
00.5×10×15×19×
Phongsak Prasithsangaree · 1×
Citations per year

Countries citing papers authored by Yuning Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yuning Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201763
2 201753
3 201027
4 201925
5 202222
6 201817
7 202016
8 200914
9 200714
10 201014
11 201911
12 202010
13 201610
14 20239
15 20179
16 20049
17 20188
18 20228
19 20168
20 20208

About Yuning Dong

Yuning Dong is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 77 papers that have together received 513 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (23 papers), Network Security and Intrusion Detection (21 papers), Network Traffic and Congestion Control (15 papers), Wireless Networks and Protocols (14 papers), Advanced Steganography and Watermarking Techniques (11 papers), Advanced Wireless Network Optimization (11 papers), Image and Video Quality Assessment (9 papers) and Wireless Communication Networks Research (7 papers). The work is most often cited by research in Computer Networks and Communications (298 citations), Signal Processing (99 citations), Artificial Intelligence (193 citations), Computer Vision and Pattern Recognition (117 citations) and Transportation (24 citations). Yuning Dong has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Jiong Jin, Xinheng Wang, Hui Zhang, Xiaolong Xu, Congcong Zhang, Shiwen Mao, Fuyu Liu, Haitao Zhao, Xinxing Zhao and Xiaohui Qiu. Their work appears in journals such as Computer Networks, Wireless Personal Communications, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Systems Man and Cybernetics Systems and Neurocomputing.

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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