Yang Du

1.2k citations
58 papers · 668 · h-index 11

Impact in

Papers in

Yang Du

51 papers receiving 660 citations

Peers

Yang Du
Comparison fields: 5 of 57
  • Signal Processing 286
  • Transportation 152
  • Computer Science Applications 104
  • Geography, Planning and Development 83
  • Computer Networks and Communications 262
Replace Tobias Emrich with:
Tobias Emrich Germany
Tian Xia United States
Hoyoung Jeung Switzerland
Suprio Ray Canada
Wenlei Xie United States
Simonas Šaltenis Denmark
Tao Guo China
K.A. Hua United States
Jaesoo Yoo South Korea
Jingping Bi China
Yang Du relative to Tobias Emrich Germany Tobias Emrich's profile →
Citations per field
00.5×10×20×26×
Tobias Emrich · 1×
Citations per year

Countries citing papers authored by Yang Du

Since Specialization
Citations

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

Fields of papers citing papers by Yang Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006172
2 200676
3
On computing top- t most influential spatial sites
200576
4 202143
5 202124
6 201923
7 202020
8 202120
9 201720
10 200717
11 202114
12 200710
13 202210
14 20219
15 20239
16 20199
17 20228
18 20237
19 20237
20 20097

About Yang Du

Yang Du is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Signal Processing and Information Systems, having authored 58 papers that have together received 668 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (14 papers), Network Traffic and Congestion Control (11 papers), Mobile Crowdsensing and Crowdsourcing (11 papers), Network Security and Intrusion Detection (11 papers), Data Management and Algorithms (8 papers), Privacy-Preserving Technologies in Data (7 papers), Data Stream Mining Techniques (7 papers) and Network Packet Processing and Optimization (6 papers). The work is most often cited by research in Signal Processing (286 citations), Transportation (152 citations), Computer Science Applications (104 citations), Geography, Planning and Development (83 citations) and Computer Networks and Communications (262 citations). Yang Du has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Donghui Zhang, Evangelos Kanoulas, Tian Xia, Yu-E Sun, He Huang, Tian Xia, Guoju Gao, Yufei Tao, Shigang Chen and Jie Wu. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Industrial Informatics, IEEE Transactions on Network Science and Engineering, Computer Networks and JAMA.

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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