Yaofeng Tu

604 citations
36 papers · 314 · h-index 9

Impact in

Papers in

Yaofeng Tu

27 papers receiving 310 citations

Peers

Yaofeng Tu
Comparison fields: 5 of 45
  • Artificial Intelligence 194
  • Computer Networks and Communications 107
  • Signal Processing 44
  • Computational Theory and Mathematics 58
  • Information Systems 69
Replace Yang Su with:
Yang Su China
Jinyuan You China
Jinhong Li China
Erik-Oliver Blaß Germany
Pierre Bieber France
Odysseas Papapetrou Greece
Kasper Søe Luckow United States
Zechao Shang United States
Raphael M. Reischuk Switzerland
M. de Jonge Netherlands
Yaofeng Tu relative to Yang Su China Yang Su's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yaofeng Tu

Since Specialization
Citations

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

Fields of papers citing papers by Yaofeng Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202180
2 202069
3 202321
4 202320
5 202415
6 202313
7 202010
8 202310
9 20238
10 20247
11 20237
12 20207
13 20227
14 20226
15 20235
16 20225
17 20224
18 20214
19 20193
20 20233

About Yaofeng Tu

Yaofeng Tu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 314 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (7 papers), Advanced Database Systems and Queries (6 papers), Data Management and Algorithms (6 papers), Network Security and Intrusion Detection (6 papers), Cloud Computing and Resource Management (6 papers), Software System Performance and Reliability (5 papers), Advanced Data Storage Technologies (5 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (194 citations), Computer Networks and Communications (107 citations), Signal Processing (44 citations), Computational Theory and Mathematics (58 citations) and Information Systems (69 citations). Yaofeng Tu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhengping Liang, Линг Лиу, Zexuan Zhu, Rui Xia, Jianfei Yu, Bin Cui, Jun Gao, Tianyi Chen, Tong Yang and Yuhan Wu. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Expert Systems with Applications, IEEE/ACM Transactions on Networking and Science China Information Sciences.

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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