Yue Tan

1.7k total citations · 2 hit papers
19 papers, 763 citations indexed

About

Yue Tan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Yue Tan has authored 19 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Information Systems. Recurrent topics in Yue Tan's work include Privacy-Preserving Technologies in Data (3 papers), Distributed systems and fault tolerance (2 papers) and Advanced Queuing Theory Analysis (2 papers). Yue Tan is often cited by papers focused on Privacy-Preserving Technologies in Data (3 papers), Distributed systems and fault tolerance (2 papers) and Advanced Queuing Theory Analysis (2 papers). Yue Tan collaborates with scholars based in China, United States and Australia. Yue Tan's co-authors include Guodong Long, Chengqi Zhang, Qinghua Lu, Kan Zheng, Lei Lei, Lu Liu, Tianyi Zhou, Jing Jiang, Kuan Zhang and Shiwen Liu and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Internet of Things Journal.

In The Last Decade

Yue Tan

17 papers receiving 741 citations

Hit Papers

FedProto: Federated Prototype Learning across Heterogeneo... 2020 2026 2022 2024 2022 2020 100 200 300

Peers

Yue Tan
Comparison fields: 5 of 81
  • Artificial Intelligence 439
  • Computer Networks and Communications 187
  • Electrical and Electronic Engineering 171
  • Information Systems 140
  • Control and Systems Engineering 102
Replace Myeonghwi Kim with:
Myeonghwi Kim South Korea
Feilong Lin China
Swarna Priya Ramu India
Feng Ye United States
Murtuza Jadliwala United States
Zhuangdi Zhu United States
Boško Nikolić Serbia
Corrado Santoro Italy
Konstantin Igorevich Kostromitin Russia
Myeonghwi Kim South Korea View profile →
Citations per field, relative to Yue Tan
Yue Tan · 1×
Citations per year, relative to Yue Tan
Yue Tan · 1×

Countries citing papers authored by Yue Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yue Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Tan. A scholar is included among the top collaborators of Yue Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yue Tan. Yue Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 33
2 75
3
FedProto: Federated Prototype Learning across Heterogeneous Clients breakdown →
314
4 0
5 2
6 18
7 70
8
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges breakdown →
198
9 0
10 1
11 1
12 1
13 7
14
How Concept-mapping Perception Navigates Student Knowledge Transfer Performance
21
15 8
16 6
17 3
18
Neural Network Based on Nonlinear Smith Predictor.
4
19
d-Step Ahead Neural Predictive Controller and its Stability Design
1

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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