Yufeng Zhan

2.8k citations
47 papers · 2.0k indexed · 2 hit papers · h-index 23
Topics
Mobile Crowdsensing and Crowdsourcing (19 papers)Privacy-Preserving Technologies in Data (15 papers)IoT and Edge/Fog Computing (14 papers)
Partner nations
ChinaHong KongJapan

In The Last Decade

Yufeng Zhan

43 papers receiving 2.0k citations

Hit Papers

A Learning-Based Incentive Mechanism for Federated Learning202020262022202420202021100200300400

Peers

Yufeng Zhan
Comparison fields: 5 of 76
  • Artificial Intelligence 1.1k
  • Computer Networks and Communications 827
  • Computer Science Applications 613
  • Information Systems 510
  • Electrical and Electronic Engineering 397
Replace Yutao Jiao with:
Yutao Jiao China
Nguyen Cong Luong Vietnam
Jinbo Xiong China
Chuan Zhang China
Xiaoying Gan China
Jia Xu China
Chang Xu China
Tie Luo Singapore
Demetrios Zeinalipour-Yazti Cyprus
Mingjun Xiao China
Yufeng Zhan relative to Yutao Jiao China Yutao Jiao's profile →
Citations per field
00.5×4.5×
Yutao Jiao · 1×
Citations per year

Countries citing papers authored by Yufeng Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Yufeng Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yufeng Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Yufeng Zhan. A scholar is included among the top collaborators of Yufeng Zhan 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 Yufeng Zhan. Yufeng Zhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 4
5 3
6 11
7 4
8 0
9 15
10 90
11
A Survey of Incentive Mechanism Design for Federated Learningbreakdown →
198
12 26
13 79
14 107
15 79
16 15
17 14
18 135
19 28
20 1

About Yufeng Zhan

Yufeng Zhan is a scholar working on Computer Science Applications, Computer Networks and Communications and Information Systems, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (19 papers), Privacy-Preserving Technologies in Data (15 papers) and IoT and Edge/Fog Computing (14 papers). The work is most often cited by research in Computer Science Applications (613 citations), Computer Networks and Communications (827 citations) and Artificial Intelligence (1.1k citations). Yufeng Zhan has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Song Guo, Peng Li, Zhihao Qu, Deze Zeng, Yuanqing Xia, Jiang Zhang, Chi Harold Liu, Zicong Hong, Leijie Wu and Jie Zhang. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, ACM Computing Surveys and 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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