Chenyuan Feng

850 citations
41 papers · 532 indexed · h-index 11
Topics
Privacy-Preserving Technologies in Data (19 papers)IoT and Edge/Fog Computing (7 papers)Stochastic Gradient Optimization Techniques (6 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Communications MagazineIEEE Transactions on Communications
Partner nations
ChinaSingaporeFrance

In The Last Decade

Chenyuan Feng

35 papers receiving 525 citations

Peers

Chenyuan Feng
Comparison fields: 5 of 39
  • Artificial Intelligence 353
  • Computer Networks and Communications 224
  • Electrical and Electronic Engineering 187
  • Information Systems 85
  • Computer Science Applications 41
Replace Bing Luo with:
Bing Luo China
Víctor Valls Ireland
Yacine Rebahi Germany
Yibo Jin China
Renwan Bi China
Hongbin Zhu China
Pengchao Han China
Aunas Manzoor South Korea
Wenqi Shi China
Ted Hart United States
Chenyuan Feng relative to Bing Luo China Bing Luo's profile →
Citations per field
00.5×1.6×
Bing Luo · 1×
Citations per year

Countries citing papers authored by Chenyuan Feng

Since Specialization
Citations

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

Fields of papers citing papers by Chenyuan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenyuan Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Chenyuan Feng. A scholar is included among the top collaborators of Chenyuan Feng 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 Chenyuan Feng. Chenyuan Feng 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 1
3 5
4 0
5 3
6 0
7 1
8 5
9 0
10 4
11 11
12 1
13 1
14 4
15 1
16 22
17 10
18 93
19 94
20 1

About Chenyuan Feng

Chenyuan Feng is a scholar working on Computer Networks and Communications, Artificial Intelligence and Transportation, having authored 41 papers that have together received 532 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (19 papers), IoT and Edge/Fog Computing (7 papers) and Stochastic Gradient Optimization Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (353 citations), Computer Networks and Communications (224 citations) and Computer Science Applications (41 citations). Chenyuan Feng has collaborated with scholars based in China, Singapore and France. Frequent co-authors include Tony Q. S. Quek, Zhongyuan Zhao, Howard H. Yang, Mugen Peng, Geyong Min, Zhiwei Zhao, Daquan Feng, Jiamo Jiang, Yuhong Jiang and Zuozhu Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Magazine and IEEE Transactions on Communications.

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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