Chenchen Fu

559 citations
49 papers · 248 · h-index 10

Impact in

Papers in

Chenchen Fu

46 papers receiving 247 citations

Peers

Chenchen Fu
Comparison fields: 5 of 45
  • Hardware and Architecture 69
  • Computer Networks and Communications 134
  • Computer Science Applications 12
  • Electrical and Electronic Engineering 103
  • Automotive Engineering 19
Replace William R. Hamburgen with:
William R. Hamburgen United States
Changjiu Xian United States
Fangfa Fu China
Robert Sauter Germany
Augusto Vega United States
Zeqing Li China
Christian Belady United States
Scott C. Johnson United States
Chenchen Fu relative to William R. Hamburgen United States William R. Hamburgen's profile →
Citations per field
00.5×10×13.3×
William R. Hamburgen · 1×
Citations per year

Countries citing papers authored by Chenchen Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chenchen Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201727
2 202220
3 202215
4 202212
5 201410
6 201910
7 20209
8 20189
9 20189
10 20199
11 20178
12 20167
13 20207
14 20187
15 20186
16 20146
17 20166
18 20186
19 20225
20 20205

About Chenchen Fu

Chenchen Fu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, Information Systems and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 248 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (11 papers), Age of Information Optimization (10 papers), Energy Harvesting in Wireless Networks (8 papers), IoT and Edge/Fog Computing (6 papers), Cloud Computing and Resource Management (6 papers), Advanced Memory and Neural Computing (5 papers) and Caching and Content Delivery (5 papers). The work is most often cited by research in Hardware and Architecture (69 citations), Computer Networks and Communications (134 citations), Computer Science Applications (12 citations), Electrical and Electronic Engineering (103 citations) and Automotive Engineering (19 citations). Chenchen Fu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Chun Jason Xue, Song Han, Minming Li, Mengying Zhao, Weiwei Wu, Yongpan Liu, Qingan Li, Jingtong Hu, Junzhou Luo and Liang Shi. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Mobile Computing, IEEE Transactions on Knowledge and Data Engineering, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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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