Fangyang Shen

584 citations
41 papers · 395 · h-index 11

Impact in

Papers in

Fangyang Shen

37 papers receiving 379 citations

Peers

Fangyang Shen
Comparison fields: 5 of 77
  • Computer Networks and Communications 119
  • Signal Processing 37
  • Artificial Intelligence 106
  • Electrical and Electronic Engineering 160
  • Computer Graphics and Computer-Aided Design 9
Replace Dina Shehada with:
Dina Shehada United Arab Emirates
Mitchell Trott United States
Zehra Gülru Çam Taşkıran Türkiye
Joachim K. Anlauf Germany
Yu Sheng China
Vahid Solouk Iran
Bingyan Liu China
Xiaoguang Li China
Fangyang Shen relative to Dina Shehada United Arab Emirates Dina Shehada's profile →
Citations per field
00.5×7.6×
Dina Shehada · 1×
Citations per year

Countries citing papers authored by Fangyang Shen

Since Specialization
Citations

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

Fields of papers citing papers by Fangyang Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201262
2 201656
3 201142
4 201727
5 200916
6
Modeling Differential Through-Silicon-Vias (TSVs) with Voltage Dependent and Nonlinear Capacitance
201316
7 202114
8 201614
9 201514
10 200712
11 201910
12 200910
13 20149
14 20237
15 20127
16 20167
17 20207
18 20136
19 20195
20 20165

About Fangyang Shen

Fangyang Shen is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 395 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (5 papers), Wireless Networks and Protocols (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Advanced Combinatorial Mathematics (4 papers), Parallel Computing and Optimization Techniques (4 papers), Pharmacovigilance and Adverse Drug Reactions (4 papers), Advanced Memory and Neural Computing (3 papers) and Energy Harvesting in Wireless Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (119 citations), Signal Processing (37 citations), Artificial Intelligence (106 citations), Electrical and Electronic Engineering (160 citations) and Computer Graphics and Computer-Aided Design (9 citations). Fangyang Shen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Yang Yi, Yue Qi, Bailiang Chen, Yue Shen, Weiqing Sun, Mohammed Niamat, Lingjia Liu, Min-Te Sun, Hongyan Hou and Bin Wang. Their work appears in journals such as Computers & Electrical Engineering, Parallel Computing, International Journal of Computer Assisted Radiology and Surgery, Education and Information Technologies and Mobile Networks and Applications.

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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