Fei Xia

663 citations
92 papers · 510 · h-index 11

Impact in

Papers in

Fei Xia

84 papers receiving 497 citations

Peers

Fei Xia
Comparison fields: 5 of 14
  • Hardware and Architecture 103
  • Computer Networks and Communications 100
  • Computational Theory and Mathematics 35
  • Electrical and Electronic Engineering 86
  • Biomedical Engineering 27
Replace Delong Shang with:
Delong Shang United Kingdom
Dengcheng Liu Sweden
Konstantinos Parasyris United States
Byeong‐Gyu Nam South Korea
Jeong‐Ho Woo South Korea
Thierry Divoux France
Carson Labrado United States
Apostolos A. Kountouris France
Minglun Gao China
Tanguy Risset France
Fei Xia relative to Delong Shang United Kingdom Delong Shang's profile →
Citations per field
00.5×2×3×4×5×
Delong Shang · 1×
Citations per year

Countries citing papers authored by Fei Xia

Since Specialization
Citations

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

Fields of papers citing papers by Fei Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201326
2 201124
3 200217
4 200617
5 201116
6 202016
7 201214
8 200413
9 200913
10 201112
11 201112
12 200211
13 200311
14 201311
15 201311
16 201711
17 201811
18 202010
19 20029
20 20109

About Fei Xia

Fei Xia is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computational Theory and Mathematics, Computer Networks and Communications and Biomedical Engineering, having authored 92 papers that have together received 510 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (15 papers), Parallel Computing and Optimization Techniques (12 papers), Interconnection Networks and Systems (9 papers), Petri Nets in System Modeling (8 papers), Advanced Memory and Neural Computing (6 papers), Analog and Mixed-Signal Circuit Design (5 papers), VLSI and FPGA Design Techniques (3 papers) and Advanced DC-DC Converters (3 papers). The work is most often cited by research in Hardware and Architecture (103 citations), Computer Networks and Communications (100 citations), Computational Theory and Mathematics (35 citations), Electrical and Electronic Engineering (86 citations) and Biomedical Engineering (27 citations). Fei Xia has collaborated with scholars based in United Kingdom, Iraq and China. Frequent co-authors include Alex Yakovlev, Delong Shang, Terrence Mak, Rishad Shafik, Ashur Rafiev, Alexander B. Romanovsky, David J. Kinniment, Abdullah Baz, A. Bystrov and Andrey Mokhov. Their work appears in journals such as Proceedings of the International Symposium on Advanced Research in Asynchronous Circuits and Systems, IEEE Transactions on Computers, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Electronics Letters and ACM Journal on Emerging Technologies in Computing 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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