Xiaochen Guo

880 citations
37 papers · 603 indexed · h-index 13

Impact in

Papers in

Xiaochen Guo

34 papers receiving 585 citations

Peers

Xiaochen Guo
Comparison fields: 5 of 42
  • Hardware and Architecture 259
  • Computer Networks and Communications 221
  • Electrical and Electronic Engineering 396
  • Computer Vision and Pattern Recognition 43
  • Cellular and Molecular Neuroscience 35
Replace Jongmin Lee with:
Jongmin Lee South Korea
Supreet Jeloka United States
Shuangchen Li China
Ioannis Savidis United States
Philippe Flatresse France
Hong Shick Min South Korea
Greg Yeric United States
Qiaosha Zou China
Lorena Anghel France
E. Alon United States
Xiaochen Guo relative to Jongmin Lee South Korea Jongmin Lee's profile →
Citations per field
00.5×1.5×
Jongmin Lee · 1×
Citations per year

Countries citing papers authored by Xiaochen Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010114
2 201395
3 201172
4 201040
5 201337
6 201731
7 201922
8 201522
9 201521
10 202220
11 201718
12 201518
13 201912
14 201812
15 20209
16 20188
17 20186
18 20236
19 20224
20 20174

About Xiaochen Guo

Xiaochen Guo is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 37 papers that have together received 603 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (19 papers), Advanced Memory and Neural Computing (15 papers), Advanced Data Storage Technologies (12 papers), Ferroelectric and Negative Capacitance Devices (6 papers), Network Packet Processing and Optimization (4 papers), Neuroscience and Neural Engineering (3 papers), Distributed systems and fault tolerance (3 papers) and Graph Theory and Algorithms (3 papers). The work is most often cited by research in Hardware and Architecture (259 citations), Computer Networks and Communications (221 citations), Electrical and Electronic Engineering (396 citations), Computer Vision and Pattern Recognition (43 citations) and Cellular and Molecular Neuroscience (35 citations). Xiaochen Guo has collaborated with scholars based in United States, China and France. Frequent co-authors include Engin İpek, Tolga Soyata, Ravi B. Patel, Eby G. Friedman, Mahdi Nazm Bojnordi, Vasilis F. Pavlidis, Yuanqing Cheng, Yang Wang, Haiyan Tang and Jiangshan Zhang. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Energy Sources Part A Recovery Utilization and Environmental Effects, IEEE Micro and ISIJ International.

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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