Xiangyi Chen

39 papers receiving 1.5k citations

Xiangyi Chen's Hit Papers

Learning to Optimize: Training Deep Neural Networks for Interference Management 2018 · 586 citations
5860+2+5Years since publication100200300400500

Peers

Xiangyi Chen
Comparison fields: 5 of 121
  • Automotive Engineering 314
  • Computer Networks and Communications 430
  • Electrical and Electronic Engineering 1.0k
  • Artificial Intelligence 301
  • Aerospace Engineering 179
Replace Ijaz Haider Naqvi with:
Ijaz Haider Naqvi Pakistan
Dongsoo Har South Korea
Baofeng Ji China
Zhaowei Qu China
Ayaz Ahmad Pakistan
Andres Kwasinski United States
Tiago Gomes Portugal
Wooseong Kim South Korea
Gaurav Bansal United States
Yilin Zhao China
Xiangyi Chen relative to Ijaz Haider Naqvi Pakistan Ijaz Haider Naqvi's profile →
Citations per field
00.5×4.3×
Ijaz Haider Naqvi · 1×
Citations per year

Countries citing papers authored by Xiangyi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiangyi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning to Optimize: Training Deep Neural Networks for Interference Management
Hit paper breakdown →
2018586
2 2019312
3 2017225
4 202260
5 199846
6 202229
7 202325
8 202325
9
signSGD via Zeroth-Order Oracle.
201924
10 202318
11 202318
12 202017
13 201916
14 201813
15 201512
16
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks
202011
17 202210
18 20209
19 20076
20 20236

About Xiangyi Chen

Xiangyi Chen is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Control and Systems Engineering and Information Systems, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Power System Optimization and Stability (5 papers), Privacy-Preserving Technologies in Data (4 papers), Stochastic Gradient Optimization Techniques (3 papers), Advanced Neural Network Applications (3 papers), Smart Grid and Power Systems (3 papers), Caching and Content Delivery (3 papers) and Power Systems Fault Detection (3 papers). The work is most often cited by research in Automotive Engineering (314 citations), Computer Networks and Communications (430 citations), Electrical and Electronic Engineering (1.0k citations), Artificial Intelligence (301 citations) and Aerospace Engineering (179 citations). Xiangyi Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mingyi Hong, Xiao Fu, Nicholas D. Sidiropoulos, Qingjiang Shi, Haoran Sun, Chao Hu, Sheng Shen, Mohammadkazem Sadoughi, Yuanguo Bi and Hai Zhao. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, Medical Physics, IEEE Transactions on Consumer Electronics and IEEE Systems Journal.

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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