Xiaoxin Chen

886 citations
40 papers · 567 · h-index 11

Impact in

Papers in

Xiaoxin Chen

35 papers receiving 544 citations

Peers

Xiaoxin Chen
Comparison fields: 5 of 75
  • Signal Processing 165
  • Artificial Intelligence 309
  • Information Systems 197
  • Hardware and Architecture 57
  • Computer Networks and Communications 130
Replace Kanoksri Sarinnapakorn with:
Kanoksri Sarinnapakorn United States
Erxue Min China
Xiaohui Wei China
Dejun Mu China
Jian Gong China
Refik Samet Türkiye
Mustapha Lebbah France
Carlos García Garino Argentina
Xiaoxin Chen relative to Kanoksri Sarinnapakorn United States Kanoksri Sarinnapakorn's profile →
Citations per field
00.5×
Kanoksri Sarinnapakorn · 1×
Citations per year

Countries citing papers authored by Xiaoxin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008291
2 202126
3 202425
4 200925
5 202320
6 201019
7 200916
8 202414
9 201012
10 202410
11 202410
12 20239
13 20239
14 20249
15 20248
16 20097
17 20247
18 20196
19 20106
20 20125

About Xiaoxin Chen

Xiaoxin Chen is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Management Science and Operations Research, having authored 40 papers that have together received 567 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (4 papers), Advanced Neural Network Applications (4 papers), Adaptive Control of Nonlinear Systems (4 papers), Advanced Algorithms and Applications (3 papers), Evaluation and Optimization Models (3 papers), Stability and Control of Uncertain Systems (3 papers), Grey System Theory Applications (3 papers) and Advanced Battery Technologies Research (2 papers). The work is most often cited by research in Signal Processing (165 citations), Artificial Intelligence (309 citations), Information Systems (197 citations), Hardware and Architecture (57 citations) and Computer Networks and Communications (130 citations). Xiaoxin Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jeffrey Dwoskin, Dan Boneh, Pratap Subrahmanyam, Tal Garfinkel, Dan R. K. Ports, E. Christopher Lewis, Carl A. Waldspurger, Zhansi Jiang, Dequn Zhou and Yixian Du. Their work appears in journals such as International Journal of Systems Science, Measurement Science and Technology, Nondestructive Testing And Evaluation, ACS Medicinal Chemistry Letters and Kybernetes.

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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