Xiaochen Xie

3.0k citations
54 papers · 2.4k indexed · 1 hit paper · h-index 19

Xiaochen Xie

46 papers receiving 2.4k citations

Hit Papers

A Review on Basic Data-Driven Approaches for Industrial P...1.3k20142026201820224008001.2k

Peers

Xiaochen Xie
Comparison fields: 5 of 100
  • Control and Systems Engineering 1.9k
  • Statistics, Probability and Uncertainty 240
  • Analytical Chemistry 274
  • Mechanical Engineering 762
  • Computer Networks and Communications 243
Replace Lei Xie with:
Lei Xie China
Yingwei Zhang China
Qiang Liu China
Karim Salahshoor Iran
José Ragot France
Yupu Yang China
Ying Zheng China
Shuai Tan China
Xiangping Zhu China
Tim Littler United Kingdom
Xiaochen Xie relative to Lei Xie China Lei Xie's profile →
Citations per field
00.5×1.5×
Lei Xie · 1×
Citations per year

Countries citing papers authored by Xiaochen Xie

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20241
5 20245
6 20240
7 20240
8 20231
9 202318
10 20230
11 20232
12 20236
13 202237
14 202211
15 202213
16 20210
17 202061
18 201578
19 20151
20
A Review on Basic Data-Driven Approaches for Industrial Process Monitoringbreakdown →
20141336

About Xiaochen Xie

Xiaochen Xie is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Numerical Analysis, Energy Engineering and Power Technology and Computer Networks and Communications, having authored 54 papers that have together received 2.4k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (24 papers), Fault Detection and Control Systems (9 papers), Adaptive Control of Nonlinear Systems (7 papers), 3D IC and TSV technologies (7 papers), Control Systems and Identification (7 papers), Neural Networks Stability and Synchronization (6 papers), Electronic Packaging and Soldering Technologies (6 papers) and Control and Stability of Dynamical Systems (5 papers). The work is most often cited by research in Control and Systems Engineering (1.9k citations), Statistics, Probability and Uncertainty (240 citations), Analytical Chemistry (274 citations), Mechanical Engineering (762 citations) and Computer Networks and Communications (243 citations). Xiaochen Xie has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Shen Yin, Steven X. Ding, Hao Luo, James Lam, Chenchen Fan, Wei Sun, Panshuo Li, Ka‐Wai Kwok, Kie Chung Cheung and Huijun Gao. Their work appears in journals such as Information Sciences, IEEE Transactions on Industrial Electronics, IEEE Transactions on Automatic Control, International Journal of Systems Science and Journal of the Franklin Institute.

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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