Xiaochen Xian

759 citations
35 papers · 529 · h-index 11

Impact in

Papers in

Xiaochen Xian

32 papers receiving 524 citations

Peers

Xiaochen Xian
Comparison fields: 5 of 93
  • Statistics, Probability and Uncertainty 114
  • Physiology 154
  • Statistics and Probability 47
  • Computational Mathematics 3
  • Cognitive Neuroscience 83
Replace Hugo Hiden with:
Hugo Hiden United Kingdom
Jan Rabčan Slovakia
Estellito Rangel Brazil
Kevin Hung Hong Kong
Adriana Albu Romania
Alexandra-Bianca Borlea Romania
Shengkun Xie Canada
Chhavi Sharma India
Xiaochen Xian relative to Hugo Hiden United Kingdom Hugo Hiden's profile →
Citations per field
00.5×9.2×
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Citations per year

Countries citing papers authored by Xiaochen Xian

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Xian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015191
2 201750
3 202145
4 201839
5 201928
6 201621
7 201819
8 202319
9 201914
10 202211
11 202211
12 202410
13 20249
14 20238
15 20226
16 20246
17 20246
18 20155
19 20233
20 20253

About Xiaochen Xian

Xiaochen Xian is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Artificial Intelligence, Computer Networks and Communications and Statistics and Probability, having authored 35 papers that have together received 529 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (11 papers), Anomaly Detection Techniques and Applications (6 papers), Fault Detection and Control Systems (6 papers), Advanced Statistical Methods and Models (5 papers), Machine Fault Diagnosis Techniques (4 papers), Data Stream Mining Techniques (4 papers), Obstructive Sleep Apnea Research (3 papers) and Sleep and Work-Related Fatigue (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (114 citations), Physiology (154 citations), Statistics and Probability (47 citations), Computational Mathematics (3 citations) and Cognitive Neuroscience (83 citations). Xiaochen Xian has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Kaibo Liu, Changyue Song, Xi Zhang, Lili Chen, Andi Wang, Jian Li, Di Wang, Fugee Tsung, Chen Zhang and Jaya Joshi. Their work appears in journals such as Technometrics, IEEE Transactions on Automation Science and Engineering, Journal of Quality Technology, IISE Transactions and Journal of Medical Internet Research.

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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