Xiaochen Xian

725 total citations
33 papers, 512 citations indexed

About

Xiaochen Xian is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Control and Systems Engineering. According to data from OpenAlex, Xiaochen Xian has authored 33 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Statistics, Probability and Uncertainty and 10 papers in Control and Systems Engineering. Recurrent topics in Xiaochen Xian's work include Advanced Statistical Process Monitoring (11 papers), Fault Detection and Control Systems (7 papers) and Anomaly Detection Techniques and Applications (6 papers). Xiaochen Xian is often cited by papers focused on Advanced Statistical Process Monitoring (11 papers), Fault Detection and Control Systems (7 papers) and Anomaly Detection Techniques and Applications (6 papers). Xiaochen Xian collaborates with scholars based in United States, China and Hong Kong. Xiaochen Xian's co-authors include Kaibo Liu, Changyue Song, Xi Zhang, Lili Chen, Andi Wang, Jian Li, Di Wang, Fugee Tsung, Chen Zhang and Andrew D. Hanson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Technometrics.

In The Last Decade

Xiaochen Xian

29 papers receiving 505 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaochen Xian United States 11 154 130 128 111 89 33 512
Ron Bates United Kingdom 11 90 0.6× 144 1.1× 28 0.2× 128 1.2× 41 0.5× 38 614
Hugo Hiden United Kingdom 15 26 0.2× 25 0.2× 63 0.5× 44 0.4× 23 0.3× 43 640
Kouamana Bousson Portugal 10 74 0.5× 55 0.4× 66 0.5× 4 0.0× 43 0.5× 41 307
D.L. Hudson United States 10 50 0.3× 80 0.6× 179 1.4× 2 0.0× 83 0.9× 60 525
Débora Christina Muchaluat Saade Brazil 8 98 0.6× 39 0.3× 135 1.1× 4 0.0× 12 0.1× 26 758
Adriana Albu Romania 10 7 0.0× 75 0.6× 155 1.2× 4 0.0× 41 0.5× 47 454
Kevin Hung Hong Kong 14 5 0.0× 353 2.7× 40 0.3× 14 0.1× 39 0.4× 75 754
Feng Yu China 13 28 0.2× 52 0.4× 100 0.8× 3 0.0× 105 1.2× 52 495
Vanessa Gómez-Verdejo Spain 14 11 0.1× 22 0.2× 239 1.9× 3 0.0× 105 1.2× 41 560
Shengkun Xie Canada 10 8 0.1× 22 0.2× 74 0.6× 5 0.0× 127 1.4× 61 424

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-authorship network of co-authors of Xiaochen Xian

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochen Xian. A scholar is included among the top collaborators of Xiaochen Xian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaochen Xian. Xiaochen Xian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Karakis, Ioannis, Vikram R. Rao, Xiaochen Xian, et al.. (2025). Clinical Value of ChatGPT for Epilepsy Presurgical Decision-Making: Systematic Evaluation of Seizure Semiology Interpretation. Journal of Medical Internet Research. 27. e69173–e69173. 3 indexed citations
2.
Dasa, Osama, et al.. (2025). A lightweight graph neural network to predict long-term mortality in coronary artery disease patients: an interpretable causality-aware approach. Journal of Biomedical Informatics. 167. 104846–104846. 2 indexed citations
3.
Wang, Di, et al.. (2025). Weakly Supervised Deep Learning for Monitoring Sleep Apnea Severity Using Coarse-Grained Labels. IEEE Transactions on Automation Science and Engineering. 22. 15227–15240.
4.
5.
Semenov, Alexander, et al.. (2024). Causality-aware social recommender system with network homophily informed multi-treatment confounders. Information Sciences. 676. 120729–120729. 2 indexed citations
6.
Berry, Richard, Pãnos M. Pardalos, Xiaochen Xian, & Jean‐Louis Pépin. (2024). Handbook of AI and Data Sciences for Sleep Disorders. Springer optimization and its applications.
7.
Song, Changyue, et al.. (2024). Deep Attention Networks With Multi-Temporal Information Fusion for Sleep Apnea Detection. IEEE Open Journal of Engineering in Medicine and Biology. 5. 792–802. 1 indexed citations
8.
Wang, Di, et al.. (2024). A Latent Variable-Based Multitask Learning Approach for Degradation Modeling of Machines With Dependency and Heterogeneity. IEEE Transactions on Instrumentation and Measurement. 73. 1–15. 6 indexed citations
9.
Xian, Xiaochen, et al.. (2023). Fairness-Guaranteed DER Coordination Under False Data Injection Attacks. IEEE Internet of Things Journal. 10(21). 19043–19053. 2 indexed citations
10.
Xian, Xiaochen, et al.. (2023). Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation. Technometrics. 65(3). 375–387. 7 indexed citations
11.
Wang, Di, et al.. (2023). An Adaptation-Aware Interactive Learning Approach for Multiple Operational Condition-Based Degradation Modeling. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 17519–17533. 3 indexed citations
12.
Wang, Di, Xiaochen Xian, & Changyue Song. (2023). Joint Learning of Failure Mode Recognition and Prognostics for Degradation Processes. IEEE Transactions on Automation Science and Engineering. 21(2). 1421–1433. 19 indexed citations
13.
Zan, Xin, Di Wang, & Xiaochen Xian. (2022). Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams. Technometrics. 65(2). 243–256. 6 indexed citations
14.
Ye, Honghan, et al.. (2022). Online nonparametric monitoring of heterogeneous data streams with partial observations based on Thompson sampling. IISE Transactions. 55(4). 392–404. 11 indexed citations
15.
Cohen, Izack, et al.. (2022). An adaptive machine learning algorithm for the resource-constrained classification problem. Engineering Applications of Artificial Intelligence. 119. 105741–105741. 11 indexed citations
16.
Hanson, Andrew D., Donald R. McCarty, Christopher S. Henry, et al.. (2021). The number of catalytic cycles in an enzyme’s lifetime and why it matters to metabolic engineering. Proceedings of the National Academy of Sciences. 118(13). 45 indexed citations
17.
Xian, Xiaochen, Jian Li, & Kaibo Liu. (2018). Causation-Based Monitoring and Diagnosis for Multivariate Categorical Processes With Ordinal Information. IEEE Transactions on Automation Science and Engineering. 16(2). 886–897. 18 indexed citations
18.
Xian, Xiaochen, Richard Archibald, Benjamin Mayer, Kaibo Liu, & Jian Li. (2018). An effective online data monitoring and saving strategy for large-scale climate simulations. Quality Technology & Quantitative Management. 16(3). 330–346. 3 indexed citations
19.
Xian, Xiaochen, et al.. (2015). Inefficiency of equilibria for scheduling game with machine activation costs. Theoretical Computer Science. 607. 193–207. 5 indexed citations
20.
Song, Changyue, Kaibo Liu, Xi Zhang, Lili Chen, & Xiaochen Xian. (2015). An Obstructive Sleep Apnea Detection Approach Using a Discriminative Hidden Markov Model From ECG Signals. IEEE Transactions on Biomedical Engineering. 63(7). 1532–1542. 188 indexed citations

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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2026