Haowen Xu

661 total citations
10 papers, 396 citations indexed

About

Haowen Xu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Haowen Xu has authored 10 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 3 papers in Control and Systems Engineering. Recurrent topics in Haowen Xu's work include Anomaly Detection Techniques and Applications (4 papers), Network Security and Intrusion Detection (4 papers) and Software System Performance and Reliability (3 papers). Haowen Xu is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Network Security and Intrusion Detection (4 papers) and Software System Performance and Reliability (3 papers). Haowen Xu collaborates with scholars based in China and United States. Haowen Xu's co-authors include Dan Pei, Youjian Zhao, Dapeng Liu, Yongqian Sun, Feng Mei, Wenxiao Chen, Rui Jiao, Shenglin Zhang, Ping Liu and Jice Zeng and has published in prestigious journals such as International Journal of Electrical Power & Energy Systems, IEEE Sensors Journal and Applied Acoustics.

In The Last Decade

Haowen Xu

10 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haowen Xu China 5 313 284 97 66 30 10 396
Chunhua Wu China 5 312 1.0× 265 0.9× 179 1.8× 51 0.8× 33 1.1× 11 381
Dapeng Liu China 6 220 0.7× 245 0.9× 103 1.1× 66 1.0× 19 0.6× 16 339
Nurbol Luktarhan China 11 291 0.9× 271 1.0× 203 2.1× 118 1.8× 18 0.6× 24 422
Han Han China 7 193 0.6× 154 0.5× 98 1.0× 34 0.5× 25 0.8× 27 309
Boldizsár Bencsáth Hungary 8 240 0.8× 137 0.5× 167 1.7× 139 2.1× 52 1.7× 9 325
Jianguo Jiang China 7 148 0.5× 106 0.4× 126 1.3× 61 0.9× 13 0.4× 47 217
Kymie Tan United States 8 263 0.8× 184 0.6× 146 1.5× 73 1.1× 52 1.7× 17 327
Yining Zhao China 8 182 0.6× 181 0.6× 25 0.3× 43 0.7× 27 0.9× 16 284
Esraa Saleh Alomari Iraq 7 282 0.9× 202 0.7× 187 1.9× 70 1.1× 17 0.6× 14 340
Frederica F. Nelson United States 8 258 0.8× 96 0.3× 137 1.4× 118 1.8× 56 1.9× 28 326

Countries citing papers authored by Haowen Xu

Since Specialization
Citations

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

Fields of papers citing papers by Haowen Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haowen Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Haowen Xu. A scholar is included among the top collaborators of Haowen Xu 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 Haowen Xu. Haowen Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Xu, Haowen, et al.. (2025). A Bi-level Stochastic-Robust Optimal Bidding Model of Wind-Storage System in Spot Markets Considering Internal and External Uncertainties. International Journal of Electrical Power & Energy Systems. 167. 110591–110591. 1 indexed citations
2.
Fan, Hongwei, Qingshan Li, Xiangang Cao, et al.. (2024). A novel intelligent fault diagnosis method of helical gear with multi-channel information fused images under small samples. Applied Acoustics. 228. 110357–110357. 4 indexed citations
3.
Fan, Hongwei, Haowen Xu, Wei Fan, et al.. (2024). Cloud–Edge Collaborative Intelligent Fault Diagnosis of Rotor-Bearing System: Methodology and Experiment. IEEE Sensors Journal. 25(3). 5044–5059. 2 indexed citations
4.
Fan, Hongwei, Xiangang Cao, Qingshan Li, et al.. (2024). An intelligent multi-element fault diagnosis method of rolling bearings considering damage degrees and sensor abnormity under small samples. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 239(7). 2334–2356. 2 indexed citations
5.
Xie, Zhe, et al.. (2023). Unsupervised Anomaly Detection on Microservice Traces through Graph VAE. 2874–2884. 16 indexed citations
6.
Liu, Ping, Haowen Xu, Rui Jiao, et al.. (2020). Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks. 48–58. 106 indexed citations
8.
Chen, Wenxiao, Haowen Xu, Zeyan Li, et al.. (2019). Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE. 1891–1899. 73 indexed citations
9.
Xu, Haowen, et al.. (2018). AutoLoss: Learning Discrete Schedules for Alternate Optimization.. arXiv (Cornell University). 4 indexed citations
10.
Liu, Dapeng, Youjian Zhao, Haowen Xu, et al.. (2015). Opprentice. 211–224. 181 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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