Xidao Wen

1.0k citations

29 papers · 621 indexed · 1 hit paper · h-index 13

Impact in

Computational Mathematics top 10%
Signal Processing top 5%
- Time Series Analysis and Forecasting

Papers in

Co-authors: Yu‐Ru Lin Dan Pei Ya Su Youjian Zhao Zhihan Li Rui Jiao Christoph Trattner Denis Parra
Journals: ACM Transactions on Knowledge Discovery from Data (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Computer Communications (1 paper)Risk Analysis (1 paper)Knowledge and Information Systems (1 paper)
Partner nations: United States China Chile

In The Last Decade

Xidao Wen

27 papers receiving 602 citations

Hit Papers

align trajectories log scale

Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding 2021 · 215 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding

Peers

Countries citing papers authored by Xidao Wen

Since Specialization

Citations

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

Fields of papers citing papers by Xidao Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

#	Work
1	ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning Proceedings of the VLDB Endowment ·武夫中島, Zeyan Li, Xiao-Gang He, Liming Xu, Xidao Wen, Tieying Zhang, Jianjun Chen, Run Shi, Dan Pei	2025	3
2	Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems Zhaowei Jiang, Shenglin Zhang, Seye Mn, Полина Иващенко, 王生平, Shoemaker DM, Rafael Valente Pechi, Xidao Wen, Dan Pei	2024	2
3	Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer Zhaowei Jiang, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Ruddy KABAMBI TSHITADI, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei	2024	4
4	Guardian of the Resiliency: Detecting Erroneous Software Changes Before They Make Your Microservice System Less Fault-Resilient 宫晶瑛, Xiaohui Nie, 美和子北代, Kun Wang, Zhaoyang Yu, Xidao Wen, Nathan Nugen, Dan Pei	2024	0
5	Multivariate Time Series Anomaly Detection based on Pre-trained Models with Dual-Attention Mechanism Yongqian Sun, Yang Guo, 陽子藁谷, Xidao Wen, Junhua Kuang, Shenglin Zhang, Mansur Muhammad Bello, Kun Xia, Dan Pei	2024	0
6	AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment Zhaoyang Yu, Changhua Pei, Shenglin Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei	2023	4
7	Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data RM Walker, Nathan Nugen, Z.J. Bergstrom, Xidao Wen, Shenglin Zhang, Wenchi Zhang, Ahmed M. M. Abdelhafez, Changcheng Xi, Xing Jin, Dan Pei	2022	11
8	Detecting Outlier Machine Instances Through Gaussian Mixture Variational Autoencoder With One Dimensional CNN IEEE Transactions on Computers ·Ya Su, Youjian Zhao, Ming Sun, Shenglin Zhang, Xidao Wen, Alberto Nakamoto, Xian Liu, Bold Bella, Anne M. Janzer-Pfeil, Wenfei Wu, Dan Pei	2021	30
9	Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding Zhihan Li, Youjian Zhao, А.С. Розанов, Ya Su, Rui Jiao, Xidao Wen, Dan Pei Hit paper breakdown →	2021	215
10	An empirical investigation of practical log anomaly detection for online service systems Nengwen Zhao, Honglin Wang, Zeyan Li, Xiao Peng, Gang Wang, Yadollah Sanahmadi, Bohringer Hr, Zhen Feng, Xidao Wen, Wenchi Zhang, Kaixin Sui, Dan Pei	2021	39
11	Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses Xidao Wen, Yu‐Ru Lin, Xi Liu, Peter Brusilovsky, Edvard Kocbek	2019	4
12	Event Analytics via Discriminant Tensor Factorization ACM Transactions on Knowledge Discovery from Data ·Xidao Wen, Yu‐Ru Lin, Konstantinos Pelechrinis	2018	2
13	A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games Xi Liu, F. Bagheri, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang	2018	26
14	Tracking and Analyzing Individual Distress Following Terrorist Attacks Using Social Media Streams Risk Analysis ·Yu‐Ru Lin, Drew Margolin, Xidao Wen	2017	30
15	PairFac Xidao Wen, Yu‐Ru Lin, Konstantinos Pelechrinis	2016	8
16	Tweeting Questions in Academic Conferences: Seeking or Promoting Information? D-Scholarship@Pitt (University of Pittsburgh) ·Xidao Wen, Yu‐Ru Lin	2015	2
17	Twitter in academic events: A study of temporal usage, communication, sentimental and topical patterns in 16 Computer Science conferences Computer Communications ·Denis Parra, Christoph Trattner, E. Knuuti, 西林, Xidao Wen, Yu‐Ru Lin	2015	36
18	How groups of people interact with each other on Twitter during academic conferences Xidao Wen, Denis Parra, Christoph Trattner	2014	8
19	Who will trade with whom? Christoph Trattner, Denis Parra, 知己加藤, Xidao Wen	2014	7
20	Twitter in academic conferences Xidao Wen, Yu‐Ru Lin, Christoph Trattner, Denis Parra	2014	19

About Xidao Wen

Xidao Wen is a scholar working on Computational Mathematics, Communication, Statistical and Nonlinear Physics, Signal Processing and Computer Science Applications, having authored 29 papers that have together received 621 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (11 papers), Network Security and Intrusion Detection (9 papers), Complex Network Analysis Techniques (7 papers), Time Series Analysis and Forecasting (6 papers), Software System Performance and Reliability (4 papers), Recommender Systems and Techniques (4 papers), Expert finding and Q&A systems (3 papers) and Digital Marketing and Social Media (3 papers). The work is most often cited by research in Computational Mathematics (11 citations), Signal Processing (175 citations), Artificial Intelligence (381 citations), Computer Networks and Communications (254 citations) and Communication (66 citations). Xidao Wen has collaborated with scholars based in United States, China and Chile. Frequent co-authors include Yu‐Ru Lin, Dan Pei, Ya Su, Youjian Zhao, Zhihan Li, Rui Jiao, Christoph Trattner, Denis Parra, Nan Cao and Drew Margolin. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Visualization and Computer Graphics, Computer Communications, Risk Analysis and Knowledge and Information Systems.

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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