Qingsong Wen
- Signal Processing top 1%
- Time Series Analysis and Forecasting 36
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications 29
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- Stock Market Forecasting Methods 13
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- Network Security and Intrusion Detection 11
- Building and Construction top 5%
- Traffic Prediction and Management Techniques 10
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- Energy Load and Power Forecasting 14
- Advanced Wireless Communication Techniques 12
- PAPR reduction in OFDM 10
- Co-authors
- Tian ZhouChaoli ZhangLiang SunJunchi YanZiqing MaWeiqi ChenYi WangXiaomin Song
- Journals
- IEEE Transactions on Smart Grid (6 papers)Proceedings of the VLDB Endowment (4 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Qingsong Wen
94 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Signal Processing 646
- Artificial Intelligence 825
- Management Science and Operations Research 291
- Computer Networks and Communications 421
- Building and Construction 200
Countries citing papers authored by Qingsong Wen
This map shows the geographic impact of Qingsong 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 Qingsong Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingsong Wen more than expected).
Fields of papers citing papers by Qingsong Wen
This network shows the impact of papers produced by Qingsong 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 Qingsong Wen. The network helps show where Qingsong Wen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qingsong Wen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 4 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 4 | |
| 6 | 2025 | 4 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 2 | |
| 9 | 2025 | 0 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 8 | |
| 13 | 2024 | 15 | |
| 14 | A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detectionbreakdown → | 2024 | 139 |
| 15 | 2024 | 12 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 1 | |
| 18 | DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detectionbreakdown → | 2023 | 101 |
| 19 | 2023 | 24 | |
| 20 | 2023 | 50 |
About Qingsong Wen
Qingsong Wen is a scholar working on Signal Processing, Management Science and Operations Research, Artificial Intelligence, Computer Networks and Communications and Building and Construction, having authored 108 papers that have together received 2.1k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (36 papers), Anomaly Detection Techniques and Applications (29 papers), Energy Load and Power Forecasting (14 papers), Stock Market Forecasting Methods (13 papers), Advanced Wireless Communication Techniques (12 papers), Network Security and Intrusion Detection (11 papers), Traffic Prediction and Management Techniques (10 papers) and PAPR reduction in OFDM (10 papers). The work is most often cited by research in Signal Processing (646 citations), Artificial Intelligence (825 citations), Management Science and Operations Research (291 citations), Computer Networks and Communications (421 citations) and Building and Construction (200 citations). Qingsong Wen has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Tian Zhou, Chaoli Zhang, Liang Sun, Liang Sun, Junchi Yan, Ziqing Ma, Weiqi Chen, Yi Wang, Xiaomin Song and Jingkun Gao. Their work appears in journals such as IEEE Transactions on Smart Grid, Proceedings of the VLDB Endowment, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Power 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.