Guansong Pang
- Artificial Intelligence top 0.5%
- Computer Networks and Communications top 1%
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Chunhua ShenAnton van den HengelXiao BaiShengyi JiangLongbing CaoJohan VerjansYan ChengGustavo Carneiro
- Topics
- Anomaly Detection Techniques and Applications (53 papers)Network Security and Intrusion Detection (28 papers)Time Series Analysis and Forecasting (8 papers)
In The Last Decade
Guansong Pang
74 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 2.1k
- Computer Networks and Communications 950
- Computer Vision and Pattern Recognition 725
- Signal Processing 386
- Radiology, Nuclear Medicine and Imaging 290
Countries citing papers authored by Guansong Pang
This map shows the geographic impact of Guansong Pang'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 Guansong Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guansong Pang more than expected).
Fields of papers citing papers by Guansong Pang
This network shows the impact of papers produced by Guansong Pang. 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 Guansong Pang. The network helps show where Guansong Pang may publish in the future.
Co-authorship network of co-authors of Guansong Pang
This figure shows the co-authorship network connecting the top 25 collaborators of Guansong Pang. A scholar is included among the top collaborators of Guansong Pang 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 Guansong Pang. Guansong Pang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 23 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detectionbreakdown → | 48 |
| 9 | 6 | |
| 10 | Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospectsbreakdown → | 83 |
| 11 | VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detectionbreakdown → | 54 |
| 12 | 8 | |
| 13 | 9 | |
| 14 | 0 | |
| 15 | Deep Isolation Forest for Anomaly Detectionbreakdown → | 189 |
| 16 | Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors. | 5 |
| 17 | 30 | |
| 18 | 35 | |
| 19 | Outlier detection in complex categorical data by modelling the feature value couplings | 40 |
| 20 | 239 |
About Guansong Pang
Guansong Pang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 79 papers that have together received 2.8k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (53 papers), Network Security and Intrusion Detection (28 papers) and Time Series Analysis and Forecasting (8 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Computer Networks and Communications (950 citations) and Signal Processing (386 citations). Guansong Pang has collaborated with scholars based in Singapore, Australia and China. Frequent co-authors include Chunhua Shen, Anton van den Hengel, Xiao Bai, Shengyi Jiang, Longbing Cao, Johan Verjans, Yan Cheng, Gustavo Carneiro, Yu Tian and Hongzuo Xu. Their work appears in journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.
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.