Changhua Pei
- Information Systems top 0.5%
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Management Science and Operations Research top 2%
- Computer Networks and Communications top 5%
- Co-authors
- Fei SunPeng JiangWenwu OuLin XiaoJian WuJun LiuHanxiao SunDan Pei
- Topics
- Software System Performance and Reliability (10 papers)Anomaly Detection Techniques and Applications (9 papers)Network Security and Intrusion Detection (6 papers)
- Journals
- IEEE Transactions on Mobile ComputingGerontechnologyProceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Changhua Pei
27 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Information Systems 1.2k
- Artificial Intelligence 988
- Computer Vision and Pattern Recognition 380
- Management Science and Operations Research 339
- Computer Networks and Communications 223
Countries citing papers authored by Changhua Pei
This map shows the geographic impact of Changhua Pei'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 Changhua Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changhua Pei more than expected).
Fields of papers citing papers by Changhua Pei
This network shows the impact of papers produced by Changhua Pei. 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 Changhua Pei. The network helps show where Changhua Pei may publish in the future.
Co-authorship network of co-authors of Changhua Pei
This figure shows the co-authorship network connecting the top 25 collaborators of Changhua Pei. A scholar is included among the top collaborators of Changhua Pei 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 Changhua Pei. Changhua Pei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 28 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 40 | |
| 18 | 31 | |
| 19 | 2 | |
| 20 | 2 |
About Changhua Pei
Changhua Pei is a scholar working on Computer Networks and Communications, Software and Artificial Intelligence, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Software System Performance and Reliability (10 papers), Anomaly Detection Techniques and Applications (9 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Information Systems (1.2k citations), Artificial Intelligence (988 citations) and Management Science and Operations Research (339 citations). Changhua Pei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fei Sun, Peng Jiang, Wenwu Ou, Lin Xiao, Jian Wu, Jun Liu, Hanxiao Sun, Dan Pei, Yongfeng Zhang and Yuan Meng. Their work appears in journals such as IEEE Transactions on Mobile Computing, Gerontechnology and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
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.