Jian Pei
Impact in
- Signal Processing top 0.01%
- Data Management and Algorithms
- Information Systems top 0.01%
- Data Mining Algorithms and Applications
Papers in
-
- Data Management and Algorithms 121
-
- Data Mining Algorithms and Applications 107
- Journals
- IEEE Transactions on Knowledge and Data Engineering (36 papers)Proceedings of the VLDB Endowment (20 papers)Knowledge and Information Systems (19 papers)Data Mining and Knowledge Discovery (7 papers)ACM Transactions on Knowledge Discovery from Data (6 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Jian Pei
450 papers receiving 28.4k citations
Hit Papers
Peers
Comparison fields: 5 of 217
- Signal Processing 8.4k
- Information Systems 15.8k
- Artificial Intelligence 16.1k
- Computational Theory and Mathematics 7.5k
- Computer Networks and Communications 5.9k
Countries citing papers authored by Jian Pei
This map shows the geographic impact of Jian 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 Jian Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Pei more than expected).
Fields of papers citing papers by Jian Pei
This network shows the impact of papers produced by Jian 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 Jian Pei. The network helps show where Jian Pei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jian Pei, 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 | 2024 | 3 | |
| 2 | 2024 | 44 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 50 | |
| 8 | Personalized Federated Learning: An Attentive Collaboration Approach. | 2020 | 10 |
| 9 | Preparation, Characterization, and Pharmacokinetic Study of a Novel Long-Acting Targeted Paclitaxel Liposome with Antitumor Activity | 2020 | 5 |
| 10 | 2019 | 6 | |
| 11 | 2012 | 12 | |
| 12 | Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining | 2012 | 39 |
| 13 | Early prediction on time series: a nearest neighbor approach | 2009 | 51 |
| 14 | Proceedings of the ACM first Ph.D. workshop in CIKM | 2007 | 2 |
| 15 | Minimality Attack in Privacy Preserving Data Publishing | 2006 | 185 |
| 16 | Minimum description length principle: generators are preferable to closed patterns | 2006 | 36 |
| 17 | 2004 | 22 | |
| 18 | The inhibitory effects of κ-opioid receptor on cardiac hypertrophy | 2002 | 1 |
| 19 | Mining Multi-Dimensional Constrained Gradients in Data Cubes | 2001 | 30 |
| 20 | CLOSET : An Efficient Algorithm for Mining Frequent Closed Itemsets | 2000 | 486 |
About Jian Pei
Jian Pei is a scholar working on Signal Processing, Information Systems, Artificial Intelligence, Computer Networks and Communications and Geography, Planning and Development, having authored 466 papers that have together received 30.4k indexed citations. Recurring topics across this work include Data Management and Algorithms (121 papers), Data Mining Algorithms and Applications (107 papers), Advanced Database Systems and Queries (57 papers), Advanced Graph Neural Networks (48 papers), Privacy-Preserving Technologies in Data (46 papers), Complex Network Analysis Techniques (43 papers), Rough Sets and Fuzzy Logic (39 papers) and Topic Modeling (33 papers). The work is most often cited by research in Signal Processing (8.4k citations), Information Systems (15.8k citations), Artificial Intelligence (16.1k citations), Computational Theory and Mathematics (7.5k citations) and Computer Networks and Communications (5.9k citations). Jian Pei has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Jiawei Han, Yiwen Yin, Jiawei Han, Peng Cui, Wenwu Zhu, Bin Zhou, Qiming Chen, Umeshwar Dayal, Meichun Hsu and Xuemin Lin. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, Knowledge and Information Systems, Data Mining and Knowledge Discovery and ACM Transactions on Knowledge Discovery from Data.
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.