Jian Pei is a scholar working on Artificial Intelligence, Information Systems and Signal Processing.
According to data from OpenAlex, Jian Pei has authored 466 papers receiving a total of 30.4k indexed citations (citations by other indexed papers that have themselves been cited), including 226 papers in Artificial Intelligence, 169 papers in Information Systems and 138 papers in Signal Processing. Recurrent topics in Jian Pei's work include Data Management and Algorithms (121 papers), Data Mining Algorithms and Applications (107 papers) and Advanced Database Systems and Queries (57 papers). Jian Pei is often cited by papers focused on Data Management and Algorithms (121 papers), Data Mining Algorithms and Applications (107 papers) and Advanced Database Systems and Queries (57 papers). Jian Pei collaborates with scholars based in Canada, United States and China. Jian Pei's co-authors include Jiawei Han, Yiwen Yin, Jiawei Han, Peng Cui, Wenwu Zhu, Bin Zhou, Umeshwar Dayal, Qiming Chen, Meichun Hsu and Xuemin Lin and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and SHILAP Revista de lepidopterología.
In The Last Decade
Jian Pei
450 papers
receiving
28.4k citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Mining frequent patterns without candidate generation
20003.9k citationsJiawei Han, Jian Pei et al.profile →
Mining frequent patterns without candidate generation
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).
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 of co-authors of Jian Pei
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Pei.
A scholar is included among the top collaborators of Jian 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 Jian Pei. Jian Pei is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bao, Han, Yao Sun, Li Y, et al.. (2020). Preparation, Characterization, and Pharmacokinetic Study of a Novel Long-Acting Targeted Paclitaxel Liposome with Antitumor Activity. SHILAP Revista de lepidopterología.5 indexed citations
Chu, Lingyang, et al.. (2017). Finding Theme Communities from Database Networks: from Mining to Indexing and Query Answering.. arXiv (Cornell University).1 indexed citations
10.
Tang, Guoming, et al.. (2013). Is My Electricity Bill Accurate? A Model-Driven Approach to Corrupted Load Data Identification.. arXiv (Cornell University).
Zhou, Bin & Jian Pei. (2008). Preserving Privacy in Social Networks Against Neighborhood Attacks. 506–515.461 indexed citations breakdown →
14.
Varde, Aparna S. & Jian Pei. (2007). Proceedings of the ACM first Ph.D. workshop in CIKM.2 indexed citations
15.
Pei, Jian, Bin Jiang, Xuemin Lin, & Yidong Yuan. (2007). Probabilistic skylines on uncertain data. Very Large Data Bases. 15–26.308 indexed citations
16.
Ming, Hua, Jian Pei, Ada W. C. Fu, Xuemin Lin, & Ho-fung Leung. (2007). Efficiently answering top-k typicality queries on large databases. Very Large Data Bases. 890–901.21 indexed citations
Dong, Guozhu, et al.. (2001). Mining Multi-Dimensional Constrained Gradients in Data Cubes. Journal of Bioresource Management. 321–330.30 indexed citations
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.