Jiawei Han is a scholar working on Artificial Intelligence, Information Systems and Signal Processing.
According to data from OpenAlex, Jiawei Han has authored 742 papers receiving a total of 66.1k indexed citations (citations by other indexed papers that have themselves been cited), including 479 papers in Artificial Intelligence, 256 papers in Information Systems and 180 papers in Signal Processing. Recurrent topics in Jiawei Han's work include Topic Modeling (211 papers), Data Mining Algorithms and Applications (156 papers) and Data Management and Algorithms (155 papers). Jiawei Han is often cited by papers focused on Topic Modeling (211 papers), Data Mining Algorithms and Applications (156 papers) and Data Management and Algorithms (155 papers). Jiawei Han collaborates with scholars based in United States, China and Canada. Jiawei Han's co-authors include Micheline Kamber, Jian Pei, Yiwen Yin, Xifeng Yan, Philip S. Yu, Xiaofei He, Yizhou Sun, Deng Cai, Thomas S. Huang and Jing Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Bioinformatics.
In The Last Decade
Jiawei Han
716 papers
receiving
61.2k 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.
This map shows the geographic impact of Jiawei Han'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 Jiawei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiawei Han more than expected).
This network shows the impact of papers produced by Jiawei Han. 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 Jiawei Han. The network helps show where Jiawei Han may publish in the future.
Co-authorship network of co-authors of Jiawei Han
This figure shows the co-authorship network connecting the top 25 collaborators of Jiawei Han.
A scholar is included among the top collaborators of Jiawei Han 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 Jiawei Han. Jiawei Han is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhang, Yu, Yunyi Zhang, Yu Deng, et al.. (2022). Entity Set Co-Expansion in StackOverflow. 2022 IEEE International Conference on Big Data (Big Data). 4792–4795.4 indexed citations
Huang, Hongzhao, Arkaitz Zubiaga, Heng Ji, et al.. (2012). Tweet Ranking Based on Heterogeneous Networks. International Conference on Computational Linguistics. 1239–1256.20 indexed citations
10.
Wang, Dong, Tarek Abdelzaher, Hossein Ahmadi, et al.. (2011). On Bayesian interpretation of fact-finding in information networks. International Conference on Information Fusion. 1–8.39 indexed citations
Han, Jiawei. (2002). Data mining tasks and methods: Rule discovery: characteristic rules. Oxford University Press eBooks. 339–344.1 indexed citations
17.
Han, Jiawei, Qiang Yang, & Edward Kim. (1999). Plan Mining by Divide-and-Conquer. Rare & Special e-Zone (The Hong Kong University of Science and Technology).6 indexed citations
18.
Lü, Hongjun, Jiawei Han, & Ling Feng. (1998). Stock movement prediction and N-dimensional inter-transaction association rules. International Conference on Management of Data.60 indexed citations
19.
Han, Jiawei, Yongjian Fu, Wei Wang, et al.. (1996). DBMiner: a system for mining knowledge in large relational databases. Knowledge Discovery and Data Mining. 250–255.84 indexed citations
20.
Han, Jiawei & Yongjian Fu. (1994). Dynamic generation and refinement of concept hierarchies for knowledge discovery in databases. Knowledge Discovery and Data Mining. 157–168.95 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.