Hongjun Lü

6.8k citations
173 papers · 5.2k · h-index 42

Impact in

Papers in

Hongjun Lü

165 papers receiving 4.7k citations

Peers

Hongjun Lü
Comparison fields: 5 of 112
  • Signal Processing 2.6k
  • Computer Networks and Communications 2.6k
  • Information Systems 2.4k
  • Artificial Intelligence 2.6k
  • Computational Theory and Mathematics 1.1k
Replace Victor Vianu with:
Victor Vianu United States
Meichun Hsu United States
Ada Wai-Chee Fu Hong Kong
Catriel Beeri Israel
Minos Garofalakis United States
Alberto O. Mendelzon Canada
S. Sudarshan India
Leonid Libkin United Kingdom
Jayavel Shanmugasundaram United States
Guozhu Dong United States
Hongjun Lü relative to Victor Vianu United States Victor Vianu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hongjun Lü

Since Specialization
Citations

This map shows the geographic impact of Hongjun Lü'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 Hongjun Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongjun Lü more than expected).

Fields of papers citing papers by Hongjun Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hongjun Lü. 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 Hongjun Lü. The network helps show where Hongjun Lü may publish in the future.

Co-authors

The 25 scholars most cited alongside Hongjun Lü, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hongjun Lü Line = papers co-authored together Hongjun Lü links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002305
2 1996274
3 2005216
4 2003208
5 2006178
6 2004161
7 2003127
8 2004122
9 2000117
10 2003116
11 2003100
12 200083
13 199982
14
Stock movement prediction and N-dimensional inter-transaction association rules
199878
15
AFOPT: An Efficient Implementation of Pattern Growth Approach.
200378
16 200477
17 200771
18 200470
19 200269
20 200464

About Hongjun Lü

Hongjun Lü is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Computational Theory and Mathematics, having authored 173 papers that have together received 5.2k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (92 papers), Data Management and Algorithms (89 papers), Data Mining Algorithms and Applications (52 papers), Semantic Web and Ontologies (25 papers), Rough Sets and Fuzzy Logic (20 papers), Algorithms and Data Compression (19 papers), Web Data Mining and Analysis (16 papers) and Distributed systems and fault tolerance (11 papers). The work is most often cited by research in Signal Processing (2.6k citations), Computer Networks and Communications (2.6k citations), Information Systems (2.4k citations), Artificial Intelligence (2.6k citations) and Computational Theory and Mathematics (1.1k citations). Hongjun Lü has collaborated with scholars based in Hong Kong, Singapore and China. Frequent co-authors include Jeffrey Xu Yu, Haifeng Jiang, Beng Chin Ooi, Kian‐Lee Tan, Jiawei Han, Wei Wang, Rudy Setiono, Huan Liu, Jiawei Han and Ling Feng. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM SIGMOD Record, Lecture notes in computer science, Information Systems and Knowledge and Information Systems.

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.

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