Hongjun Lü

6.8k citations
136 papers · 3.4k · h-index 35

Impact in

Papers in

Hongjun Lü

129 papers receiving 3.0k citations

Peers

Hongjun Lü
Comparison fields: 5 of 101
  • Signal Processing 1.6k
  • Computer Networks and Communications 1.7k
  • Information Systems 1.4k
  • Artificial Intelligence 1.6k
  • Computational Theory and Mathematics 710
Replace Victor Vianu with:
Victor Vianu United States
Catriel Beeri Israel
S. Sudarshan India
Ada Wai-Chee Fu Hong Kong
Alberto O. Mendelzon Canada
Kevin Beyer United States
Leonid Libkin United Kingdom
Christoph Koch Switzerland
Jayavel Shanmugasundaram United States
Tova Milo Israel
Hongjun Lü relative to Victor Vianu United States Victor Vianu's profile →
Citations per field
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Victor Vianu · 1×
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 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002245
2 1996219
3 2005169
4 2006150
5 2004110
6 2003100
7 200385
8 200083
9 200376
10
Stock movement prediction and N-dimensional inter-transaction association rules
199860
11
AFOPT: An Efficient Implementation of Pattern Growth Approach.
200360
12 200758
13
The Predicting Power of Textual Information on Financial Markets
200552
14 200250
15 200448
16
New Strategies for Computing the Transitive Closure of a Database Relation
198747
17
Optimization of Multi-Way Join Queries for Parallel Execution
199147
18 200247
19 199947
20 200347

About Hongjun Lü

Hongjun Lü is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 136 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (73 papers), Data Management and Algorithms (71 papers), Data Mining Algorithms and Applications (37 papers), Semantic Web and Ontologies (18 papers), Algorithms and Data Compression (17 papers), Rough Sets and Fuzzy Logic (15 papers), Web Data Mining and Analysis (13 papers) and Distributed systems and fault tolerance (10 papers). The work is most often cited by research in Signal Processing (1.6k citations), Computer Networks and Communications (1.7k citations), Information Systems (1.4k citations), Artificial Intelligence (1.6k citations) and Computational Theory and Mathematics (710 citations). Hongjun Lü has collaborated with scholars based in Hong Kong, Singapore and China. Frequent co-authors include Jeffrey Xu Yu, Haifeng Jiang, Kian‐Lee Tan, Beng Chin Ooi, Jiawei Han, Rudy Setiono, Huan Liu, Michael J. Carey, Jiawei Han and Gabriel Pui Cheong Fung. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM SIGMOD Record, The VLDB Journal, World Wide Web and Data Mining and Knowledge Discovery.

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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