Liqiang Geng

1.6k citations
15 papers · 882 indexed · 1 hit paper · h-index 8
Topics
Data Mining Algorithms and Applications (6 papers)Data Management and Algorithms (5 papers)Advanced Database Systems and Queries (4 papers)
Partner nations
CanadaChinaJapan

In The Last Decade

Liqiang Geng

13 papers receiving 824 citations

Hit Papers

Interestingness measures for data mining20062026201220192006200400600

Peers

Liqiang Geng
Comparison fields: 5 of 119
  • Information Systems 555
  • Artificial Intelligence 392
  • Computational Theory and Mathematics 339
  • Signal Processing 220
  • Computer Networks and Communications 69
Replace C. J. Carmona with:
C. J. Carmona Spain
Gholamreza Nakhaeizadeh Germany
Amedeo Napoli France
Willi Klösgen Germany
Wai-Ho Au Hong Kong
Mika Klemettinen Finland
Rokia Missaoui Canada
John Shafer United States
Doug Burdick United States
Show‐Jane Yen Taiwan
Liqiang Geng relative to C. J. Carmona Spain C. J. Carmona's profile →
Citations per field
00.5×3.1×
C. J. Carmona · 1×
Citations per year

Countries citing papers authored by Liqiang Geng

Since Specialization
Citations

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

Fields of papers citing papers by Liqiang Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liqiang Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Liqiang Geng. A scholar is included among the top collaborators of Liqiang Geng 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 Liqiang Geng. Liqiang Geng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 2
2 2
3 16
4 10
5 31
6 2
7 35
8
A Unified Framework for Utility Based Measures for Mining Itemsets
63
9
Interestingness measures for data miningbreakdown →
654
10 2
11 4
12 2
13 2
14 35
15 22

About Liqiang Geng

Liqiang Geng is a scholar working on Physiology, Signal Processing and Information Systems, having authored 15 papers that have together received 882 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (6 papers), Data Management and Algorithms (5 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Information Systems (555 citations), Computational Theory and Mathematics (339 citations) and Signal Processing (220 citations). Liqiang Geng has collaborated with scholars based in Canada, China and Japan. Frequent co-authors include Howard J. Hamilton, Hong Yao, Christine W. Chan, Hui‐Meng Lu, Peng Shang, Da‐Chuan Yin, Guohe Huang, Zhi Chen, Weihong Guo and Nobuko I. Wakayama. Their work appears in journals such as Expert Systems with Applications, ACM Computing Surveys and Review of Scientific Instruments.

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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