Dan Luo

1.2k citations
82 papers · 844 · h-index 16

Impact in

Papers in

    • Topic Modeling 8
    • Natural Language Processing Techniques 7
    • Semantic Web and Ontologies 6
    • Imbalanced Data Classification Techniques 4
    • Advanced Graph Neural Networks 4
    • Data Mining Algorithms and Applications 8

Dan Luo

75 papers receiving 812 citations

Peers

Dan Luo
Comparison fields: 5 of 145
  • General Economics, Econometrics and Finance 63
  • Atmospheric Science 91
  • Global and Planetary Change 103
  • Artificial Intelligence 145
  • Marketing 38
Replace Zhu Xiang with:
Zhu Xiang China
Waldemar Ratajczak Poland
Ze Zhang China
Allan McQuarrie United States
David Rolnick United States
Wenhua Li China
Peter M. Hollingsworth United Kingdom
Martin Sköld Sweden
Minggang Wang China
Dan Luo relative to Zhu Xiang China Zhu Xiang's profile →
Citations per field
00.5×2×4×6×7.9×
Zhu Xiang · 1×
Citations per year

Countries citing papers authored by Dan Luo

Since Specialization
Citations

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

Fields of papers citing papers by Dan Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Luo, 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 Dan Luo Line = papers co-authored together Dan Luo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003141
2 200953
3 202246
4 201341
5 201836
6 202135
7 202132
8 202226
9 201526
10 201426
11 201724
12 202320
13 202119
14
The influence of colour and image on consumer purchase intentions of convenience food
201918
15 199918
16 202516
17 202316
18 201216
19 202315
20 202215

About Dan Luo

Dan Luo is a scholar working on Artificial Intelligence, Information Systems, Marketing, Signal Processing and Computer Networks and Communications, having authored 82 papers that have together received 844 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Data Mining Algorithms and Applications (8 papers), Natural Language Processing Techniques (7 papers), Semantic Web and Ontologies (6 papers), Computational Drug Discovery Methods (4 papers), Endometriosis Research and Treatment (4 papers), Imbalanced Data Classification Techniques (4 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (63 citations), Atmospheric Science (91 citations), Global and Planetary Change (103 citations), Artificial Intelligence (145 citations) and Marketing (38 citations). Dan Luo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jieying Liu, Dafang Zhuang, Xiangming Xiao, Longbing Cao, Chengqi Zhang, Jan K. Brueckner, Yanchang Zhao, Wei Zeng, Qing He and Fuzhen Zhuang. Their work appears in journals such as Pharmacological Research, Advanced Materials, Lecture notes in computer science, Review of Industrial Organization and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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