Dan Luo

1.1k citations
83 papers · 817 · h-index 16

Impact in

Papers in

    • Topic Modeling 8
    • Natural Language Processing Techniques 7
    • Semantic Web and Ontologies 6
    • Advanced Graph Neural Networks 4
    • Imbalanced Data Classification Techniques 4
    • Data Mining Algorithms and Applications 9

Dan Luo

73 papers receiving 788 citations

Peers

Dan Luo
Comparison fields: 5 of 145
  • General Economics, Econometrics and Finance 72
  • Atmospheric Science 92
  • Global and Planetary Change 104
  • Marketing 41
  • Artificial Intelligence 144
Replace Juan Evangelista Trinidad Segovia with:
Juan Evangelista Trinidad Segovia Spain
Yuanyuan Chen China
Minghua Zhao China
Peter Hollingsworth United Kingdom
Naixia Mou China
Allan McQuarrie United States
Zhu Xiang China
John C. Handley United States
Dan Luo relative to Juan Evangelista Trinidad Segovia Spain Juan Evangelista Trinidad Segovia's profile →
Citations per field
00.5×
Juan Evangelista Trinidad Segovia · 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 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003144
2 200953
3 201348
4 202243
5 201836
6 202134
7 202133
8 201431
9 201525
10 202224
11 201723
12 199919
13 202118
14
The influence of colour and image on consumer purchase intentions of convenience food
201918
15 202317
16 201216
17 202315
18 202314
19 202213
20 202312

About Dan Luo

Dan Luo is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Marketing, having authored 83 papers that have together received 817 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), Semantic Web and Ontologies (6 papers), Computational Drug Discovery Methods (4 papers), Advanced Graph Neural Networks (4 papers), Imbalanced Data Classification Techniques (4 papers) and Endometriosis Research and Treatment (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (72 citations), Atmospheric Science (92 citations), Global and Planetary Change (104 citations), Marketing (41 citations) and Artificial Intelligence (144 citations). Dan Luo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xiangming Xiao, J. Y. Liu, Dafang Zhuang, Longbing Cao, Jan K. Brueckner, Chengqi Zhang, Yanchang Zhao, Jinlong Chen, Qing He and Wei Tang. Their work appears in journals such as Advanced Materials, Pharmacological Research, Lecture notes in computer science, Marine Pollution Bulletin and Advanced Energy Materials.

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.

Explore authors with similar magnitude of impact