Dan Luo
Impact in
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- Aviation Industry Analysis and Trends
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- Remote Sensing and Land Use
- Geology and Paleoclimatology Research
Papers in
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- Topic Modeling 5
- Natural Language Processing Techniques 4
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- Advanced Neural Network Applications 3
- Co-authors
- Dafang Zhuang (1 shared paper)Xiangming Xiao (1 shared paper)J. Y. Liu (1 shared paper)Jan K. Brueckner (2 shared papers)Longbing Cao (3 shared papers)Fuzhen Zhuang (2 shared papers)Huaifeng Zhang (1 shared paper)Qing He (2 shared papers)
- Journals
- Pharmacological Research (2 papers)Advanced Materials (2 papers)Nano Energy (1 paper)Economics of Transportation (1 paper)IEEE Geoscience and Remote Sensing Letters (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dan Luo
53 papers receiving 668 citations
Peers
Comparison fields: 5 of 144
- General Economics, Econometrics and Finance 70
- Atmospheric Science 88
- Global and Planetary Change 99
- Marketing 37
- Ecology 79
Countries citing papers authored by Dan Luo
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
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.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 139 | |
| 2 | 2009 | 49 | |
| 3 | 2013 | 46 | |
| 4 | 2022 | 40 | |
| 5 | 2018 | 35 | |
| 6 | 2014 | 31 | |
| 7 | 2021 | 29 | |
| 8 | 2021 | 28 | |
| 9 | 2015 | 24 | |
| 10 | 2022 | 23 | |
| 11 | 2021 | 19 | |
| 12 | 2017 | 19 | |
| 13 | 1999 | 18 | |
| 14 | The influence of colour and image on consumer purchase intentions of convenience food | 2019 | 17 |
| 15 | 2023 | 15 | |
| 16 | 2023 | 13 | |
| 17 | 2023 | 12 | |
| 18 | 2012 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2011 | 11 |
About Dan Luo
Dan Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Marketing, Information Systems and Computational Theory and Mathematics, having authored 60 papers that have together received 689 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Endometriosis Research and Treatment (4 papers), Computational Drug Discovery Methods (4 papers), Reproductive System and Pregnancy (4 papers), Atmospheric and Environmental Gas Dynamics (3 papers), Advanced Neural Network Applications (3 papers) and Oil Spill Detection and Mitigation (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (70 citations), Atmospheric Science (88 citations), Global and Planetary Change (99 citations), Marketing (37 citations) and Ecology (79 citations). Dan Luo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dafang Zhuang, Xiangming Xiao, J. Y. Liu, Jan K. Brueckner, Longbing Cao, Fuzhen Zhuang, Huaifeng Zhang, Qing He, Yanchang Zhao and Chengqi Zhang. Their work appears in journals such as Pharmacological Research, Advanced Materials, Nano Energy, Economics of Transportation and IEEE Geoscience and Remote Sensing Letters.
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.