Ling Luo
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Health Informatics top 5%
Papers in
-
- Biomedical Text Mining and Ontologies 33
- Bioinformatics and Genomic Networks 6
-
- Topic Modeling 33
- Natural Language Processing Techniques 13
- Advanced Text Analysis Techniques 5
- Co-authors
- Hongfei Lin (30 shared papers)Zhihao Yang (28 shared papers)Yin Zhang (8 shared papers)Lei Wang (9 shared papers)Jian Wang (10 shared papers)Zhehuan Zhao (10 shared papers)Pei Yang (3 shared papers)Po‐Ting Lai (11 shared papers)
- Journals
- Bioinformatics (7 papers)Database (4 papers)Journal of Biomedical Informatics (4 papers)Nucleic Acids Research (3 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ling Luo
91 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 824
- Health Informatics 27
- Molecular Biology 788
- Toxicology 38
- Computational Theory and Mathematics 165
Countries citing papers authored by Ling Luo
This map shows the geographic impact of Ling 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 Ling Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Luo more than expected).
Fields of papers citing papers by Ling Luo
This network shows the impact of papers produced by Ling 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 Ling Luo. The network helps show where Ling Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 299 | |
| 2 | 2016 | 170 | |
| 3 | 2017 | 102 | |
| 4 | 2022 | 81 | |
| 5 | 2020 | 70 | |
| 6 | 2024 | 53 | |
| 7 | 2018 | 49 | |
| 8 | 2024 | 48 | |
| 9 | 2019 | 41 | |
| 10 | 2008 | 40 | |
| 11 | 2021 | 39 | |
| 12 | 2021 | 38 | |
| 13 | 2018 | 35 | |
| 14 | 2018 | 33 | |
| 15 | 2017 | 33 | |
| 16 | 2019 | 32 | |
| 17 | 2019 | 31 | |
| 18 | 2017 | 29 | |
| 19 | 2018 | 28 | |
| 20 | 2020 | 24 |
About Ling Luo
Ling Luo is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Electrical and Electronic Engineering and Biomedical Engineering, having authored 104 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (33 papers), Biomedical Text Mining and Ontologies (33 papers), Natural Language Processing Techniques (13 papers), Sugarcane Cultivation and Processing (6 papers), Bioinformatics and Genomic Networks (6 papers), Advanced Text Analysis Techniques (5 papers), Biofuel production and bioconversion (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Artificial Intelligence (824 citations), Health Informatics (27 citations), Molecular Biology (788 citations), Toxicology (38 citations) and Computational Theory and Mathematics (165 citations). Ling Luo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongfei Lin, Zhihao Yang, Yin Zhang, Lei Wang, Jian Wang, Zhehuan Zhao, Pei Yang, Po‐Ting Lai, Jian Wang and Chih-Hsuan Wei. Their work appears in journals such as Bioinformatics, Database, Journal of Biomedical Informatics, Nucleic Acids Research and PLoS ONE.
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.