Ran Xu
Impact in
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- Air Quality and Health Impacts
- Automotive Engineering top 10%
- Vehicle emissions and performance
Papers in
-
- Topic Modeling 5
- Machine Learning in Healthcare 3
- Natural Language Processing Techniques 2
-
- Air Quality and Health Impacts 4
- Co-authors
- Jianlei Lang (2 shared papers)Xiaowen Yang (4 shared papers)Shuiyuan Cheng (3 shared papers)Zhe Lv (2 shared papers)Shuiyuan Cheng (1 shared paper)Tingting Li (1 shared paper)Ying Zhou (1 shared paper)Chao Liu (1 shared paper)
- Journals
- Environmental Pollution (1 paper)Journal of Nutrition (1 paper)IEEE Robotics and Automation Letters (1 paper)Journal of Environmental Sciences (1 paper)Frontiers in Genetics (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ran Xu
15 papers receiving 290 citations
Peers
Comparison fields: 5 of 66
- Health, Toxicology and Mutagenesis 129
- Automotive Engineering 89
- Atmospheric Science 109
- Health Informatics 6
- Global and Planetary Change 90
Countries citing papers authored by Ran Xu
This map shows the geographic impact of Ran Xu'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 Ran Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Xu more than expected).
Fields of papers citing papers by Ran Xu
This network shows the impact of papers produced by Ran Xu. 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 Ran Xu. The network helps show where Ran Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 105 | |
| 2 | 2018 | 72 | |
| 3 | 2023 | 32 | |
| 4 | 2024 | 26 | |
| 5 | 2018 | 20 | |
| 6 | 2024 | 7 | |
| 7 | 2019 | 6 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 4 | |
| 11 | Establishment of aircraft emission inventory for Beijing Capital International Airport | 2016 | 3 |
| 12 | 2024 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Ran Xu
Ran Xu is a scholar working on Artificial Intelligence, Health, Toxicology and Mutagenesis, Automotive Engineering, Molecular Biology and General Economics, Econometrics and Finance, having authored 17 papers that have together received 293 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Air Quality and Health Impacts (4 papers), Vehicle emissions and performance (3 papers), Machine Learning in Healthcare (3 papers), Atmospheric chemistry and aerosols (2 papers), Biomedical Text Mining and Ontologies (2 papers), Natural Language Processing Techniques (2 papers) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (129 citations), Automotive Engineering (89 citations), Atmospheric Science (109 citations), Health Informatics (6 citations) and Global and Planetary Change (90 citations). Ran Xu has collaborated with scholars based in China and United States. Frequent co-authors include Jianlei Lang, Xiaowen Yang, Shuiyuan Cheng, Zhe Lv, Shuiyuan Cheng, Tingting Li, Ying Zhou, Chao Liu, Dongsheng Chen and Carl Yang. Their work appears in journals such as Environmental Pollution, Journal of Nutrition, IEEE Robotics and Automation Letters, Journal of Environmental Sciences and Frontiers in Genetics.
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.