An Yan
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Transportation top 5%
- Transportation Planning and Optimization
- Urban Transport and Accessibility
Papers in
-
- Topic Modeling 3
-
- Multimodal Machine Learning Applications 4
- Co-authors
- Richard Arnott (1 shared paper)Chongyang Shen (5 shared papers)Julian McAuley (4 shared papers)Jiang Du (1 shared paper)Amilcare Gentili (2 shared papers)Xing Lü (1 shared paper)Eric Chang (1 shared paper)Chun‐Nan Hsu (2 shared papers)
- Journals
- Agronomy (5 papers)Cement and Concrete Research (3 papers)International Journal of Environmental Research and Public Health (2 papers)Frontiers in Neurorobotics (1 paper)Applied Surface Science (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
An Yan
57 papers receiving 728 citations
Peers
Comparison fields: 5 of 117
- Health Informatics 41
- Transportation 77
- Pollution 84
- Industrial and Manufacturing Engineering 62
- Automotive Engineering 76
Countries citing papers authored by An Yan
This map shows the geographic impact of An Yan'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 An Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites An Yan more than expected).
Fields of papers citing papers by An Yan
This network shows the impact of papers produced by An Yan. 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 An Yan. The network helps show where An Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside An Yan, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 98 | |
| 2 | 2000 | 74 | |
| 3 | 2019 | 67 | |
| 4 | 2018 | 43 | |
| 5 | 2022 | 31 | |
| 6 | 2022 | 30 | |
| 7 | 2021 | 29 | |
| 8 | 2018 | 26 | |
| 9 | 2020 | 23 | |
| 10 | 2019 | 22 | |
| 11 | 2014 | 20 | |
| 12 | 2021 | 20 | |
| 13 | 2001 | 20 | |
| 14 | 1999 | 20 | |
| 15 | 2016 | 19 | |
| 16 | 2022 | 19 | |
| 17 | 2022 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 2021 | 13 | |
| 20 | 2022 | 12 |
About An Yan
An Yan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Environmental Engineering, Soil Science and Water Science and Technology, having authored 63 papers that have together received 755 indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (6 papers), Multimodal Machine Learning Applications (4 papers), Topic Modeling (3 papers), Fecal contamination and water quality (3 papers), Advanced Photocatalysis Techniques (2 papers), Ruminant Nutrition and Digestive Physiology (2 papers), Concrete and Cement Materials Research (2 papers) and Industrial Technology and Control Systems (2 papers). The work is most often cited by research in Health Informatics (41 citations), Transportation (77 citations), Pollution (84 citations), Industrial and Manufacturing Engineering (62 citations) and Automotive Engineering (76 citations). An Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Richard Arnott, Chongyang Shen, Julian McAuley, Jiang Du, Amilcare Gentili, Xing Lü, Eric Chang, Chun‐Nan Hsu, Zhen Li and Tiantian Li. Their work appears in journals such as Agronomy, Cement and Concrete Research, International Journal of Environmental Research and Public Health, Frontiers in Neurorobotics and Applied Surface Science.
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.