Long Yan
Impact in
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- Autonomous Vehicle Technology and Safety
Papers in
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- Cerebrovascular and Carotid Artery Diseases 11
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- Traffic control and management 2
- Co-authors
- Junlan Chen (3 shared papers)Ke Wang (3 shared papers)Long Chen (1 shared paper)Gang Li (1 shared paper)Tao Chen (1 shared paper)Ning Ma (11 shared papers)Ying Yu (9 shared papers)Xin Lou (10 shared papers)
- Journals
- Journal of neurosurgery (2 papers)Frontiers in Neurology (2 papers)Acta Pharmaceutica Sinica B (1 paper)BioMed Research International (1 paper)Therapeutic Advances in Neurological Disorders (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Long Yan
41 papers receiving 264 citations
Peers
Comparison fields: 5 of 81
- Transplantation 11
- Automotive Engineering 40
- Safety, Risk, Reliability and Quality 29
- Pulmonary and Respiratory Medicine 68
- Computer Vision and Pattern Recognition 46
Countries citing papers authored by Long Yan
This map shows the geographic impact of Long 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 Long Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Yan more than expected).
Fields of papers citing papers by Long Yan
This network shows the impact of papers produced by Long 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 Long Yan. The network helps show where Long Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Long 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 67 | |
| 2 | 2021 | 20 | |
| 3 | 2019 | 19 | |
| 4 | 2013 | 18 | |
| 5 | 2019 | 18 | |
| 6 | 2016 | 9 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 7 | |
| 11 | 2016 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2017 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2022 | 4 |
About Long Yan
Long Yan is a scholar working on Pulmonary and Respiratory Medicine, Control and Systems Engineering, Electrical and Electronic Engineering, Automotive Engineering and Molecular Biology, having authored 46 papers that have together received 276 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (11 papers), Autonomous Vehicle Technology and Safety (4 papers), Power Systems and Technologies (3 papers), Human-Automation Interaction and Safety (2 papers), Advanced Neural Network Applications (2 papers), Traffic Prediction and Management Techniques (2 papers), Industrial Vision Systems and Defect Detection (2 papers) and Traffic control and management (2 papers). The work is most often cited by research in Transplantation (11 citations), Automotive Engineering (40 citations), Safety, Risk, Reliability and Quality (29 citations), Pulmonary and Respiratory Medicine (68 citations) and Computer Vision and Pattern Recognition (46 citations). Long Yan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Junlan Chen, Ke Wang, Long Chen, Gang Li, Tao Chen, Ning Ma, Ying Yu, Xin Lou, Zhongrong Miao and Yongjun Wang. Their work appears in journals such as Journal of neurosurgery, Frontiers in Neurology, Acta Pharmaceutica Sinica B, BioMed Research International and Therapeutic Advances in Neurological Disorders.
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.