Junli Tao
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
-
- Lung Cancer Diagnosis and Treatment 4
-
- COVID-19 epidemiological studies 4
- Co-authors
- Reinhard Klette (6 shared papers)Bok-Suk Shin (1 shared paper)Shidong Zhai (4 shared papers)Guoqiang Luo (3 shared papers)Ping Zhou (2 shared papers)Tao Huang (1 shared paper)Jiuquan Zhang (8 shared papers)Xin Wang (1 shared paper)
- Journals
- European Radiology (2 papers)Archives of Environmental Contamination and Toxicology (2 papers)Nonlinear Dynamics (2 papers)Diagnostic and Interventional Imaging (1 paper)Nonlinear Analysis Real World Applications (1 paper)
- Partner nations
- ChinaNew ZealandGermany
In The Last Decade
Junli Tao
21 papers receiving 235 citations
Peers
Comparison fields: 5 of 63
- Modeling and Simulation 46
- Automotive Engineering 55
- Computer Vision and Pattern Recognition 71
- Computational Mathematics 1
- Public Health, Environmental and Occupational Health 40
Countries citing papers authored by Junli Tao
This map shows the geographic impact of Junli Tao'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 Junli Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junli Tao more than expected).
Fields of papers citing papers by Junli Tao
This network shows the impact of papers produced by Junli Tao. 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 Junli Tao. The network helps show where Junli Tao may publish in the future.
Co-authors
The 25 scholars most cited alongside Junli Tao, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 52 | |
| 2 | 2021 | 42 | |
| 3 | 2022 | 23 | |
| 4 | 2012 | 21 | |
| 5 | 2013 | 17 | |
| 6 | 2020 | 15 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 10 | |
| 9 | 2010 | 9 | |
| 10 | 2021 | 8 | |
| 11 | 2010 | 7 | |
| 12 | 2013 | 5 | |
| 13 | 2025 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2012 | 3 | |
| 17 | 2015 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Junli Tao
Junli Tao is a scholar working on Pulmonary and Respiratory Medicine, Modeling and Simulation, Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 243 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Advanced X-ray and CT Imaging (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Medical Imaging Techniques and Applications (2 papers), Anomaly Detection Techniques and Applications (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Plant and animal studies (2 papers). The work is most often cited by research in Modeling and Simulation (46 citations), Automotive Engineering (55 citations), Computer Vision and Pattern Recognition (71 citations), Computational Mathematics (1 citation) and Public Health, Environmental and Occupational Health (40 citations). Junli Tao has collaborated with scholars based in China, New Zealand and Germany. Frequent co-authors include Reinhard Klette, Bok-Suk Shin, Shidong Zhai, Guoqiang Luo, Ping Zhou, Tao Huang, Jiuquan Zhang, Xin Wang, Zhenyu Wang and Xiaosong Lan. Their work appears in journals such as European Radiology, Archives of Environmental Contamination and Toxicology, Nonlinear Dynamics, Diagnostic and Interventional Imaging and Nonlinear Analysis Real World Applications.
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.