Qinglin Lu
Impact in
- Plant Science top 10%
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Plant Disease Resistance and Genetics
- Smart Agriculture and AI
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- Genetic Mapping and Diversity in Plants and Animals
Papers in
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- Wheat and Barley Genetics and Pathology 5
- Smart Agriculture and AI 4
- Plant Disease Resistance and Genetics 3
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- Multimodal Machine Learning Applications 4
- Video Analysis and Summarization 4
- Advanced Vision and Imaging 3
- Co-authors
- Zhonghu He (5 shared papers)Gang Zhou (4 shared papers)Caixia Lan (2 shared papers)Shanshan Liang (2 shared papers)Xianchun Xia (2 shared papers)Di Liu (1 shared paper)Jinxue Jing (1 shared paper)Yaming Lu (1 shared paper)
In The Last Decade
Qinglin Lu
30 papers receiving 454 citations
Peers
Comparison fields: 5 of 58
- Plant Science 376
- Genetics 167
- Agronomy and Crop Science 57
- Soil Science 20
- Analytical Chemistry 18
Countries citing papers authored by Qinglin Lu
This map shows the geographic impact of Qinglin Lu'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 Qinglin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qinglin Lu more than expected).
Fields of papers citing papers by Qinglin Lu
This network shows the impact of papers produced by Qinglin Lu. 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 Qinglin Lu. The network helps show where Qinglin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qinglin Lu, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 96 | |
| 2 | 2012 | 80 | |
| 3 | 2010 | 75 | |
| 4 | 2006 | 56 | |
| 5 | 2019 | 34 | |
| 6 | 2025 | 18 | |
| 7 | 2013 | 17 | |
| 8 | 2021 | 13 | |
| 9 | 2023 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2017 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2019 | 3 | |
| 17 | 2025 | 3 | |
| 18 | [Influential factors analysis on the survival time of patients infected with tuberculosis and HIV]. | 2015 | 3 |
| 19 | 2023 | 3 | |
| 20 | 2021 | 3 |
About Qinglin Lu
Qinglin Lu is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Molecular Biology, Computational Mechanics and Epidemiology, having authored 33 papers that have together received 463 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (5 papers), Multimodal Machine Learning Applications (4 papers), Video Analysis and Summarization (4 papers), Smart Agriculture and AI (4 papers), Plant Disease Resistance and Genetics (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Advanced Vision and Imaging (3 papers) and Advanced SAR Imaging Techniques (3 papers). The work is most often cited by research in Plant Science (376 citations), Genetics (167 citations), Agronomy and Crop Science (57 citations), Soil Science (20 citations) and Analytical Chemistry (18 citations). Qinglin Lu has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Zhonghu He, Gang Zhou, Caixia Lan, Shanshan Liang, Xianchun Xia, Di Liu, Jinxue Jing, Yaming Lu, Meinan Wang and Bin Bai. Their work appears in journals such as Theoretical and Applied Genetics, IEEE Access, Plant Disease, Separation and Purification Technology and Field Crops Research.
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.