Jun Lv
Impact in
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
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- Advanced Statistical Process Monitoring
Papers in
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- Protein Structure and Dynamics 5
- RNA regulation and disease 4
- CRISPR and Genetic Engineering 3
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- Fault Detection and Control Systems 5
- Co-authors
- Shichang Du (5 shared papers)Yafei Deng (2 shared papers)Delin Huang (2 shared papers)Meichun Liu (1 shared paper)Pengfei Zhu (3 shared papers)Lifeng Xi (1 shared paper)Yanmin Liu (1 shared paper)Zujiang Yu (1 shared paper)
- Journals
- Molecular Therapy — Nucleic Acids (2 papers)Computers & Industrial Engineering (1 paper)International Journal of Production Economics (1 paper)Measurement (1 paper)Journal of Nanobiotechnology (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Jun Lv
36 papers receiving 841 citations
Jun Lv's Hit Papers
Peers
Comparison fields: 5 of 119
- Sensory Systems 90
- Statistics, Probability and Uncertainty 64
- Medical Laboratory Technology 11
- Control and Systems Engineering 180
- Cancer Research 93
Countries citing papers authored by Jun Lv
This map shows the geographic impact of Jun Lv'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 Jun Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lv more than expected).
Fields of papers citing papers by Jun Lv
This network shows the impact of papers produced by Jun Lv. 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 Jun Lv. The network helps show where Jun Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Lv, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 121 | |
| 2 | Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer Hit paper breakdown → | 2023 | 90 |
| 3 | 2015 | 84 | |
| 4 | 2018 | 72 | |
| 5 | 2022 | 50 | |
| 6 | 2012 | 46 | |
| 7 | 2012 | 42 | |
| 8 | 2021 | 40 | |
| 9 | 2022 | 38 | |
| 10 | 2008 | 35 | |
| 11 | 2020 | 31 | |
| 12 | 2022 | 28 | |
| 13 | 2010 | 19 | |
| 14 | 2024 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2024 | 16 | |
| 17 | 2023 | 14 | |
| 18 | 2025 | 13 | |
| 19 | 2020 | 11 | |
| 20 | 2019 | 9 |
About Jun Lv
Jun Lv is a scholar working on Molecular Biology, Control and Systems Engineering, Sensory Systems, Statistics, Probability and Uncertainty and Infectious Diseases, having authored 42 papers that have together received 852 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (6 papers), Fault Detection and Control Systems (5 papers), Protein Structure and Dynamics (5 papers), RNA regulation and disease (4 papers), Advanced Statistical Process Monitoring (4 papers), COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Sensory Systems (90 citations), Statistics, Probability and Uncertainty (64 citations), Medical Laboratory Technology (11 citations), Control and Systems Engineering (180 citations) and Cancer Research (93 citations). Jun Lv has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Shichang Du, Yafei Deng, Delin Huang, Meichun Liu, Pengfei Zhu, Lifeng Xi, Yanmin Liu, Zujiang Yu, Bowen Li and Jun Li. Their work appears in journals such as Molecular Therapy — Nucleic Acids, Computers & Industrial Engineering, International Journal of Production Economics, Measurement and Journal of Nanobiotechnology.
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.