Hongli Lv
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Pollution top 10%
- Artificial Intelligence
- Molecular Biology
- Co-authors
- Daizhan ChengMengyao GuoShujun FuJun‐e FengCaiming ZhangTianchao XuRenfang WangJingwen Cao
- Topics
- Image and Signal Denoising Methods (10 papers)Optical Coherence Tomography Applications (7 papers)Fuzzy Logic and Control Systems (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentScientific Reports
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Hongli Lv
47 papers receiving 608 citations
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 183
- Biomedical Engineering 124
- Pollution 116
- Artificial Intelligence 91
- Molecular Biology 75
Countries citing papers authored by Hongli Lv
This map shows the geographic impact of Hongli 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 Hongli Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongli Lv more than expected).
Fields of papers citing papers by Hongli Lv
This network shows the impact of papers produced by Hongli 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 Hongli Lv. The network helps show where Hongli Lv may publish in the future.
Co-authorship network of co-authors of Hongli Lv
This figure shows the co-authorship network connecting the top 25 collaborators of Hongli Lv. A scholar is included among the top collaborators of Hongli Lv based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hongli Lv. Hongli Lv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 51 | |
| 6 | 28 | |
| 7 | 3 | |
| 8 | 108 | |
| 9 | 9 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | 21 | |
| 13 | 10 | |
| 14 | 6 | |
| 15 | 29 | |
| 16 | Autonomous mission planning for AUVs team cooperation | 2 |
| 17 | Construction and optimization of fuzzy relation matrices model based-on semi-tensor product | 2 |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 7 |
About Hongli Lv
Hongli Lv is a scholar working on Computational Mathematics, Media Technology and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 639 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Optical Coherence Tomography Applications (7 papers) and Fuzzy Logic and Control Systems (7 papers). The work is most often cited by research in Computational Mathematics (17 citations), Pollution (116 citations) and Computer Vision and Pattern Recognition (183 citations). Hongli Lv has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Daizhan Cheng, Mengyao Guo, Shujun Fu, Jun‐e Feng, Caiming Zhang, Tianchao Xu, Jun‐e Feng, Renfang Wang, Jingwen Cao and Shiwen Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.
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.