Hanchao Li
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
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- Complex Network Analysis Techniques
Papers in
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- Music Technology and Sound Studies 5
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- Advanced Graph Neural Networks 9
- Co-authors
- Haoqiang Fan (1 shared paper)Jian Sun (1 shared paper)Pengfei Xiong (1 shared paper)Xiang Fei (18 shared papers)Chaobo He (17 shared papers)Yong Tang (10 shared papers)Aiying Wang (9 shared papers)Zeng Hu (2 shared papers)
- Journals
- Frontiers in Public Health (2 papers)Applied Surface Science (2 papers)Personal and Ubiquitous Computing (1 paper)Diamond and Related Materials (1 paper)Industrial Crops and Products (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Hanchao Li
46 papers receiving 1.3k citations
Hanchao Li's Hit Papers
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 558
- Statistical and Nonlinear Physics 141
- Media Technology 78
- Artificial Intelligence 290
- Human-Computer Interaction 44
Countries citing papers authored by Hanchao Li
This map shows the geographic impact of Hanchao Li'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 Hanchao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanchao Li more than expected).
Fields of papers citing papers by Hanchao Li
This network shows the impact of papers produced by Hanchao Li. 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 Hanchao Li. The network helps show where Hanchao Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanchao Li, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation Hit paper breakdown → | 2019 | 539 |
| 2 | 2021 | 88 | |
| 3 | 2016 | 86 | |
| 4 | 2019 | 60 | |
| 5 | 2020 | 52 | |
| 6 | 2013 | 50 | |
| 7 | 2017 | 45 | |
| 8 | 2021 | 40 | |
| 9 | 2015 | 39 | |
| 10 | 2014 | 37 | |
| 11 | 2023 | 33 | |
| 12 | 2019 | 19 | |
| 13 | 2018 | 18 | |
| 14 | 2020 | 16 | |
| 15 | 2020 | 14 | |
| 16 | 2018 | 12 | |
| 17 | 2018 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2016 | 11 | |
| 20 | 2022 | 10 |
About Hanchao Li
Hanchao Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Materials Chemistry and Signal Processing, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Advanced Graph Neural Networks (9 papers), Diamond and Carbon-based Materials Research (7 papers), Music and Audio Processing (6 papers), Music Technology and Sound Studies (5 papers), Carbon Nanotubes in Composites (5 papers), Graphene research and applications (5 papers) and Metal and Thin Film Mechanics (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (558 citations), Statistical and Nonlinear Physics (141 citations), Media Technology (78 citations), Artificial Intelligence (290 citations) and Human-Computer Interaction (44 citations). Hanchao Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Haoqiang Fan, Jian Sun, Pengfei Xiong, Xiang Fei, Chaobo He, Yong Tang, Aiying Wang, Zeng Hu, Peng Guo and Jing Wei. Their work appears in journals such as Frontiers in Public Health, Applied Surface Science, Personal and Ubiquitous Computing, Diamond and Related Materials and Industrial Crops and Products.
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.