Hanchao Li
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Materials Chemistry
- Statistical and Nonlinear Physics top 5%
- Mechanics of Materials top 10%
- Co-authors
- Haoqiang FanJian SunPengfei XiongXiang FeiChaobo HeYong TangAiying WangPeng Guo
- Topics
- Complex Network Analysis Techniques (10 papers)Advanced Graph Neural Networks (9 papers)Diamond and Carbon-based Materials Research (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionStatistical and Nonlinear PhysicsArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyThe Journal of Physical Chemistry C
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Hanchao Li
44 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 510
- Artificial Intelligence 276
- Materials Chemistry 173
- Statistical and Nonlinear Physics 136
- Mechanics of Materials 109
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-authorship network of co-authors of Hanchao Li
This figure shows the co-authorship network connecting the top 25 collaborators of Hanchao Li. A scholar is included among the top collaborators of Hanchao Li 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 Hanchao Li. Hanchao Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | 7 | |
| 9 | 50 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 42 | |
| 16 | 2 | |
| 17 | 80 | |
| 18 | 36 | |
| 19 | 6 | |
| 20 | 37 |
About Hanchao Li
Hanchao Li is a scholar working on Statistical and Nonlinear Physics, Human-Computer Interaction and Signal Processing, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Advanced Graph Neural Networks (9 papers) and Diamond and Carbon-based Materials Research (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (510 citations), Statistical and Nonlinear Physics (136 citations) and Artificial Intelligence (276 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, Peng Guo, Zeng Hu and Peiling Ke. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Journal of Physical Chemistry C.
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.