Hailin Li
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Signal Processing top 1%
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Topics
- Time Series Analysis and Forecasting (36 papers)Radiomics and Machine Learning in Medical Imaging (23 papers)Complex Systems and Time Series Analysis (19 papers)
- Journals
- Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaACS Nano
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Hailin Li
193 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 194
- Artificial Intelligence 638
- Radiology, Nuclear Medicine and Imaging 539
- Signal Processing 485
- Pulmonary and Respiratory Medicine 350
- Molecular Biology 333
Countries citing papers authored by Hailin Li
This map shows the geographic impact of Hailin 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 Hailin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailin Li more than expected).
Fields of papers citing papers by Hailin Li
This network shows the impact of papers produced by Hailin 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 Hailin Li. The network helps show where Hailin Li may publish in the future.
Co-authorship network of co-authors of Hailin Li
This figure shows the co-authorship network connecting the top 25 collaborators of Hailin Li. A scholar is included among the top collaborators of Hailin 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 Hailin Li. Hailin 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 16 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 16 | |
| 11 | 2 | |
| 12 | 78 | |
| 13 | Research on Topic Discovery and Evolution Based on Time Series Clustering | 4 |
| 14 | Method of dimensionality reduction and feature representation for time series | 1 |
| 15 | Investigation of First Hospital Infection Event of H1N1 Influenza in Mainland | 1 |
| 16 | Characteristics, types and spatial patterns of Alpine meadow soils in the Qinghai-Tibet Plateau. | 2 |
| 17 | Cloud decision analysis method | 2 |
| 18 | Method of factor weights allocation based on combination of fuzzy and rough set | 1 |
| 19 | Application of Geo-spatial Information Technique to Digital Ocean | 1 |
| 20 | Research and development healthy plum vinegar | 1 |
About Hailin Li
Hailin Li is a scholar working on Signal Processing, Artificial Intelligence and Otorhinolaryngology, having authored 213 papers that have together received 3.2k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (36 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Complex Systems and Time Series Analysis (19 papers). The work is most often cited by research in Signal Processing (485 citations), Health Informatics (38 citations) and Radiology, Nuclear Medicine and Imaging (539 citations). Hailin Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Di Dong, Jie Tian, Yewang Chen, Ji‐Xiang Du, Chonghui Guo, Xiaodong Liu, Mengjie Fang, Nizar Bouguila, Cheng Wang and Zheng Zhang. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and ACS Nano.
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.