Hailin Li

174 papers and 2.5k indexed citations i.

About

Hailin Li is a scholar working on Signal Processing, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Hailin Li has authored 174 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Signal Processing, 32 papers in Artificial Intelligence and 23 papers in Economics and Econometrics. Recurrent topics in Hailin Li’s work include Time Series Analysis and Forecasting (33 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Complex Systems and Time Series Analysis (18 papers). Hailin Li is often cited by papers focused on Time Series Analysis and Forecasting (33 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Complex Systems and Time Series Analysis (18 papers). Hailin Li collaborates with scholars based in China, United States and Taiwan. Hailin Li's co-authors include Di Dong, Jie Tian, Yewang Chen, Ji‐Xiang Du, Chonghui Guo, Mengjie Fang, Xiaodong Liu, Nizar Bouguila, Cheng Wang and Xin Liu and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Applied Physics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Hailin Li i

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Fields of papers citing papers by Hailin Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Hailin Li

Since Specialization

Citations

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).

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.

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