Cun Ji

34 papers and 316 indexed citations i.

About

Cun Ji is a scholar working on Signal Processing, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Cun Ji has authored 34 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Signal Processing, 18 papers in Artificial Intelligence and 8 papers in Economics and Econometrics. Recurrent topics in Cun Ji’s work include Time Series Analysis and Forecasting (19 papers), Anomaly Detection Techniques and Applications (16 papers) and Complex Systems and Time Series Analysis (8 papers). Cun Ji is often cited by papers focused on Time Series Analysis and Forecasting (19 papers), Anomaly Detection Techniques and Applications (16 papers) and Complex Systems and Time Series Analysis (8 papers). Cun Ji collaborates with scholars based in China. Cun Ji's co-authors include Shijun Liu, Xiangwei Zheng, Li Pan, Chenglei Yang, Xiangxu Meng, Yupeng Hu, Chao Zhao, Bin Hu, Jiao Sun and Lei Wu and has published in prestigious journals such as Expert Systems with Applications, Sensors and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Cun Ji i

Fields of papers citing papers by Cun Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cun Ji. 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 Cun Ji. The network helps show where Cun Ji may publish in the future.

Countries citing papers authored by Cun Ji

Since Specialization
Citations

This map shows the geographic impact of Cun Ji'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 Cun Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cun Ji 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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2025