Lei Ji

44 papers and 754 indexed citations i.

About

Lei Ji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Spectroscopy. According to data from OpenAlex, Lei Ji has authored 44 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Spectroscopy. Recurrent topics in Lei Ji’s work include Multimodal Machine Learning Applications (6 papers), Mass Spectrometry Techniques and Applications (6 papers) and Topic Modeling (6 papers). Lei Ji is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Mass Spectrometry Techniques and Applications (6 papers) and Topic Modeling (6 papers). Lei Ji collaborates with scholars based in China, United States and Singapore. Lei Ji's co-authors include Nan Duan, Huaishao Luo, Tianrui Li, Ming Zhong, Yang Chen, Ying Tang, Rongshu Zhu, Bing Zhang, Xiuyun Cao and Chunlei Song and has published in prestigious journals such as The Journal of Chemical Physics, Chemical Physics Letters and The Journal of Physical Chemistry A.

In The Last Decade

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

Fields of papers citing papers by Lei Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lei Ji

Since Specialization
Citations

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