Ling Cai

39 papers and 1.3k indexed citations i.

About

Ling Cai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Geography, Planning and Development. According to data from OpenAlex, Ling Cai has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 8 papers in Geography, Planning and Development. Recurrent topics in Ling Cai’s work include Geographic Information Systems Studies (8 papers), Data Management and Algorithms (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Ling Cai is often cited by papers focused on Geographic Information Systems Studies (8 papers), Data Management and Algorithms (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Ling Cai collaborates with scholars based in United States, China and Austria. Ling Cai's co-authors include Gengchen Mai, Zhi Tang, Yongtao Wang, Ying Chen, Tao Sheng, Haibin Ling, Qijie Zhao, Rui Zhu, Krzysztof Janowicz and Bo Yan and has published in prestigious journals such as FEBS Letters, Journal of Cerebral Blood Flow & Metabolism and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Ling Cai i

Fields of papers citing papers by Ling Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling Cai

Since Specialization
Citations

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