Lingjing Kong

13 papers and 78 indexed citations i.

About

Lingjing Kong is a scholar working on Artificial Intelligence, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lingjing Kong has authored 13 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Surgery and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lingjing Kong’s work include Domain Adaptation and Few-Shot Learning (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Vehicle Routing Optimization Methods (3 papers). Lingjing Kong is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Vehicle Routing Optimization Methods (3 papers). Lingjing Kong collaborates with scholars based in China, Switzerland and United States. Lingjing Kong's co-authors include Boi Faltings, Fei Mi, Kaicheng Yu, Tao Lin, Shaopeng Liu, Ziyan Wu, Yiqiao Cai, Minlie Huang, Ying Zhou and Eric P. Xing and has published in prestigious journals such as Information Sciences, Applied Soft Computing and International Immunopharmacology.

In The Last Decade

Co-authorship network of co-authors of Lingjing Kong i

Fields of papers citing papers by Lingjing Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lingjing Kong

Since Specialization
Citations

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