Lanqing Hong

36 papers and 617 indexed citations i.

About

Lanqing Hong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Lanqing Hong has authored 36 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 6 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Lanqing Hong’s work include Domain Adaptation and Few-Shot Learning (13 papers), Advanced Neural Network Applications (8 papers) and Reliability and Maintenance Optimization (5 papers). Lanqing Hong is often cited by papers focused on Domain Adaptation and Few-Shot Learning (13 papers), Advanced Neural Network Applications (8 papers) and Reliability and Maintenance Optimization (5 papers). Lanqing Hong collaborates with scholars based in China, Sweden and Hong Kong. Lanqing Hong's co-authors include Zhi‐Sheng Ye, Zhenguo Li, Qingqing Zhai, Xingsen Gao, Guofu Zhou, Zhen Fan, Xubing Lu, Jun‐Ming Liu, Zhipeng Hou and Min Zeng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of Physical Chemistry C and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Lanqing Hong i

Fields of papers citing papers by Lanqing Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lanqing Hong

Since Specialization
Citations

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