Meina Song

68 papers and 410 indexed citations i.

About

Meina Song is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Meina Song has authored 68 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Information Systems, 29 papers in Artificial Intelligence and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Meina Song’s work include Recommender Systems and Techniques (13 papers), Topic Modeling (13 papers) and QoS-Aware Web Services Composition and Semantic Matching (8 papers). Meina Song is often cited by papers focused on Recommender Systems and Techniques (13 papers), Topic Modeling (13 papers) and QoS-Aware Web Services Composition and Semantic Matching (8 papers). Meina Song collaborates with scholars based in China, United States and Hong Kong. Meina Song's co-authors include E Haihong, Junde Song, Zhonghong Ou, Xiaolin Zheng, Cong Zheng, Xuejun Zhao, Yusheng Li, Shelby H. McIntyre, Xiang Cheng and Jie Wang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Meina Song i

Fields of papers citing papers by Meina Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meina Song

Since Specialization
Citations

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