Weijia Shi

About

Weijia Shi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Weijia Shi has authored 11 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Weijia Shi’s work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Advanced MIMO Systems Optimization (3 papers). Weijia Shi is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Advanced MIMO Systems Optimization (3 papers). Weijia Shi collaborates with scholars based in United States, China and Hong Kong. Weijia Shi's co-authors include Shaowei Wang, Muhao Chen, Chonggang Wang, Xuelu Chen, Carlo Zaniolo, Yizhou Sun, Pei Zhou, Kai-Wei Chang, Dan Roth and Arthur Choi and has published in prestigious journals such as IEEE Transactions on Communications, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Weijia Shi i

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Fields of papers citing papers by Weijia Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Weijia Shi

Since Specialization

Citations

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