Ledell Wu

12 papers and 1.4k indexed citations i.

About

Ledell Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ledell Wu has authored 12 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Ledell Wu’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Advanced Graph Neural Networks (2 papers). Ledell Wu is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Advanced Graph Neural Networks (2 papers). Ledell Wu collaborates with scholars based in China, Israel and United States. Ledell Wu's co-authors include Sewon Min, Barlas Oǧuz, Sergey Edunov, Danqi Chen, Wen-tau Yih, Vladimir Karpukhin, Patrick Lewis, Luke Zettlemoyer, Sebastian Riedel and Fabio Petroni and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Transactions of the Association for Computational Linguistics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Ledell Wu i

Fields of papers citing papers by Ledell Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ledell Wu

Since Specialization
Citations

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