Ja‐Ling Wu

238 papers and 2.7k indexed citations i.

About

Ja‐Ling Wu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ja‐Ling Wu has authored 238 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 170 papers in Computer Vision and Pattern Recognition, 109 papers in Signal Processing and 50 papers in Artificial Intelligence. Recurrent topics in Ja‐Ling Wu’s work include Video Analysis and Summarization (47 papers), Video Coding and Compression Technologies (46 papers) and Advanced Data Compression Techniques (42 papers). Ja‐Ling Wu is often cited by papers focused on Video Analysis and Summarization (47 papers), Video Coding and Compression Technologies (46 papers) and Advanced Data Compression Techniques (42 papers). Ja‐Ling Wu collaborates with scholars based in Taiwan, United States and Japan. Ja‐Ling Wu's co-authors include Chiou-Ting Hsu, Yu‐Hsun Lin, Wei-Ta Chu, Chung-Yi Weng, Yi-Shin Tung, Chiou-Ting Hsu, Wen-Huang Cheng, Jun-Cheng Chen, Sung-Wen Wang and Chu‐Song Chen and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Ja‐Ling Wu i

Fields of papers citing papers by Ja‐Ling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ja‐Ling Wu

Since Specialization
Citations

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