David Chiang

69 papers and 2.5k indexed citations i.

About

David Chiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, David Chiang has authored 69 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Computational Theory and Mathematics. Recurrent topics in David Chiang’s work include Natural Language Processing Techniques (58 papers), Topic Modeling (47 papers) and Speech Recognition and Synthesis (16 papers). David Chiang is often cited by papers focused on Natural Language Processing Techniques (58 papers), Topic Modeling (47 papers) and Speech Recognition and Synthesis (16 papers). David Chiang collaborates with scholars based in United States, Switzerland and China. David Chiang's co-authors include Antonios Anastasopoulos, Liang Huang, Philip Resnik, Yuval Marton, Yee Seng Chan, Hwee Tou Ng, Toan Nguyen, Ashish Vaswani, Kenton Murray and Victoria Fossum and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Polymer and International Journal of Production Research.

In The Last Decade

Co-authorship network of co-authors of David Chiang i

Fields of papers citing papers by David Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Chiang

Since Specialization
Citations

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