Howard Cheng

20 papers and 390 indexed citations i.

About

Howard Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Howard Cheng has authored 20 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Computational Theory and Mathematics. Recurrent topics in Howard Cheng’s work include Advanced Data Compression Techniques (9 papers), Algorithms and Data Compression (8 papers) and Polynomial and algebraic computation (5 papers). Howard Cheng is often cited by papers focused on Advanced Data Compression Techniques (9 papers), Algorithms and Data Compression (8 papers) and Polynomial and algebraic computation (5 papers). Howard Cheng collaborates with scholars based in Canada, France and United States. Howard Cheng's co-authors include Xiaobo Li, George Labahn, Bernhard Beckermann, Mohammad Akbari, Jie Liang, Xiaobo Li, Marc Moreau, Eugene V. Zima, Ethan Kim and Satyan L. Devadoss and has published in prestigious journals such as IEEE Transactions on Signal Processing, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Howard Cheng i

Fields of papers citing papers by Howard Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Howard Cheng

Since Specialization
Citations

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