Kai Hwang

About

Kai Hwang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kai Hwang has authored 73 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Networks and Communications, 24 papers in Hardware and Architecture and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kai Hwang’s work include Parallel Computing and Optimization Techniques (23 papers), Distributed and Parallel Computing Systems (16 papers) and IoT and Edge/Fog Computing (12 papers). Kai Hwang is often cited by papers focused on Parallel Computing and Optimization Techniques (23 papers), Distributed and Parallel Computing Systems (16 papers) and IoT and Edge/Fog Computing (12 papers). Kai Hwang collaborates with scholars based in United States, China and Hong Kong. Kai Hwang's co-authors include Runfang Zhou, Lionel M. Ni, Keqin Li, Min Chen, Junwei Cao, Yixue Hao, Albert Y. Zomaya, Di Wu, Yong Li and Chin‐Feng Lai and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Neural Networks and Learning Systems and IEEE Signal Processing Magazine.

In The Last Decade

Co-authorship network of co-authors of Kai Hwang i

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Fields of papers citing papers by Kai Hwang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Hwang

Since Specialization

Citations

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