Daehan Kwak

46 papers and 2.4k indexed citations i.

About

Daehan Kwak is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Daehan Kwak has authored 46 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Daehan Kwak’s work include IoT and Edge/Fog Computing (7 papers), Sentiment Analysis and Opinion Mining (6 papers) and Traffic Prediction and Management Techniques (4 papers). Daehan Kwak is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), Sentiment Analysis and Opinion Mining (6 papers) and Traffic Prediction and Management Techniques (4 papers). Daehan Kwak collaborates with scholars based in United States, South Korea and Pakistan. Daehan Kwak's co-authors include Kyung Sup Kwak, S. M. Riazul Islam, Md. Humaun Kabir, Mahmud Hossain, Farman Ali, Shaker El–Sappagh, Amjad Ali, Muhammad Imran, Pervez Khan and Kye Hyun Kim and has published in prestigious journals such as Scientific Reports, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Daehan Kwak i

Fields of papers citing papers by Daehan Kwak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daehan Kwak

Since Specialization
Citations

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