Jungil Kong

2 papers and 30 indexed citations i.

About

Jungil Kong is a scholar working on Artificial Intelligence, Signal Processing and Industrial relations. According to data from OpenAlex, Jungil Kong has authored 2 papers receiving a total of 30 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Signal Processing and 0 papers in Industrial relations. Recurrent topics in Jungil Kong’s work include Speech and Audio Processing (2 papers), Speech Recognition and Synthesis (2 papers) and Speech and dialogue systems (1 paper). Jungil Kong is often cited by papers focused on Speech and Audio Processing (2 papers), Speech Recognition and Synthesis (2 papers) and Speech and dialogue systems (1 paper). Jungil Kong collaborates with scholars based in and . Jungil Kong's co-authors include Jaehyeon Kim, Jaekyoung Bae, Sangjin Kim, Jihoon Park and Jeongmin Kim and has published in prestigious journals such as Neural Information Processing Systems and Interspeech 2022.

In The Last Decade

Co-authorship network of co-authors of Jungil Kong i

Fields of papers citing papers by Jungil Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jungil Kong

Since Specialization
Citations

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