Ha Young Kim

About

Ha Young Kim is a scholar working on Computer Vision and Pattern Recognition, Management Science and Operations Research and Finance. According to data from OpenAlex, Ha Young Kim has authored 11 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Management Science and Operations Research and 3 papers in Finance. Recurrent topics in Ha Young Kim’s work include Stock Market Forecasting Methods (3 papers), Market Dynamics and Volatility (2 papers) and Financial Markets and Investment Strategies (2 papers). Ha Young Kim is often cited by papers focused on Stock Market Forecasting Methods (3 papers), Market Dynamics and Volatility (2 papers) and Financial Markets and Investment Strategies (2 papers). Ha Young Kim collaborates with scholars based in South Korea. Ha Young Kim's co-authors include Hye Jin Kam, Jahyo Kang, Hyunmin Kang, Lee Sael, Sung Hoon Kim, Ghilsoo Nam, Kisu Lee and Dae Young Yoon and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Computers in Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Ha Young Kim i

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Fields of papers citing papers by Ha Young Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ha Young Kim. 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 Ha Young Kim. The network helps show where Ha Young Kim may publish in the future.

Countries citing papers authored by Ha Young Kim

Since Specialization

Citations

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