Heeyoung Kim

99 papers receiving 2.0k citations

Hit Papers

A new metric of absolute percentage error for intermitten...20162026201920222016200400600

Peers

Heeyoung Kim
Comparison fields: 5 of 169
  • Electrical and Electronic Engineering 621
  • Industrial and Manufacturing Engineering 426
  • Artificial Intelligence 310
  • Renewable Energy, Sustainability and the Environment 229
  • Materials Chemistry 184
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Ying Zhou China
Hongwei Wang China
Sumit Singh Chauhan India
Carlos Ramos Portugal
Joaquín Ordieres‐Meré Spain
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Sang Won Yoon United States
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Huaqing Wang China
Heeyoung Kim relative to Ying Zhou China Ying Zhou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Heeyoung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Heeyoung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heeyoung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Heeyoung Kim. A scholar is included among the top collaborators of Heeyoung Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heeyoung Kim. Heeyoung Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models
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10 1
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OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification
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Ladder Capsule Network.
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Bayesian nonparametric collaborative topic Poisson factorization for electronic health records-based phenotyping
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The effect of Client-Centered Cognitive Stimulation Therapy on The progression of Mild and Moderate Dementia
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A Study on the Differences of Creative Leadership according to Preschool Children's Peer Popularity
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About Heeyoung Kim

Heeyoung Kim is a scholar working on Leadership and Management, Industrial and Manufacturing Engineering and Statistics and Probability, having authored 111 papers that have together received 2.1k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (12 papers), Electrocatalysts for Energy Conversion (8 papers) and Copper-based nanomaterials and applications (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (426 citations), Renewable Energy, Sustainability and the Environment (229 citations) and Management Science and Operations Research (174 citations). Heeyoung Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Sung‐Il Kim, Jeong Young Park, Youngmin Lee, Hyuck Lee, Indranil Mondal, Jin-Ho Kim, Hyunhwa Lee, Sonya S. Kwak, Taewon Jeong and Sung‐Il Kim. Their work appears in journals such as Journal of Clinical Oncology, Nano Letters and PLoS ONE.

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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