Minje Kim

2.6k total citations · 2 hit papers
83 papers, 1.5k citations indexed

About

Minje Kim is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Minje Kim has authored 83 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Signal Processing, 38 papers in Artificial Intelligence and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Minje Kim's work include Speech and Audio Processing (51 papers), Music and Audio Processing (30 papers) and Speech Recognition and Synthesis (29 papers). Minje Kim is often cited by papers focused on Speech and Audio Processing (51 papers), Music and Audio Processing (30 papers) and Speech Recognition and Synthesis (29 papers). Minje Kim collaborates with scholars based in United States, South Korea and China. Minje Kim's co-authors include Paris Smaragdis, Mark Hasegawa‐Johnson, Ding Liu, Jiho Yoo, Heechul Yun, Seungkwon Beack, Seungjin Choi, Mi Suk Lee, Lei Jiang and Danghui Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Minje Kim

74 papers receiving 1.4k citations

Hit Papers

Joint Optimization of Masks and Deep Recurrent Neural Net... 2014 2026 2018 2022 2015 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation
    2015 326 citations Minje Kim, Mark Hasegawa‐Johnson et al. profile →
  2. Deep learning for monaural speech separation
    2014 284 citations Minje Kim, Mark Hasegawa‐Johnson et al. profile →

Peers

Minje Kim
Ángel M. Gómez Spain
Shaik Rafi Ahamed India
Weiyang Liu China
Li Zhao China
A. Navia-Vázquez Spain
Vanessa Gómez-Verdejo Spain
Suman Kumar Saha India
Kenji Nakayama Japan
Ángel M. Gómez Spain
Minje Kim
Citations per year, relative to Minje Kim Minje Kim (= 1×) peers Ángel M. Gómez

Countries citing papers authored by Minje Kim

Since Specialization
Citations

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

Fields of papers citing papers by Minje Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minje Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Minje Kim. A scholar is included among the top collaborators of Minje 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 Minje Kim. Minje 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
1.
2.
Kim, Sunwoo, et al.. (2024). Zero-shot test-time adaptation via knowledge distillation for personalized speech denoising and dereverberation. The Journal of the Acoustical Society of America. 155(2). 1353–1367. 2 indexed citations
3.
Lım, Wootaek, et al.. (2024). Personalized Neural Speech Codec. arXiv (Cornell University). 991–995. 2 indexed citations
4.
Tassé, Marc J. & Minje Kim. (2023). Examining the Relationship between Adaptive Behavior and Intelligence. Behavioral Sciences. 13(3). 252–252. 8 indexed citations
5.
Lee, Sol, et al.. (2023). Synergistic Enhancement of Filtering Efficiency and Antibacterial Performance of a Nanofiber Air Filter Decorated with Electropolarized Lithium-Doped ZnO Nanorods. ACS Applied Materials & Interfaces. 15(17). 20977–20986. 12 indexed citations
6.
7.
Lee, Shin‐Wha, Hyunah Lee, Kyungwon Lee, et al.. (2023). CD8α+ dendritic cells potentiate antitumor and immune activities against murine ovarian cancers. Scientific Reports. 13(1). 98–98. 3 indexed citations
8.
Kim, Minje, et al.. (2022). Upmixing Via Style Transfer: A Variational Autoencoder for Disentangling Spatial Images And Musical Content. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 426–430. 2 indexed citations
9.
Choi, Shinkyu, Ji Aee Kim, Haiyan Li, et al.. (2021). Anti-inflammatory and anti-fibrotic effects of modafinil in nonalcoholic liver disease. Biomedicine & Pharmacotherapy. 144. 112372–112372. 11 indexed citations
10.
Kim, Minje, et al.. (2020). Sparse Mixture of Local Experts for Efficient Speech Enhancement. 4526–4530. 3 indexed citations
11.
Lou, Qian, Lantao Liu, Minje Kim, & Lei Jiang. (2019). AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices.. arXiv (Cornell University). 4 indexed citations
12.
Kim, Minje, et al.. (2018). DeepPicar: A Low-Cost Deep Neural Network-Based Autonomous Car. 11–21. 80 indexed citations
13.
Park, Chan-Woo, Yesol Bak, Minje Kim, et al.. (2018). The Novel Small Molecule STK899704 Promotes Senescence of the Human A549 NSCLC Cells by Inducing DNA Damage Responses and Cell Cycle Arrest. Frontiers in Pharmacology. 9. 163–163. 15 indexed citations
14.
Jang, Jae Young, et al.. (2017). Congenital Jejunal Diverticular Bleeding in a Young Adult. Clinical Endoscopy. 50(5). 495–499. 3 indexed citations
15.
Kim, Minje, et al.. (2016). Cudrania tricuspidata Stem Extract Induces Apoptosis via the Extrinsic Pathway in SiHa Cervical Cancer Cells. PLoS ONE. 11(3). e0150235–e0150235. 41 indexed citations
16.
Kim, Minje, et al.. (2015). H9 Inhibits Tumor Growth and Induces Apoptosis via Intrinsic and Extrinsic Signaling Pathway in Human Non-Small Cell Lung Cancer Xenografts. Journal of Microbiology and Biotechnology. 25(5). 648–657. 12 indexed citations
17.
Kim, Minje, et al.. (2014). Singing-voice separation from monaural recordings using deep recurrent neural networks. International Symposium/Conference on Music Information Retrieval. 477–482. 65 indexed citations
18.
Kim, Minje & Paris Smaragdis. (2013). Manifold Preserving Hierarchical Topic Models for Quantization and Approximation. International Conference on Machine Learning. 1373–1381. 7 indexed citations
19.
Smaragdis, Paris & Minje Kim. (2013). Non-negative matrix factorization for irregularly-spaced transforms. 1–4. 2 indexed citations
20.
Kim, Minje, et al.. (2010). A Unified Method for Vocal Source Separation From Stereophonic Music Signals. Journal of the Institute of Electronics Engineers of Korea. 47(5). 89–99. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ángel M. Gómez Breakdown of academic impact, for papers by Shaik Rafi Ahamed Breakdown of academic impact, for papers by Weiyang Liu Breakdown of academic impact, for papers by Li Zhao Breakdown of academic impact, for papers by A. Navia-Vázquez Breakdown of academic impact, for papers by Vanessa Gómez-Verdejo Breakdown of academic impact, for papers by Suman Kumar Saha Breakdown of academic impact, for papers by Kenji Nakayama
Rankless by CCL
2026