Yun Jin

434 total citations
33 papers, 261 citations indexed

About

Yun Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yun Jin has authored 33 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 14 papers in Signal Processing. Recurrent topics in Yun Jin's work include Speech and Audio Processing (12 papers), Emotion and Mood Recognition (12 papers) and Face and Expression Recognition (11 papers). Yun Jin is often cited by papers focused on Speech and Audio Processing (12 papers), Emotion and Mood Recognition (12 papers) and Face and Expression Recognition (11 papers). Yun Jin collaborates with scholars based in China, South Korea and Chile. Yun Jin's co-authors include Peng Song, Wenming Zheng, Li Zhao, Li Zhao, Chengwei Huang, Jinglei Liu, Sung Hyon Myaeng, Yanwei Yu, Zhao Li and Yuchul Jung and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Electronics Letters.

In The Last Decade

Yun Jin

26 papers receiving 241 citations

Peers

Yun Jin
Haiyang Xu China
Jainath Yadav India
Joachim Stegmann Germany
Alexandros Lazaridis Switzerland
Runnan Li China
Kyu J. Han United States
Jithendra Vepa Switzerland
Djamel Mostefa France
Subhadeep Dey Switzerland
Haiyang Xu China
Yun Jin
Citations per year, relative to Yun Jin Yun Jin (= 1×) peers Haiyang Xu

Countries citing papers authored by Yun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Jin. A scholar is included among the top collaborators of Yun Jin 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 Yun Jin. Yun Jin 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
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Jin, Yun, et al.. (2024). Multimodal Speech Emotion Recognition Based on Large Language Model. IEICE Transactions on Information and Systems. E107.D(11). 1463–1467.
4.
Hwang, Sung In, Hyeok Yun, Kyung Taec Kim, et al.. (2024). Inline UV pulse synthesizer. Scientific Reports. 14(1). 24457–24457.
5.
Ji, Yong Gu, et al.. (2019). Light Field Camera Image Sharpness Enhancement for Underwater Machine Vision Application. 499–503. 2 indexed citations
6.
Ma, Yong, et al.. (2019). End-to-End Chinese Dialects Identification in Short Utterances using CNN-BiGRU. 340–344. 12 indexed citations
7.
Ma, Yong, et al.. (2018). End-to-End Chinese Dialect Identification Using Deep Feature Model of Recurrent Neural Network. abs 1312 6026. 2148–2152. 4 indexed citations
8.
Kim, Kangil, et al.. (2017). Center-shared sliding ensemble of neural networks for syntax analysis of natural language. Expert Systems with Applications. 83. 215–225. 1 indexed citations
9.
Song, Peng, Xinran Zhang, Yun Jin, et al.. (2016). Transfer Semi-Supervised Non-Negative Matrix Factorization for Speech Emotion Recognition. IEICE Transactions on Information and Systems. E99.D(10). 2647–2650.
10.
Song, Peng, et al.. (2015). A Novel Iterative Speaker Model Alignment Method from Non-Parallel Speech for Voice Conversion. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E98.A(10). 2178–2181. 1 indexed citations
11.
Jin, Yun, et al.. (2013). Speaker-Independent Speech Emotion Recognition Based on Two-Layer Multiple Kernel Learning. IEICE Transactions on Information and Systems. E96.D(10). 2286–2289. 8 indexed citations
12.
Jin, Yun, Yong Ma, & Li Zhao. (2012). A Modified Self-Training Semi-supervised SVM Algorithm. 224–228. 2 indexed citations
13.
Huang, Chengwei, et al.. (2011). A Study on Feature Analysis and Recognition of Practical Speech Emotion. JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY. 33(1). 112–116. 9 indexed citations
14.
Huang, Chengwei, et al.. (2009). Speech emotion recognition based on re-composition of two-class classifiers. 1–3. 5 indexed citations
15.
Jin, Yun, et al.. (2009). Study on the Emotion Recognition of Whispered Speech. 242–246. 6 indexed citations
16.
Park, Sang Jun, et al.. (2008). A Case of Liver Abscess Associated with Duodenal Perforation by a Toothpick. 36(6). 390–394. 3 indexed citations
17.
Jin, Yun, et al.. (2006). Abbreviation Disambiguation Using Semantic Abstraction of Symbols and Numeric Terms. 14–19. 4 indexed citations
18.
Myaeng, Sung Hyon, et al.. (2006). Universal Information Retrieval System In Semantic Web Environment. 2. 348–353. 1 indexed citations
19.
Jin, Yun, Sung Hyon Myaeng, & Yuchul Jung. (2006). Use of place information for improved event tracking. Information Processing & Management. 43(2). 365–378. 14 indexed citations
20.
Jin, Yun, et al.. (2002). Simple Query Translation Methods for Korean-English and Korean- Chinese CLIR in NTCIR Experiments. NTCIR. 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.

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