Jun Yin

4.3k total citations
125 papers, 3.5k citations indexed

About

Jun Yin is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Jun Yin has authored 125 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 25 papers in Molecular Biology and 21 papers in Electrical and Electronic Engineering. Recurrent topics in Jun Yin's work include Face and Expression Recognition (31 papers), Cancer-related molecular mechanisms research (15 papers) and Electrocatalysts for Energy Conversion (14 papers). Jun Yin is often cited by papers focused on Face and Expression Recognition (31 papers), Cancer-related molecular mechanisms research (15 papers) and Electrocatalysts for Energy Conversion (14 papers). Jun Yin collaborates with scholars based in China, United States and Japan. Jun Yin's co-authors include Xing Chen, Chuan‐Jian Zhong, Jin Luo, Jia Qu, Xing Chen, Shiliang Sun, Yan Zhao, Rameshwori Loukrakpam, Bridgid N. Wanjala and Bin Fang and has published in prestigious journals such as Journal of the American Chemical Society, ACS Nano and Bioinformatics.

In The Last Decade

Jun Yin

117 papers receiving 3.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Yin China 33 1.2k 872 817 806 794 125 3.5k
Yuxiang Chen China 34 1.2k 1.0× 567 0.7× 295 0.4× 182 0.2× 873 1.1× 140 3.0k
Kwang H. Lee South Korea 37 473 0.4× 217 0.2× 2.7k 3.3× 181 0.2× 2.3k 2.8× 101 4.9k
Ziwei Li China 31 309 0.3× 162 0.2× 702 0.9× 214 0.3× 1.0k 1.3× 151 3.8k
Weibo Wang China 29 478 0.4× 133 0.2× 803 1.0× 131 0.2× 925 1.2× 225 3.2k
Feng Liu China 35 702 0.6× 105 0.1× 1.3k 1.5× 227 0.3× 1.2k 1.5× 208 4.4k
G. Chandrasekaran India 37 440 0.4× 111 0.1× 2.8k 3.5× 640 0.8× 1.3k 1.7× 103 4.3k
Lijie Li China 33 507 0.4× 156 0.2× 1.7k 2.1× 208 0.3× 1.8k 2.3× 367 5.3k
Yonghong Song China 33 726 0.6× 52 0.1× 900 1.1× 169 0.2× 206 0.3× 192 4.1k
Wenrui Liu China 28 597 0.5× 88 0.1× 341 0.4× 139 0.2× 1.5k 1.9× 131 3.2k
Li Zhao China 27 562 0.5× 256 0.3× 1.2k 1.4× 132 0.2× 1.0k 1.3× 198 3.4k

Countries citing papers authored by Jun Yin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yin. A scholar is included among the top collaborators of Jun Yin 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 Jun Yin. Jun Yin 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.
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Yin, Jun, et al.. (2025). Ship trajectory prediction based on LSTM model with multi-scale convolution and attention mechanism. Ocean Engineering. 338. 122055–122055. 1 indexed citations
3.
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Huang, Hui, et al.. (2025). Filtering and denoising: Graph completion-based incomplete multi-view clustering. Information Fusion. 126. 103654–103654.
5.
Yin, Jun, Shiliang Sun, Lai Wei, & Pei Wang. (2024). Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16478–16485. 3 indexed citations
6.
Yin, Jun, et al.. (2024). Random image masking and in-batch feature mixing for self-supervised learning. Expert Systems with Applications. 264. 125898–125898. 1 indexed citations
7.
Yin, Jun, et al.. (2023). Effective sample pairs based contrastive learning for clustering. Information Fusion. 99. 101899–101899. 21 indexed citations
8.
Xiong, Jinghua, Shenglian Guo, Liguang Jiang, Jun Yin, & Jun Wang. (2023). Exploring the potential of SWOT for water level monitoring in the Qinghai Lake. National Remote Sensing Bulletin. 27(8). 1888–1898. 2 indexed citations
9.
Li, Ming, et al.. (2022). Comprehensive Analysis of Transcriptional Expression of hsa-mir-21 Predicted Target Genes and Immune Characteristics in Kidney Renal Clear Cell Carcinoma. International Journal of Medical Sciences. 19(9). 1482–1501. 3 indexed citations
10.
Chen, Xing, Jia Qu, & Jun Yin. (2018). TLHNMDA: Triple Layer Heterogeneous Network Based Inference for MiRNA-Disease Association Prediction. Frontiers in Genetics. 9. 234–234. 24 indexed citations
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Shi, Yuhu, et al.. (2017). An improved multi-objective optimization-based CICA method with data-driver temporal reference for group fMRI data analysis. Medical & Biological Engineering & Computing. 56(4). 683–694. 7 indexed citations
13.
Lu, Jing, Lei Chen, Jun Yin, et al.. (2016). Identification of new candidate drugs for lung cancer using chemical–chemical interactions, chemical–protein interactions and a K-means clustering algorithm. Journal of Biomolecular Structure and Dynamics. 34(4). 906–917. 27 indexed citations
14.
Yin, Jun, et al.. (2015). Association of the LMNA gene single nucleotide polymorphism rs4641 with bdilated cardiomyopathy. Genetics and Molecular Research. 14(4). 15427–15434. 2 indexed citations
15.
Chen, Lei, Jing Lu, Tao Huang, et al.. (2014). Finding Candidate Drugs for Hepatitis C Based on Chemical-Chemical and Chemical-Protein Interactions. PLoS ONE. 9(9). e107767–e107767. 31 indexed citations
16.
Petkov, Valeri, Shiyao Shan, Peter J. Chupas, et al.. (2013). Noble-transition metal nanoparticle breathing in a reactive gas atmosphere. Nanoscale. 5(16). 7379–7379. 21 indexed citations
17.
Yin, Jun, Peipei Hu, Bridgid N. Wanjala, Oana Malis, & Chuan‐Jian Zhong. (2011). Harnessing molecule–solid duality of nanoclusters/nanoparticles for nanoscale control of size, shape and alloying. Chemical Communications. 47(35). 9885–9885. 6 indexed citations
18.
Yan, Hong, Jin Luo, Hongming Xie, et al.. (2011). Cationic recognition by tert-butylcalix[4]arene-functionalized nanoprobes. Physical Chemistry Chemical Physics. 13(13). 5824–5824. 15 indexed citations
19.
Luo, Jin, Lingyan Wang, Xiajing Shi, et al.. (2011). Nanoparticle-structured thin film sensor arrays for breath sensing. Sensors and Actuators B Chemical. 161(1). 845–854. 32 indexed citations
20.
Zhong, Chuan‐Jian, Jin Luo, Bin Fang, et al.. (2010). Nanostructured catalysts in fuel cells. Nanotechnology. 21(6). 62001–62001. 159 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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