Yun Tian

2.2k total citations · 1 hit paper
87 papers, 1.5k citations indexed

About

Yun Tian is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Yun Tian has authored 87 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 22 papers in Computer Networks and Communications and 20 papers in Information Systems. Recurrent topics in Yun Tian's work include Medical Image Segmentation Techniques (20 papers), Cloud Computing and Resource Management (10 papers) and Advanced Data Storage Technologies (7 papers). Yun Tian is often cited by papers focused on Medical Image Segmentation Techniques (20 papers), Cloud Computing and Resource Management (10 papers) and Advanced Data Storage Technologies (7 papers). Yun Tian collaborates with scholars based in China, United States and Saudi Arabia. Yun Tian's co-authors include Lin Sun, Jiucheng Xu, Xiaojun Ruan, Shu Yin, Zhongke Wu, Fuqing Duan, Mingquan Zhou, Jiong Xie, Xiao Qin and Adam Manzanares and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Yun Tian

81 papers receiving 1.4k citations

Hit Papers

Improving MapReduce performance through data placement in... 2010 2026 2015 2020 2010 50 100 150 200 250
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. Improving MapReduce performance through data placement in heterogeneous Hadoop clusters
    2010 270 citations Yun Tian et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Tian China 18 496 420 419 323 178 87 1.5k
Eva Tuba Serbia 26 276 0.6× 419 1.0× 500 1.2× 796 2.5× 102 0.6× 76 1.7k
Jyotsna Kumar Mandal India 21 347 0.7× 517 1.2× 674 1.6× 422 1.3× 71 0.4× 201 1.9k
Jian Ren China 19 389 0.8× 258 0.6× 360 0.9× 375 1.2× 53 0.3× 38 1.2k
Honghua Dai Australia 21 844 1.7× 227 0.5× 508 1.2× 659 2.0× 83 0.5× 63 1.9k
Ivana Strumberger Serbia 27 388 0.8× 501 1.2× 344 0.8× 1.0k 3.1× 107 0.6× 71 2.0k
Jana Shafi Saudi Arabia 25 260 0.5× 293 0.7× 262 0.6× 457 1.4× 38 0.2× 89 1.7k
K. Venkatachalam Czechia 23 254 0.5× 304 0.7× 343 0.8× 713 2.2× 71 0.4× 93 1.8k
Deepak Garg India 19 238 0.5× 368 0.9× 392 0.9× 396 1.2× 59 0.3× 166 1.5k
Yun Li China 17 197 0.4× 179 0.4× 326 0.8× 659 2.0× 68 0.4× 106 1.4k
Guoqiang Li China 21 476 1.0× 230 0.5× 334 0.8× 298 0.9× 60 0.3× 151 1.4k

Countries citing papers authored by Yun Tian

Since Specialization
Citations

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

Fields of papers citing papers by Yun Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Tian. A scholar is included among the top collaborators of Yun Tian 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 Tian. Yun Tian 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.
3.
Shen, Fangyang, et al.. (2023). Online technological STEM education project management. Education and Information Technologies. 28(10). 12715–12735. 6 indexed citations
4.
Tian, Yun, et al.. (2023). A Survey on Data Integrity Attacks and DDoS Attacks in Cloud Computing. 788–794. 1 indexed citations
5.
Zhang, Xiaoxuan, Caixia Cui, Shifeng Zhao, Lizhi Xie, & Yun Tian. (2022). Cardiac magnetic resonance radiomics for disease classification. European Radiology. 33(4). 2312–2323. 13 indexed citations
6.
Huang, Xiaoying, Yun Tian, Shifeng Zhao, et al.. (2021). Direct full quantification of the left ventricle via multitask regression and classification. Applied Intelligence. 51(8). 5745–5758. 1 indexed citations
7.
Anderson, Gemma J., et al.. (2020). Identifying and correcting climate projection biases using artificial intelligence. AGU Fall Meeting Abstracts. 2020. 2 indexed citations
8.
Liu, Tao, Yun Tian, Shifeng Zhao, Xiaoying Huang, & Qingjun Wang. (2020). Residual Convolutional Neural Network for Cardiac Image Segmentation and Heart Disease Diagnosis. IEEE Access. 8. 82153–82161. 22 indexed citations
9.
Tian, Yun, Zifeng Liu, & Shifeng Zhao. (2019). Vascular segmentation of neuroimages based on a prior shape and local statistics. Frontiers of Information Technology & Electronic Engineering. 20(8). 1099–1108. 1 indexed citations
10.
Zhao, Shifeng, et al.. (2019). Intracranial Vascular Structure Extraction: A Machine Learning Approach. IEEE Access. 7. 100933–100942. 2 indexed citations
11.
Liu, Tao, Yun Tian, Shifeng Zhao, Xiaoying Huang, & Qingjun Wang. (2019). Automatic Whole Heart Segmentation Using a Two-Stage U-Net Framework and an Adaptive Threshold Window. IEEE Access. 7. 83628–83636. 33 indexed citations
12.
Zhao, Shifeng, et al.. (2018). Vascular Extraction Using MRA Statistics and Gradient Information. Mathematical Problems in Engineering. 2018. 1–8. 5 indexed citations
13.
Cao, Jianfang, Lichao Chen, Min Wang, & Yun Tian. (2018). Implementing a Parallel Image Edge Detection Algorithm Based on the Otsu-Canny Operator on the Hadoop Platform. Computational Intelligence and Neuroscience. 2018. 1–12. 63 indexed citations
14.
Sun, Lin, Ruonan Liu, Jiucheng Xu, Shiguang Zhang, & Yun Tian. (2018). An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE. IEEE Access. 6. 68892–68909. 31 indexed citations
15.
Cao, Jianfang, Lichao Chen, Min Wang, Hao Shi, & Yun Tian. (2016). A Parallel Adaboost-Backpropagation Neural Network for Massive Image Dataset Classification. Scientific Reports. 6(1). 38201–38201. 11 indexed citations
16.
Tian, Yun, et al.. (2016). SecHDFS: A Secure Data Allocation Scheme for Heterogenous Hadoop Systems. 1–2. 1 indexed citations
17.
Wang, Jiaxin, et al.. (2016). An Active Contour Model Based on Adaptive Threshold for Extraction of Cerebral Vascular Structures. Computational and Mathematical Methods in Medicine. 2016. 1–9. 13 indexed citations
18.
Cao, Jianfang, Min Wang, Hao Shi, Guohua Hu, & Yun Tian. (2016). A New Approach for Large-Scale Scene Image Retrieval Based on Improved Parallelk-Means Algorithm in MapReduce Environment. Mathematical Problems in Engineering. 2016. 1–17. 6 indexed citations
19.
Tian, Yun, et al.. (2014). Automatic Blastomere Recognition from a Single Embryo Image. Computational and Mathematical Methods in Medicine. 2014. 1–7. 12 indexed citations
20.
Tian, Yun & Zhigang Mei. (2008). Incremental Learning for Interaction Dynamics with the Influence Model.

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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