Miao Sun

799 total citations
12 papers, 524 citations indexed

About

Miao Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Miao Sun has authored 12 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Miao Sun's work include Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (3 papers) and Protein Structure and Dynamics (2 papers). Miao Sun is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (3 papers) and Protein Structure and Dynamics (2 papers). Miao Sun collaborates with scholars based in China, United States and India. Miao Sun's co-authors include Tony Xiao Han, Ke Zhang, Xingfang Yuan, Tao Liu, Renzhi Cao, Debswapna Bhattacharya, Jianlin Cheng, Jie Hou, Badri Adhikari and Yuanqing Lin and has published in prestigious journals such as Bioinformatics, IEEE Access and Industrial Crops and Products.

In The Last Decade

Miao Sun

10 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miao Sun China 7 271 118 97 55 45 12 524
Anastasios Dimou Greece 14 448 1.7× 234 2.0× 40 0.4× 43 0.8× 57 1.3× 37 772
Chang Wen China 11 218 0.8× 68 0.6× 40 0.4× 22 0.4× 65 1.4× 43 421
Shuo Liu China 13 137 0.5× 96 0.8× 76 0.8× 24 0.4× 32 0.7× 42 533
Andrej Gisbrecht Germany 11 204 0.8× 219 1.9× 63 0.6× 21 0.4× 37 0.8× 27 494
Jiun-Wei Liou Taiwan 5 120 0.4× 131 1.1× 36 0.4× 40 0.7× 38 0.8× 8 432
Yuanyuan Ding China 13 438 1.6× 209 1.8× 58 0.6× 30 0.5× 29 0.6× 35 671
Maria Valueva Russia 7 116 0.4× 143 1.2× 26 0.3× 66 1.2× 34 0.8× 26 462
Tongfeng Sun China 12 216 0.8× 194 1.6× 22 0.2× 32 0.6× 49 1.1× 43 450
Yuting Yang China 11 207 0.8× 64 0.5× 29 0.3× 58 1.1× 29 0.6× 39 488

Countries citing papers authored by Miao Sun

Since Specialization
Citations

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

Fields of papers citing papers by Miao Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Miao Sun. A scholar is included among the top collaborators of Miao Sun 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 Miao Sun. Miao Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Li, Shulong, et al.. (2025). EGF-Former: An efficient network for structural segmentation and phenotype extraction of sweet peppers in complex environments. Industrial Crops and Products. 227. 120850–120850.
2.
3.
Sun, Miao, et al.. (2024). A study on hyperspectral soil total nitrogen inversion using a hybrid deep learning model CBiResNet-BiLSTM. Chemical and Biological Technologies in Agriculture. 11(1). 6 indexed citations
4.
Jiang, Donghui, et al.. (2024). EFS-Former: An Efficient Network for Fruit Tree Leaf Disease Segmentation and Severity Assessment. Agronomy. 14(9). 1992–1992. 1 indexed citations
5.
6.
Eickholt, Jesse, et al.. (2020). TopQA: a topological representation for single-model protein quality assessment with machine learning. International Journal of Computational Biology and Drug Design. 13(1). 144–144. 6 indexed citations
7.
8.
Zhang, Ke, Ce Gao, Miao Sun, et al.. (2017). Age Group and Gender Estimation in the Wild With Deep RoR Architecture. IEEE Access. 5. 22492–22503. 82 indexed citations
9.
Zhang, Ke, et al.. (2017). Residual Networks of Residual Networks: Multilevel Residual Networks. IEEE Transactions on Circuits and Systems for Video Technology. 28(6). 1303–1314. 266 indexed citations
10.
Sun, Miao, Tony Xiao Han, Ming‐Chang Liu, & Ahmad Khodayari-Rostamabad. (2016). Multiple Instance Learning Convolutional Neural Networks for object recognition. 39 indexed citations
11.
Cao, Renzhi, Badri Adhikari, Debswapna Bhattacharya, et al.. (2016). QAcon: single model quality assessment using protein structural and contact information with machine learning techniques. Bioinformatics. 33(4). 586–588. 80 indexed citations
12.
Zou, Will Y., Xiaoyu Wang, Miao Sun, & Yuanqing Lin. (2014). Generic Object Detection with Dense Neural Patterns and Regionlets. 72.1–72.11. 42 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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2026