Ying Shen

2.0k total citations · 1 hit paper
67 papers, 1.5k citations indexed

About

Ying Shen is a scholar working on Renewable Energy, Sustainability and the Environment, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ying Shen has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Renewable Energy, Sustainability and the Environment, 16 papers in Biomedical Engineering and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ying Shen's work include Algal biology and biofuel production (21 papers), Advanced Image Processing Techniques (7 papers) and Advanced Image Fusion Techniques (6 papers). Ying Shen is often cited by papers focused on Algal biology and biofuel production (21 papers), Advanced Image Processing Techniques (7 papers) and Advanced Image Fusion Techniques (6 papers). Ying Shen collaborates with scholars based in China, United States and Taiwan. Ying Shen's co-authors include Wenqiao Yuan, Enrong Mao, Zhijian Pei, Shih‐Hsin Ho, Ronghao Li, Xin Xu, Jianfeng Chen, Youping Xie, Xiangyang Lin and Huan Li and has published in prestigious journals such as Bioresource Technology, Scientific Reports and Carbon.

In The Last Decade

Ying Shen

62 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

YOLOSR-IST: A deep learning method for small target detection in infrared remote sensing images based on super-resolution and YOLO

2023 89 citations Ying Shen et al. profile →

Peers

Ying Shen

RESE

BE

EEE

MB

EC

Jinhui Jiang China

Qinglong Liu China

Wang Yingkuan China

Junfeng Wu China

Ahmed Mahdy Egypt

Li Sun China

Yu Shen China

Abhijit Mondal India

Jinhui Jiang China

Ying Shen

761 ×1.1

RESE

200 ×0.5

BE

521 ×3.2

EEE

76 ×0.5

MB

86 ×0.6

EC

Citations per year, relative to Ying Shen Ying Shen (= 1×) peers Jinhui Jiang

Countries citing papers authored by Ying Shen

Since Specialization

Citations

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

Fields of papers citing papers by Ying Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Shen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Huang, Feng, Hongwei Liu, Liqiong Chen, Ying Shen, & Min‐Teh Yu. (2025). Feature enhanced cascading attention network for lightweight image super-resolution. Scientific Reports. 15(1). 2051–2051. 1 indexed citations

2.

Shen, Ying, et al.. (2025). Spatial–temporal pattern and drivers associated with measles resurgence from 2018 to 2023: a global perspective from 192 countries. BMJ Public Health. 3(1). e001912–e001912. 1 indexed citations

3.

Chen, Liqiong, Xin‐She Yang, Shu Wang, et al.. (2025). PFAN: progressive feature aggregation network for lightweight image super-resolution. The Visual Computer. 41(11). 8431–8450. 1 indexed citations

4.

Ou, Kai, et al.. (2025). Numerical analysis of a novel double-scroll air compressor with co-rotating variable cross-section for fuel cells. Energy. 337. 138504–138504.

5.

Ou, Kai, et al.. (2025). An energy-circuit-based fuel cell air compressor system model reconstruction and predictive control approach. Renewable Energy. 254. 123696–123696.

6.

Shen, Ying, et al.. (2024). Progressive CNN-transformer alternating reconstruction network for hyperspectral image reconstruction—A case study in red tide detection. International Journal of Applied Earth Observation and Geoinformation. 134. 104129–104129. 2 indexed citations

7.

Shen, Ying, et al.. (2024). Predictive Control Scheme for Fuel Cell Air Compressor Efficiency Enhancement with Surge‐ and Choke‐Constrained Awareness. Advanced Theory and Simulations. 7(6).

8.

Zhang, Xiaofei, et al.. (2024). MAEMOT: Pretrained MAE-Based Antiocclusion 3-D Multiobject Tracking for Autonomous Driving. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 10721–10735. 2 indexed citations

9.

Huang, Feng, et al.. (2024). Polarization of road target detection under complex weather conditions. Scientific Reports. 14(1). 30348–30348. 1 indexed citations

10.

Liu, Zhen, et al.. (2024). Responses of soil nutrients, enzyme activities, and maize yield to straw and plastic film mulching in coastal saline-alkaline. Plant Soil and Environment. 70(1). 40–47. 5 indexed citations

11.

Shen, Ying, et al.. (2022). A Self-Reference Interference Sensor Based on Coherence Multiplexing. Frontiers in Chemistry. 10. 880081–880081. 3 indexed citations

12.

Shen, Ying, et al.. (2021). Camouflaged Target Detection Based on Snapshot Multispectral Imaging. Remote Sensing. 13(19). 3949–3949. 20 indexed citations

13.

Shen, Ying, et al.. (2020). Wavelet Transform-Based Energy Management Strategy for Fuel Cell/Variable-Structure Super-capacitor Hybrid Power System. 732–736. 2 indexed citations

14.

Shen, Ying, Huan Li, Shih‐Hsin Ho, et al.. (2018). Enhancing cadmium bioremediation by a complex of water-hyacinth derived pellets immobilized with Chlorella sp.. Bioresource Technology. 257. 157–163. 63 indexed citations

15.

Ho, Shih‐Hsin, Congyu Zhang, Wei‐Hsin Chen, Ying Shen, & Jo‐Shu Chang. (2018). Characterization of biomass waste torrefaction under conventional and microwave heating. Bioresource Technology. 264. 7–16. 86 indexed citations

16.

Wu, Wei, Xianwei Wang, Jing Fan, et al.. (2018). A Long Time-Series Radiometric Normalization Method for Landsat Images. Sensors. 18(12). 4505–4505. 7 indexed citations

17.

Chen, Ying, et al.. (2016). Classification and Identification of magnetic resonance image of neuromuscular disease DMD with wavelet transform and artificial neural network. 42(4). 346. 1 indexed citations

18.

Shen, Ying, H. Zhang, Xin Xu, & Xiangyang Lin. (2014). Biofilm formation and lipid accumulation of attached culture of Botryococcus braunii. Bioprocess and Biosystems Engineering. 38(3). 481–488. 58 indexed citations

19.

Shen, Ying, et al.. (2010). Optimization of clear liquid fermentation condition for ethanol production from Canna edulis Kerl. Natural Science. 2(2). 115–119. 1 indexed citations

20.

Shen, Ying, Zhijian Pei, Wenqiao Yuan, & Enrong Mao. (2009). Effect of nitrogen and extraction method on algae lipid yield. International journal of agricultural and biological engineering. 2(1). 51–57. 103 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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