Zhaolin Lu

431 total citations
31 papers, 321 citations indexed

About

Zhaolin Lu is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Zhaolin Lu has authored 31 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Mechanical Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Zhaolin Lu's work include Image and Video Quality Assessment (9 papers), Advanced Image Processing Techniques (7 papers) and Mineral Processing and Grinding (6 papers). Zhaolin Lu is often cited by papers focused on Image and Video Quality Assessment (9 papers), Advanced Image Processing Techniques (7 papers) and Mineral Processing and Grinding (6 papers). Zhaolin Lu collaborates with scholars based in China, Singapore and Taiwan. Zhaolin Lu's co-authors include Leida Li, Shiyin Li, Yao Lu, Ke Gu, Shuai Ma, Hang Li, Jeng‐Shyang Pan, Xiaoping Yuan, Jinhe Pan and Zhiping Wen and has published in prestigious journals such as IEEE Access, Renewable Energy and Information Sciences.

In The Last Decade

Zhaolin Lu

31 papers receiving 311 citations

Peers

Zhaolin Lu

CVPR

EEE

Yong Xian China

Songsong Li China

Yaxiong Huang China

Xiujuan Li China

Maria Bernadete de Morais França Brazil

Mingming Zhang China

Wanli Zhang China

Mohsen Mirzaei Iran

R. Mateos Spain

Yong Xian China

Zhaolin Lu

126 ×1.0

CVPR

38 ×0.6

EEE

44 ×0.7

40 ×0.8

28 ×0.6

Citations per year, relative to Zhaolin Lu Zhaolin Lu (= 1×) peers Yong Xian

Countries citing papers authored by Zhaolin Lu

Since Specialization

Citations

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

Fields of papers citing papers by Zhaolin Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaolin Lu

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

All Works

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20 of 20 papers shown

Lu, Zhaolin, et al.. (2024). A Novel Lung Nodule Detection and Recognition Model Based on Deep Learning. IEEE Access. 12. 155990–156002. 2 indexed citations

Lu, Zhaolin, et al.. (2024). ChoroidSeg-ViT: A Transformer Model for Choroid Layer Segmentation Based on a Mixed Attention Feature Enhancement Mechanism. Translational Vision Science & Technology. 13(9). 7–7. 1 indexed citations

Sun, Xu, Yijun Wu, Lin Lü, et al.. (2023). Bone Microarchitecture and Volumetric Mineral Density Assessed by HR-pQCT in Patients with 21- and 17α-Hydroxylase Deficiency. Calcified Tissue International. 113(5). 515–525. 2 indexed citations

Li, Xin, et al.. (2023). An image segmentation method of pulverized coal for particle size analysis. International Journal of Mining Science and Technology. 33(9). 1181–1192. 13 indexed citations

Yu, Zhou, et al.. (2022). Research progress in objective quality evaluation of virtual reality images. Journal of Image and Graphics. 27(8). 2313–2328. 3 indexed citations

Zhao, Yuemin, et al.. (2022). Machine learning prediction of calorific value of coal based on the hybrid analysis. International Journal of Coal Preparation and Utilization. 43(3). 577–598. 2 indexed citations

Lu, Zhaolin, et al.. (2022). Rapid detection of coal ash based on machine learning and X-ray fluorescence. Journal of Mining Institute. 256. 663–676. 11 indexed citations

Wen, Zhiping, et al.. (2021). Deep learning-based ash content prediction of coal flotation concentrate using convolutional neural network. Minerals Engineering. 174. 107251–107251. 42 indexed citations

Li, Yanjiao, Yuemin Zhao, Ziming Wang, et al.. (2021). Segregation and mixing behavior of geldart D binary particles in pulsed gas-solid fluidized bed. Particulate Science And Technology. 40(4). 434–444. 10 indexed citations

10.

Xu, Hui, et al.. (2019). No-Reference Quality Assessment Method for Blurriness of SEM Micrographs with Multiple Texture. Scanning. 2019. 1–15. 4 indexed citations

11.

Li, Leida, et al.. (2019). No-reference Sharpness Index for Scanning Electron Microscopy Images Based on Dark Channel Prior. KSII Transactions on Internet and Information Systems. 13(5). 7 indexed citations

12.

Wang, Guangcheng, Feng Zhu, Zhaolin Lu, & Xiaoping Yuan. (2018). No-Reference Quality Assessment of Super-Resolution Reconstructed Images by Incorporating Domain Knowledge.. J. Inf. Hiding Multim. Signal Process.. 9. 496–505. 4 indexed citations

13.

Wang, Jie, Yaqun He, Xiaolu Zhao, et al.. (2018). A series of nonionic surfactants for lignite flotation and adsorption performance. International Journal of Coal Preparation and Utilization. 41(1). 1–13. 8 indexed citations

14.

Lu, Yongchao, Yao Lu, Zhaolin Lu, & Xian‐Yong Wei. (2017). Detailed Componential Characterization of Extractable Species with Organic Solvents from Wheat Straw. International Journal of Analytical Chemistry. 2017. 1–9. 6 indexed citations

15.

Wang, Guangcheng, Leida Li, Qiaohong Li, et al.. (2017). Perceptual evaluation of single-image super-resolution reconstruction. 26. 3145–3149. 20 indexed citations

16.

Lu, Zhaolin, et al.. (2017). Particle Morphology Analysis of Biomass Material Based on Improved Image Processing Method. International Journal of Analytical Chemistry. 2017. 1–9. 21 indexed citations

17.

Li, Leida, et al.. (2017). No-Reference Quality Assessment of Deblurred Images Based on Natural Scene Statistics. IEEE Access. 5. 2163–2171. 38 indexed citations

18.

Zhou, Yu, Leida Li, Ke Gu, et al.. (2017). DIBR-Synthesized Image Quality Assessment via Statistics of Edge Intensity and Orientation. IEICE Transactions on Information and Systems. E100.D(8). 1929–1933. 6 indexed citations

19.

Lu, Zhaolin, et al.. (2015). Automobile style evaluation based on eye tracking. Journal of Tsinghua University(Science and Technology). 55(7). 775–781. 1 indexed citations

20.

Lu, Zhaolin, Jiansheng Qian, & Leida Li. (2011). Gradient based restoration of coal mine images obtained by underground wireless transmissions. Mining Science and Technology (China). 21(6). 809–813. 1 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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