Yan Dong

627 total citations
35 papers, 372 citations indexed

About

Yan Dong is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Yan Dong has authored 35 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 13 papers in Industrial and Manufacturing Engineering. Recurrent topics in Yan Dong's work include Industrial Vision Systems and Defect Detection (12 papers), Image Processing Techniques and Applications (12 papers) and Visual Attention and Saliency Detection (4 papers). Yan Dong is often cited by papers focused on Industrial Vision Systems and Defect Detection (12 papers), Image Processing Techniques and Applications (12 papers) and Visual Attention and Saliency Detection (4 papers). Yan Dong collaborates with scholars based in China, United Kingdom and United States. Yan Dong's co-authors include Chunlei Li, Zhoufeng Liu, Xingshi He, Qingqing Zhang, Shanliang Liu, Yongsheng Zhu, Dongya Wu, Guangshuai Gao, Xiaohong Su and Boyang Qu and has published in prestigious journals such as IEEE Access, Smart Materials and Structures and Signal Processing.

In The Last Decade

Yan Dong

32 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yan Dong China	12	163	158	76	58	55	35	372
Rakesh Ranjan United States	10	262 1.6×	42 0.3×	115 1.5×	24 0.4×	27 0.5×	51	490
Zhoufeng Liu China	12	218 1.3×	268 1.7×	96 1.3×	30 0.5×	14 0.3×	49	495
Zhigang Ling China	10	236 1.4×	108 0.7×	109 1.4×	39 0.7×	40 0.7×	34	368
Xianen Zhou China	7	161 1.0×	168 1.1×	51 0.7×	24 0.4×	40 0.7×	25	308
Qing Zhu China	8	171 1.0×	154 1.0×	53 0.7×	26 0.4×	24 0.4×	31	333
Jun Cao China	10	42 0.3×	114 0.7×	10 0.1×	17 0.3×	18 0.3×	51	342
Thomas Längle Germany	12	99 0.6×	64 0.4×	28 0.4×	52 0.9×	41 0.7×	84	390
Shi-Nine Yang Taiwan	9	307 1.9×	37 0.2×	33 0.4×	7 0.1×	26 0.5×	32	433
Zhisheng Zhang China	10	187 1.1×	28 0.2×	93 1.2×	31 0.5×	47 0.9×	52	304
Fupei Wu China	10	66 0.4×	128 0.8×	60 0.8×	80 1.4×	8 0.1×	26	299

Countries citing papers authored by Yan Dong

Since Specialization

Citations

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

Fields of papers citing papers by Yan Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Dong. A scholar is included among the top collaborators of Yan Dong 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 Yan Dong. Yan Dong 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

Dong, Yan, et al.. (2024). Optical Remote Sensing Object Detection Based on Background Separation and Small Object Compensation Strategy. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 19. 3341–3351. 11 indexed citations

Li, Chunlei, et al.. (2023). Real‐time seed sorting system via 2D information entropy‐based CNN pruning and TensorRt acceleration. IET Image Processing. 17(6). 1694–1708. 6 indexed citations

Guo, Zhichang, et al.. (2022). A Non-Local Diffusion Equation for Noise Removal. Acta Mathematica Scientia. 42(5). 1779–1808.

Dong, Yan, et al.. (2022). Lightweight and efficient neural network with SPSA attention for wheat ear detection. PeerJ Computer Science. 8. e931–e931. 18 indexed citations

Liu, Zhoufeng, et al.. (2021). DLSE-Net: A robust weakly supervised network for fabric defect detection. Displays. 68. 102008–102008. 32 indexed citations

Dong, Yan, Junpu Wang, Chunlei Li, et al.. (2020). Fusing Multilevel Deep Features for Fabric Defect Detection Based NTV-RPCA. IEEE Access. 8. 161872–161883. 11 indexed citations

Sun, Guangmin, et al.. (2020). Small Object Detection in High-Resolution Images Based on Multiscale Detection and Re-training. DEStech Transactions on Computer Science and Engineering. 1 indexed citations

Zhu, Yongsheng, et al.. (2019). Multiobjective dynamic economic emission dispatch using evolutionary algorithm based on decomposition. IEEJ Transactions on Electrical and Electronic Engineering. 14(9). 1323–1333. 30 indexed citations

Guo, Xinhua, et al.. (2018). EMD Threshold Denoising Algorithm Based on Variance Estimation. Circuits Systems and Signal Processing. 37(12). 5369–5388. 18 indexed citations

10.

Wang, Baorui, et al.. (2018). Fabric defect detection based on visual saliency using deep feature and low-rank recovery. 36. 198–198. 2 indexed citations

11.

Wang, Junpu, et al.. (2018). A Novel Patterned Fabric Defect Detection Algorithm based on Dual Norm Low Rank Decomposition. 23. 323–327. 2 indexed citations

12.

Wang, Chao, et al.. (2017). Research Progress of New Thermoelectric Materials. 46(1). 133–150. 1 indexed citations

13.

Dong, Yan, Chunyu Lin, Yao Zhao, & Chao Yao. (2017). Depth map upsampling using joint edge-guided convolutional neural network for virtual view synthesizing. Journal of Electronic Imaging. 26(4). 43004–43004. 4 indexed citations

14.

Liu, Zhoufeng, Lei Yan, Chunlei Li, Yan Dong, & Guangshuai Gao. (2017). Fabric defect detection based on sparse representation of main local binary pattern. International Journal of Clothing Science and Technology. 29(3). 282–293. 19 indexed citations

15.

Dong, Yan, et al.. (2017). RUL prediction for railway vehicle bearings based on fault diagnosis. 6. 2097–2102. 2 indexed citations

16.

Liu, Zhoufeng, et al.. (2015). A fabric defect detection algorithm via context-based local texture saliency analysis. International Journal of Clothing Science and Technology. 27(5). 738–750. 19 indexed citations

17.

Li, Mei & Yan Dong. (2011). The Geometrical Characteristic Description Method of Part Drawing. Advanced materials research. 415-417. 711–714. 1 indexed citations

18.

Zhao, Lijie, Yan Dong, Maolin Wang, Jian Tang, & Tianyou Chai. (2011). Recognition of Mill Load with KPCA and KNN Based on Shell Vibration Signals. 44. 1–4. 1 indexed citations

19.

Zhu, Changchun, Yongfeng Ju, Li Liu, et al.. (2011). A SF₆gas sensor using a dual track SAW device based on multi-wall carbon nanotubes. Smart Materials and Structures. 20(3). 35006–35006. 7 indexed citations

20.

He, Xingshi, et al.. (2009). Feature Selection with Discrete Binary Differential Evolution. 327–330. 58 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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