Yang Dong

1.0k total citations
43 papers, 714 citations indexed

About

Yang Dong is a scholar working on Biomedical Engineering, Plant Science and Analytical Chemistry. According to data from OpenAlex, Yang Dong has authored 43 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Biomedical Engineering, 17 papers in Plant Science and 17 papers in Analytical Chemistry. Recurrent topics in Yang Dong's work include Optical Polarization and Ellipsometry (33 papers), Spectroscopy and Chemometric Analyses (17 papers) and Leaf Properties and Growth Measurement (17 papers). Yang Dong is often cited by papers focused on Optical Polarization and Ellipsometry (33 papers), Spectroscopy and Chemometric Analyses (17 papers) and Leaf Properties and Growth Measurement (17 papers). Yang Dong collaborates with scholars based in China, United Kingdom and United States. Yang Dong's co-authors include Hui Ma, Honghui He, Shaoxiong Liu, Jian Wu, Chao He, Ji Qi, Daniel S. Elson, Lu Si, Nan Zeng and Jintao Chang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Yang Dong

39 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Dong China 15 611 264 226 196 110 43 714
Clément Fallet France 9 485 0.8× 189 0.7× 194 0.9× 131 0.7× 73 0.7× 18 531
Michael F. G. Wood Canada 17 833 1.4× 397 1.5× 297 1.3× 295 1.5× 66 0.6× 25 955
José Luis Arce-Diego Spain 12 397 0.6× 158 0.6× 162 0.7× 95 0.5× 25 0.2× 50 487
Matthieu Dubreuil France 12 420 0.7× 108 0.4× 131 0.6× 137 0.7× 147 1.3× 33 532
Vincent Devlaminck France 11 318 0.5× 77 0.3× 132 0.6× 29 0.1× 63 0.6× 29 366
Justin S. Baba United States 13 299 0.5× 100 0.4× 55 0.2× 165 0.8× 46 0.4× 57 567
Anton Sdobnov Finland 13 329 0.5× 87 0.3× 40 0.2× 182 0.9× 17 0.2× 31 546
Gerda J. Edelman Netherlands 13 304 0.5× 194 0.7× 10 0.0× 214 1.1× 89 0.8× 21 937
Fabrice Pellen France 14 180 0.3× 41 0.2× 48 0.2× 32 0.2× 43 0.4× 40 544
Vladimir Bochko Finland 7 74 0.1× 129 0.5× 39 0.2× 51 0.3× 59 0.5× 22 365

Countries citing papers authored by Yang Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yang Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Dong. A scholar is included among the top collaborators of Yang 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 Yang Dong. Yang Dong 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.
Fan, Jiawei, Yang Dong, Fan Zhang, et al.. (2025). Development of deep learning-based narrow-band imaging endocytoscopic classification for predicting colorectal lesions from a retrospective study. Nature Communications. 16(1). 8351–8351. 1 indexed citations
3.
4.
Si, Lu, et al.. (2023). Deep-learning-based cross-modality translation from Stokes image to bright-field contrast. Journal of Biomedical Optics. 28(10). 102911–102911. 2 indexed citations
5.
Dong, Yang, Lu Si, Wenming Yang, et al.. (2022). Dual Polarization Modality Fusion Network for Assisting Pathological Diagnosis. IEEE Transactions on Medical Imaging. 42(1). 304–316. 17 indexed citations
6.
Guo, Yuchen, Jinhao Lyu, Yang Dong, et al.. (2022). Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study. The Lancet Digital Health. 4(8). e584–e593. 13 indexed citations
7.
Yao, Yue, Min Zuo, Yang Dong, et al.. (2021). Polarization imaging feature characterization of different endometrium phases by machine learning. OSA Continuum. 4(6). 1776–1776. 7 indexed citations
8.
Li, Pengcheng, et al.. (2021). Transmission Mueller matrix imaging with spatial filtering. Optics Letters. 46(16). 4009–4009. 7 indexed citations
9.
Dong, Yang, et al.. (2020). Probing variations of fibrous structures during the development of breast ductal carcinoma tissues via Mueller matrix imaging. Biomedical Optics Express. 11(9). 4960–4960. 21 indexed citations
10.
Huang, Rongrong, Honghui He, Shaoxiong Liu, et al.. (2020). Comparative study of the influence of imaging resolution on linear retardance parameters derived from the Mueller matrix. Biomedical Optics Express. 12(1). 211–211. 32 indexed citations
11.
Liu, Teng, Tong Sun, Honghui He, et al.. (2018). Comparative study of the imaging contrasts of Mueller matrix derived parameters between transmission and backscattering polarimetry. Biomedical Optics Express. 9(9). 4413–4413. 48 indexed citations
12.
Dong, Yang, Honghui He, Wei Sheng, Jian Wu, & Hui Ma. (2017). A quantitative and non-contact technique to characterise microstructural variations of skin tissues during photo-damaging process based on Mueller matrix polarimetry. Scientific Reports. 7(1). 14702–14702. 39 indexed citations
13.
Dong, Yang, Ji Qi, Honghui He, et al.. (2017). Quantitatively characterizing the microstructural features of breast ductal carcinoma tissues in different progression stages by Mueller matrix microscope. Biomedical Optics Express. 8(8). 3643–3643. 99 indexed citations
14.
He, Honghui, Yang Dong, Jialing Zhou, & Hui Ma. (2017). Characterizing microstructural features of biomedical samples by statistical analysis of Mueller matrix images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10063. 100630H–100630H. 4 indexed citations
15.
Dong, Yang, Honghui He, Chao He, et al.. (2016). Characterizing the Effects of Washing by Different Detergents on the Wavelength-Scale Microstructures of Silk Samples Using Mueller Matrix Polarimetry. International Journal of Molecular Sciences. 17(8). 1301–1301. 15 indexed citations
16.
Dong, Yang, Honghui He, Chao He, & Hui Ma. (2016). Quantitatively differentiating microstructural variations of skeletal muscle tissues by multispectral Mueller matrix imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10024. 100241J–100241J. 1 indexed citations
17.
He, Chao, Honghui He, Jintao Chang, et al.. (2015). Characterizing microstructures of cancerous tissues using multispectral transformed Mueller matrix polarization parameters. Biomedical Optics Express. 6(8). 2934–2934. 95 indexed citations
18.
Dong, Yang, et al.. (2006). Investigation on Adhesion Work and Its Effects on Micro Friction. Key engineering materials. 315-316. 784–787. 4 indexed citations
19.
Wang, Zhongdong, Huajun Zhu, Yang Dong, & Feng Gao. (2004). Development of a High-Resolution Quartz Resonator Force and Weight Sensor With Increased Reliability. IEEE/ASME Transactions on Mechatronics. 9(2). 399–406. 9 indexed citations
20.
Wang, Zhentian, et al.. (2001). Off-centre load-insensitive digitalquartz resonator force sensor. IEE Proceedings - Science Measurement and Technology. 148(5). 215–220. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Clément Fallet Breakdown of academic impact, for papers by Michael F. G. Wood Breakdown of academic impact, for papers by José Luis Arce-Diego Breakdown of academic impact, for papers by Matthieu Dubreuil Breakdown of academic impact, for papers by Vincent Devlaminck Breakdown of academic impact, for papers by Justin S. Baba Breakdown of academic impact, for papers by Anton Sdobnov Breakdown of academic impact, for papers by Gerda J. Edelman Breakdown of academic impact, for papers by Fabrice Pellen Breakdown of academic impact, for papers by Vladimir Bochko
Rankless by CCL
2026