Di Yang

806 total citations
53 papers, 438 citations indexed

About

Di Yang is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Di Yang has authored 53 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 20 papers in Biomedical Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Di Yang's work include Optical Coherence Tomography Applications (14 papers), Human Pose and Action Recognition (6 papers) and Advanced Image Processing Techniques (6 papers). Di Yang is often cited by papers focused on Optical Coherence Tomography Applications (14 papers), Human Pose and Action Recognition (6 papers) and Advanced Image Processing Techniques (6 papers). Di Yang collaborates with scholars based in China, France and United States. Di Yang's co-authors include Yanmei Liang, Huamin Yang, Songjiang Li, Junhui Wang, Peng Wang, Muyang Zhang, Peng Zhou, Jun Feng, Hongyu Wang and Hongming Pan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Optics Express and Expert Systems with Applications.

In The Last Decade

Di Yang

46 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Di Yang China	12	128	109	103	92	73	53	438
Hui Yu China	12	122 1.0×	170 1.6×	106 1.0×	97 1.1×	8 0.1×	58	571
Jianxin Lin China	13	22 0.2×	182 1.7×	436 4.2×	39 0.4×	14 0.2×	40	665
Yu‐Chi Lai Taiwan	13	33 0.3×	30 0.3×	220 2.1×	16 0.2×	9 0.1×	43	433
Ehab Essa Egypt	13	82 0.6×	115 1.1×	164 1.6×	50 0.5×	15 0.2×	26	436
Gang Yan China	13	57 0.4×	62 0.6×	317 3.1×	58 0.6×	32 0.4×	55	708
Praveen Sankaran India	12	33 0.3×	124 1.1×	290 2.8×	79 0.9×	21 0.3×	39	455
Seong‐O Shim Saudi Arabia	16	30 0.2×	169 1.6×	243 2.4×	41 0.4×	30 0.4×	48	591
Navin Kumar India	12	23 0.2×	52 0.5×	38 0.4×	19 0.2×	7 0.1×	89	645
Lingqiao Li China	14	63 0.5×	266 2.4×	399 3.9×	153 1.7×	54 0.7×	44	678

Countries citing papers authored by Di Yang

Since Specialization

Citations

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

Fields of papers citing papers by Di Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Yang

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

Yang, Di, et al.. (2025). Advances in OCT resolution enhancement: Deep learning is playing an important role. Optics & Laser Technology. 188. 112982–112982. 2 indexed citations

Yang, Di, et al.. (2025). PS-OCT imaging of the anterior segment under different eyeball rotations. Biomedical Optics Express. 16(4). 1330–1330.

Yang, Di, et al.. (2025). Compact spectral-polarization-modulation method for rapid and versatile polarization measurements in interferometric imaging. Photonics Research. 13(4). 1049–1049. 1 indexed citations

Yang, Di, et al.. (2025). Self-supervised super-resolution for optical coherence tomography images based on a single B-scan spectral data. Optics & Laser Technology. 190. 113255–113255.

Yang, Di, et al.. (2025). Severity assessment of burned skin based on anisotropy of optical coherence elastography. Journal of Innovative Optical Health Sciences. 18(5). 1 indexed citations

Yang, Di, et al.. (2025). Deep learning generalization study on optical coherence tomography image denoising. Physics in Medicine and Biology. 70(14). 145006–145006. 1 indexed citations

Yang, Di, et al.. (2024). Enhancement of OCT en face images by unsupervised deep learning. Physics in Medicine and Biology. 69(11). 115042–115042. 5 indexed citations

Yang, Di, et al.. (2024). Dynamic optical coherence elastography for skin burn assessment: A preliminary study on mice model. Journal of Biophotonics. 17(7). e202400028–e202400028. 7 indexed citations

Li, Tingting, et al.. (2024). SrSNet: Accurate segmentation of stroke lesions by a two-stage segmentation framework with asymmetry information. Expert Systems with Applications. 254. 124329–124329. 9 indexed citations

10.

Yang, Di, et al.. (2023). Information-Rich Multi-Functional OCT for Adult Zebrafish Intra- and Extracranial Imaging. Bioengineering. 10(7). 856–856. 2 indexed citations

11.

Yang, Di, et al.. (2023). Deep learning-based inpainting of saturation artifacts in optical coherence tomography images. Journal of Innovative Optical Health Sciences. 17(3). 6 indexed citations

12.

Yang, Di, et al.. (2023). Self super-resolution of optical coherence tomography images based on deep learning. Optics Express. 31(17). 27566–27566. 14 indexed citations

13.

Yang, Di, et al.. (2022). Digital refocusing based on deep learning in optical coherence tomography. Biomedical Optics Express. 13(5). 3005–3005. 12 indexed citations

14.

Yang, Di, et al.. (2022). A novel approach to automatic sleep stage classification using forehead electrophysiological signals. Heliyon. 8(12). e12136–e12136. 6 indexed citations

15.

Li, Tingting, et al.. (2022). Segmentation Method of Cerebral Aneurysms Based on Entropy Selection Strategy. Entropy. 24(8). 1062–1062. 3 indexed citations

16.

Yang, Di, et al.. (2022). Zebrafish brain and skull imaging based on polarization‐sensitive optical coherence tomography. Journal of Biophotonics. 15(12). e202200112–e202200112. 10 indexed citations

17.

Yang, Di, et al.. (2021). High-resolution polarization-sensitive optical coherence tomography and optical coherence tomography angiography for zebrafish skin imaging. Journal of Innovative Optical Health Sciences. 14(6). 15 indexed citations

18.

Yang, Di, et al.. (2020). Axial Super-Resolution Study for Optical Coherence Tomography Images Via Deep Learning. IEEE Access. 8. 204941–204950. 21 indexed citations

19.

Yang, Di, et al.. (2020). Color Fourier ptychographic microscopy based on symmetrical illumination and wavelength multiplexing. Journal of Optics. 22(6). 65604–65604. 6 indexed citations

20.

Zhang, Muyang, Leilei Zhang, Di Yang, Haitao Liu, & Yanmei Liang. (2019). Symmetrical illumination based extending depth of field in Fourier ptychographic microscopy. Optics Express. 27(3). 3583–3583. 17 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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