Na Yang

416 total citations
32 papers, 277 citations indexed

About

Na Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Na Yang has authored 32 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Na Yang's work include Optical measurement and interference techniques (6 papers), Optical Coherence Tomography Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Na Yang is often cited by papers focused on Optical measurement and interference techniques (6 papers), Optical Coherence Tomography Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Na Yang collaborates with scholars based in China, United States and Spain. Na Yang's co-authors include Houjin Chen, Yanfeng Li, Yongyi Yang, Wendi Heinzelman, Haihua An, Yiping Cao, Linlin Zhang, Haitao Wu, Ilker Demirkol and Cai Xu and has published in prestigious journals such as IEEE Access, Pattern Recognition and Journal of Medical Internet Research.

In The Last Decade

Na Yang

28 papers receiving 258 citations

Peers

Na Yang

CVPR

RNMI

Tohru Kamiya Japan

Hang Shao China

Pedro Ribeiro Mendes Júnior Brazil

N. Santhiyakumari India

Tati L. R. Mengko Indonesia

R.N. Czerwinski United States

Youlian Zhu China

Antoine Manzanera France

Ehsan Hosseini-Asl United States

Tohru Kamiya Japan

Na Yang

99 ×0.7

CVPR

83 ×1.0

89 ×1.4

RNMI

22 ×0.5

37 ×0.9

Citations per year, relative to Na Yang Na Yang (= 1×) peers Tohru Kamiya

Countries citing papers authored by Na Yang

Since Specialization

Citations

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

Fields of papers citing papers by Na Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Yang

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

Lin, Dong, et al.. (2025). True 3D thermal inspection of buildings using multimodal UAV images. Journal of Building Engineering. 100. 111806–111806. 4 indexed citations

Yang, Na, et al.. (2025). SS-YOLO: A Lightweight Deep Learning Model Focused on Side-Scan Sonar Target Detection. Journal of Marine Science and Engineering. 13(1). 66–66. 6 indexed citations

Liu, Qirui, Chunmei Liu, Na Yang, et al.. (2025). From chaos to symbiosis: exploring adaptive co-evolution strategies for generative AI and research integrity systems. BMC Medical Ethics. 26(1). 120–120.

Yang, Na, et al.. (2025). Deep Learning Extraction of Tidal Creeks in the Yellow River Delta Using GF-2 Imagery. Remote Sensing. 17(4). 676–676. 1 indexed citations

Xu, Tong, et al.. (2024). A narrative review on the application of artificial intelligence in renal ultrasound. Frontiers in Oncology. 13. 1252630–1252630. 3 indexed citations

Zhang, Yuquan, et al.. (2024). SIS-CAM: An Interpretability Analysis Method for the Security of Convolutional Neural Network Models Based on Image Big Data. Journal of Signal Processing Systems. 96(12). 871–886.

Xu, Yixin, et al.. (2024). Predicting rectal cancer prognosis from histopathological images and clinical information using multi-modal deep learning. Frontiers in Oncology. 14. 1353446–1353446. 2 indexed citations

Zhang, Hechen, Yiping Cao, Cai Xu, et al.. (2023). Real-time computer-generated frequency-carrier Moiré profilometry with three-frequency heterodyne temporal phase unwrapping. Optics & Laser Technology. 161. 109201–109201. 10 indexed citations

Xu, Cai, Yiping Cao, Na Yang, & Haitao Wu. (2023). Single-shot N-step Phase Measuring Profilometry based on algebraic addition and subtraction. Optik. 276. 170665–170665. 3 indexed citations

10.

An, Haihua, et al.. (2022). Absolute phase retrieval using one coding pattern for the dynamic 3-D measurement. Optics and Lasers in Engineering. 159. 107213–107213. 6 indexed citations

11.

Wu, Haitao, Yiping Cao, Haihua An, et al.. (2022). A novel phase-shifting profilometry to realize temporal phase unwrapping simultaneously with the least fringe patterns. Optics and Lasers in Engineering. 153. 107004–107004. 32 indexed citations

12.

Yan, Zhao, et al.. (2020). Chinese Short Text Entity Linking Based On Semantic Similarity and Entity Correlation. 426–431. 4 indexed citations

13.

Liang, Bin, et al.. (2020). Identification of the Facial Features of Patients With Cancer: A Deep Learning–Based Pilot Study. Journal of Medical Internet Research. 22(4). e17234–e17234. 13 indexed citations

14.

Wu, Haitao, Yiping Cao, Haihua An, et al.. (2020). Improved 2 + 1 phase-shifting algorithm for suppressing ambient light influence. Optical Engineering. 59(12). 6 indexed citations

15.

Gan, Meng, et al.. (2019). Fast esophageal layer segmentation in OCT images of guinea pigs based on sparse Bayesian classification and graph search. Biomedical Optics Express. 10(2). 978–978. 11 indexed citations

16.

Gan, Meng, et al.. (2018). Robust layer segmentation of esophageal OCT images based on graph search using edge-enhanced weights. Biomedical Optics Express. 9(9). 4481–4481. 14 indexed citations

17.

Yang, Na, et al.. (2017). Speckle reduction for optical coherence tomography images based on local variance. 4. 1–5. 1 indexed citations

18.

Eskimez, Şefik Emre, et al.. (2016). Emotion classification: How does an automated system compare to Naive human coders?. 2274–2278. 14 indexed citations

19.

Yang, Na. (2011). An Efficient Algorithm for Compressed Sensing Image Reconstruction. Dianzi xuebao. 2 indexed citations

20.

Hao, Xiaoli, et al.. (2011). Occupant Detection through Near-Infrared Imaging. Journal of Applied Science and Engineering. 14(3). 275–283. 7 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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