Zihan Yang

605 total citations
60 papers, 344 citations indexed

About

Zihan Yang is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Zihan Yang has authored 60 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Biomedical Engineering, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Zihan Yang's work include Optical Coherence Tomography Applications (19 papers), Photoacoustic and Ultrasonic Imaging (10 papers) and Ear Surgery and Otitis Media (5 papers). Zihan Yang is often cited by papers focused on Optical Coherence Tomography Applications (19 papers), Photoacoustic and Ultrasonic Imaging (10 papers) and Ear Surgery and Otitis Media (5 papers). Zihan Yang collaborates with scholars based in China, United States and Australia. Zihan Yang's co-authors include Yanmei Liang, Chenlu Liu, Richard Sinnott, James Bailey, Qiuhong Ke, Wenxuan Liang, Suiren Wan, Di Yang, Hongming Pan and Fang Hou and has published in prestigious journals such as Applied Energy, Science Translational Medicine and IEEE Access.

In The Last Decade

Zihan Yang

44 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zihan Yang China 12 157 86 49 46 31 60 344
Ferhat Sadak Türkiye 10 108 0.7× 34 0.4× 22 0.4× 43 0.9× 21 0.7× 28 358
Abhilasha Singh India 12 36 0.2× 31 0.4× 23 0.5× 43 0.9× 13 0.4× 40 371
Zhongyue Chen China 14 132 0.8× 278 3.2× 43 0.9× 62 1.3× 23 0.7× 37 639
Bingjie Wang China 14 121 0.8× 239 2.8× 78 1.6× 20 0.4× 9 0.3× 66 622
Lin Yi China 10 134 0.9× 19 0.2× 28 0.6× 39 0.8× 5 0.2× 54 363
Ruchire Eranga Wijesinghe South Korea 17 433 2.8× 116 1.3× 38 0.8× 2 0.0× 78 2.5× 55 557
Chunman Yan China 8 153 1.0× 32 0.4× 124 2.5× 30 0.7× 5 0.2× 47 359
Delei Chen United States 7 63 0.4× 96 1.1× 36 0.7× 88 1.9× 12 0.4× 9 384
Shijia Liu China 8 83 0.5× 72 0.8× 49 1.0× 83 1.8× 4 0.1× 38 416
Zhihua Xie China 12 319 2.0× 64 0.7× 51 1.0× 28 0.6× 12 0.4× 60 603

Countries citing papers authored by Zihan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zihan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zihan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zihan Yang. A scholar is included among the top collaborators of Zihan 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 Zihan Yang. Zihan Yang 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
2.
Yang, Zihan, et al.. (2024). A novel F-BiVO4/g-C3N4/CdS dual S-scheme heterojunction for high efficient photocatalytic removal of multiple pollutants. Applied Surface Science. 672. 160738–160738. 6 indexed citations
3.
Ghani, Muhammad Usman, et al.. (2024). Comprehensive review on glucose 6 phosphate dehydrogenase: A critical immunometabolic and redox switch in insects. International Journal of Biological Macromolecules. 273(Pt 2). 132867–132867. 5 indexed citations
4.
Zhang, Junhang, Chen Gong, Zihan Yang, et al.. (2024). Ultrasound Flow Imaging Study on Rat Brain with Ultrasound and Light Stimulations. Bioengineering. 11(2). 174–174. 2 indexed citations
5.
Bai, Juan, et al.. (2024). Cereal-Derived Water-Unextractable Arabinoxylans: Structure Feature, Effects on Baking Products and Human Health. Foods. 13(15). 2369–2369. 10 indexed citations
6.
Yang, Zihan, et al.. (2024). Optical coherence tomography otoscope for imaging of tympanic membrane and middle ear pathology. Journal of Biomedical Optics. 29(8). 86005–86005. 4 indexed citations
7.
Yang, Zihan, Richard Sinnott, James Bailey, & Krista A. Ehinger. (2024). Exploring Automated Data Augmentation Approaches for Deep Learning: A Case Study of Individual Feral Cat Classification. Proceedings of the ... Annual Hawaii International Conference on System Sciences.
8.
Yang, Zihan, Shuhua Deng, Baohua Li, et al.. (2024). The Scheduling Mode of Anesthesia Nurses Affects Postanesthesia Care Unit Efficiency: A Single-Center Retrospective Study From China. Journal of PeriAnesthesia Nursing. 39(5). 736–740.
9.
Wang, Yufeng, et al.. (2024). A wind speed forecasting framework for multiple turbines based on adaptive gate mechanism enhanced multi-graph attention networks. Applied Energy. 372. 123777–123777. 12 indexed citations
10.
Yang, Zihan, et al.. (2023). Deep-Learning-Based Automated Identification and Visualization of Oral Cancer in Optical Coherence Tomography Images. Biomedicines. 11(3). 802–802. 26 indexed citations
11.
Yang, Zihan, et al.. (2022). Classification of salivary gland tumors in optical coherence tomography images based on deep learning. Laser Physics. 32(6). 65601–65601. 1 indexed citations
12.
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
13.
Pan, Hongming, et al.. (2022). Classification of neck tissues in OCT images by using convolutional neural network. Lasers in Medical Science. 38(1). 21–21.
14.
Yang, Zihan, et al.. (2021). Identification of oral precancerous and cancerous tissue by swept source optical coherence tomography. Lasers in Surgery and Medicine. 54(2). 320–328. 16 indexed citations
15.
Yang, Zihan, et al.. (2021). Classification of Salivary Gland Tumors Based on Quantitative Optical Coherence Tomography. Lasers in Surgery and Medicine. 53(6). 830–837. 4 indexed citations
16.
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
17.
Yang, Zihan, et al.. (2021). Classification of oral salivary gland tumors based on texture features in optical coherence tomography images. Lasers in Medical Science. 37(2). 1139–1146. 6 indexed citations
18.
Yang, Zihan, et al.. (2020). Identification of oral squamous cell carcinoma in optical coherence tomography images based on texture features. Journal of Innovative Optical Health Sciences. 14(1). 8 indexed citations
19.
Pan, Hongming, et al.. (2020). Multimodal imaging with integrated auto-fluorescence and optical coherence tomography for identification of neck tissues. Lasers in Medical Science. 36(5). 1023–1029. 1 indexed citations
20.
Liang, Wenxuan, et al.. (2019). Robust, accurate depth-resolved attenuation characterization in optical coherence tomography. Biomedical Optics Express. 11(2). 672–672. 16 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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