Kang Yang

425 total citations
20 papers, 277 citations indexed

About

Kang Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kang Yang has authored 20 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Biomedical Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kang Yang's work include Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (5 papers) and Viral gastroenteritis research and epidemiology (3 papers). Kang Yang is often cited by papers focused on Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (5 papers) and Viral gastroenteritis research and epidemiology (3 papers). Kang Yang collaborates with scholars based in China, Canada and Hong Kong. Kang Yang's co-authors include Dongdong Zhang, Hongyang Jiang, Wei Qian, He Ma, Mengdi Gao, Jie Xu, Guyue Zhou, Mengdi Gao, Ketan Tang and Kai Wang and has published in prestigious journals such as Journal of Virology, IEEE Access and Composites Part B Engineering.

In The Last Decade

Kang Yang

18 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kang Yang China	8	181	91	84	65	38	20	277
Sonali Sonali India	7	157 0.9×	142 1.6×	73 0.9×	16 0.2×	43 1.1×	15	336
Henry A. Leopold Canada	6	152 0.8×	112 1.2×	116 1.4×	11 0.2×	26 0.7×	10	259
Sajib Saha Australia	12	434 2.4×	161 1.8×	287 3.4×	33 0.5×	44 1.2×	58	603
Juan Morales‐Sánchez Spain	10	188 1.0×	177 1.9×	74 0.9×	6 0.1×	29 0.8×	49	381
Along He China	6	289 1.6×	248 2.7×	140 1.7×	46 0.7×	128 3.4×	14	518
Malavika Bhaskaranand United States	9	322 1.8×	107 1.2×	292 3.5×	34 0.5×	23 0.6×	21	433
P. Venkata Subbaiah India	7	242 1.3×	166 1.8×	191 2.3×	17 0.3×	16 0.4×	49	332
Peilun Shi Hong Kong	5	67 0.4×	57 0.6×	21 0.3×	13 0.2×	76 2.0×	8	234
Rafael Verdú‐Monedero Spain	11	169 0.9×	170 1.9×	80 1.0×	5 0.1×	16 0.4×	42	366

Countries citing papers authored by Kang Yang

Since Specialization

Citations

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

Fields of papers citing papers by Kang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Yang

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

Ma, Yongliang, Haihan Zhang, Liang Xie, et al.. (2025). Substitution of magnesium towards stabilizing low-nickel layered oxides for high voltage and cost-effective sodium-ion batteries. Sustainable Energy & Fuels. 9(4). 981–990. 3 indexed citations

Tu, Haiyan, Xiaoyue Tan, Zhongping Yin, et al.. (2025). Nonintrusive Fatigue Detection Based on Multidomain Features of Sitting Pressure and Machine Learning. IEEE Sensors Journal. 25(7). 11749–11758.

Yang, Kang, et al.. (2025). Paeonol inhibits the Glycolysis in oral squamous cell carcinoma though suppressing NAT10-mediated ac4C modification. BMC Cancer. 25(1). 629–629. 1 indexed citations

Chen, Jing, Chenxi Li, Li J, et al.. (2025). Glycogen synthase kinase 3 promotes the proliferation of porcine epidemic diarrhoea virus by phosphorylating the nucleocapsid protein. Virulence. 16(1). 2506504–2506504. 1 indexed citations

Lv, Xuan, Zicheng Zhang, Miao Zhang, et al.. (2024). Emerging fatal gout disease in Chinese goslings linked to acute kidney injury induced by novel goose astrovirus infection. Frontiers in Cellular and Infection Microbiology. 14. 1470808–1470808. 1 indexed citations

Yang, Kang, Jiarui Dong, Li J, et al.. (2024). The neonatal Fc receptor (FcRn) is required for porcine reproductive and respiratory syndrome virus uncoating. Journal of Virology. 99(1). e0121824–e0121824. 7 indexed citations

Wang, Yayun, Zhigang Chen, Zhongqing Wu, et al.. (2024). Ion-induced electrospinning of hierarchical spiderweb-like bioscaffolds. Composites Part B Engineering. 284. 111729–111729. 7 indexed citations

Zhang, Haihan, Liang Xie, Weibo Hua, et al.. (2024). Advancements in the Realm of Structural Engineering for Sodium‐Ion Batteries via Elemental Doping: A Focus on P2‐Phase Nickel–Manganese Layered Oxides. Battery energy. 4(3). 3 indexed citations

Jiang, Hongyang, Jie Xu, Kang Yang, et al.. (2020). A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification. PubMed. 2020. 1560–1563. 50 indexed citations

10.

Yang, Kang, et al.. (2019). Nonlocal Weighted Nuclear Norm Minimization based Sparse-Sampling CT Image Reconstruction. 1700–1703. 4 indexed citations

11.

Xia, Wenjun, et al.. (2019). Sparse-View Ct Reconstruction Via Convolutional Sparse Coding. 31. 1446–1449. 1 indexed citations

12.

Jiang, Hongyang, Kang Yang, Mengdi Gao, et al.. (2019). An Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease Classification. PubMed. 2019. 2045–2048. 134 indexed citations

13.

Yang, Kang, et al.. (2019). Research on Time-of-station Prediction of Tram Based on Support Vector Machine. Journal of Physics Conference Series. 1345(6). 62049–62049. 1 indexed citations

14.

Zhang, Yi, et al.. (2018). NOWNUNM: Nonlocal Weighted Nuclear Norm Minimization for Sparse-Sampling CT Reconstruction. IEEE Access. 6. 73370–73379. 11 indexed citations

15.

Zhou, Guyue, et al.. (2015). Guidance: A visual sensing platform for robotic applications. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 9–14. 29 indexed citations

16.

Yang, Kang, et al.. (2014). Fan beam image reconstruction with generalized fourier slice theorem. Journal of X-Ray Science and Technology. 22(4). 415–436. 6 indexed citations

17.

Zhou, Guyue, Ang Liu, Kang Yang, Tao Wang, & Zexiang Li. (2014). An Embedded Solution to Visual Mapping for Consumer Drones. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 670–675. 7 indexed citations

18.

Yang, Kang, et al.. (2011). Reconstruction from truncated projections using mixed extrapolations of exponential and quadratic functions. Journal of X-Ray Science and Technology. 19(2). 155–172.

19.

Yang, Kang, et al.. (2011). Reconstruction from truncated projections using mixed extrapolations of exponential and quadratic functions. Journal of X-Ray Science and Technology. 19(2). 155–172. 7 indexed citations

20.

Yang, Kang, et al.. (2011). Interior reconstruction using local inverse. Journal of X-Ray Science and Technology. 19(1). 69–90. 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.

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