Ting Yang

1.4k total citations
64 papers, 1.0k citations indexed

About

Ting Yang is a scholar working on Atomic and Molecular Physics, and Optics, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ting Yang has authored 64 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atomic and Molecular Physics, and Optics, 18 papers in Aerospace Engineering and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ting Yang's work include Orbital Angular Momentum in Optics (15 papers), Advanced SAR Imaging Techniques (12 papers) and Optical Wireless Communication Technologies (7 papers). Ting Yang is often cited by papers focused on Orbital Angular Momentum in Optics (15 papers), Advanced SAR Imaging Techniques (12 papers) and Optical Wireless Communication Technologies (7 papers). Ting Yang collaborates with scholars based in China, United States and Hong Kong. Ting Yang's co-authors include Rajesh Kumar, Jay Kumar, Abdullah Aman Khan, Wenyong Wang, Xianxiang Chen, Qiang Zhang, Qingyuan Zhan, Shanhong Xia, Zhijun Qiao and Ruyan Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Sensors.

In The Last Decade

Ting Yang

58 papers receiving 978 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ting Yang China	14	291	170	169	162	148	64	1.0k
Hai Lin China	16	165 0.6×	135 0.8×	191 1.1×	293 1.8×	212 1.4×	128	1.0k
Hajime Nagahara Japan	22	293 1.0×	276 1.6×	91 0.5×	1.1k 7.0×	192 1.3×	158	1.8k
Dilip K. Prasad Singapore	22	254 0.9×	82 0.5×	365 2.2×	959 5.9×	116 0.8×	110	2.0k
Jingjing Zhang China	16	89 0.3×	130 0.8×	123 0.7×	293 1.8×	206 1.4×	96	1.0k
Jiliu Zhou China	22	349 1.2×	374 2.2×	92 0.5×	1.1k 6.8×	55 0.4×	54	2.2k
Guoyu Wang China	16	114 0.4×	35 0.2×	278 1.6×	370 2.3×	98 0.7×	106	901
Yonggang Lu China	16	269 0.9×	154 0.9×	33 0.2×	450 2.8×	42 0.3×	73	1.1k
Jayanta Mukherjee India	22	178 0.6×	52 0.3×	76 0.4×	1.1k 6.9×	140 0.9×	144	1.7k
Linbo Qing China	21	330 1.1×	82 0.5×	34 0.2×	989 6.1×	87 0.6×	139	1.7k

Countries citing papers authored by Ting Yang

Since Specialization

Citations

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

Fields of papers citing papers by Ting Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Yang

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

Wu, Qiang, et al.. (2025). The Role of Virtual Reality on Parkinson’s Disease Management: A Bibliometric and Content Analysis. Sensors. 25(5). 1432–1432. 1 indexed citations

Zhao, Ruifeng, et al.. (2024). Text classification for distribution substation inspection based on BERT-TextRCNN model. Frontiers in Energy Research. 12. 1 indexed citations

Yang, Ting, et al.. (2024). Enhanced Resolution Method for Electromagnetic Vortex Imaging Based on Electromagnetic Information Theory. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 7 indexed citations

Yang, Ting. (2024). Impact of Artificial Intelligence Software on English Learning Motivation and Achievement. SHILAP Revista de lepidopterología. 193. 2011–2011. 11 indexed citations

Yang, Ting. (2024). A Learning Measurement Model for English Comprehensive Ability Based on the Background of Educational Informatization. International Journal of Web-Based Learning and Teaching Technologies. 19(1). 1–14.

Yang, Ting, et al.. (2024). A Fast and High-Resolution Imaging Method for Electromagnetic Vortex Radar Using Uniform Concentric Circular Arrays. IEEE Transactions on Microwave Theory and Techniques. 73(5). 3004–3015. 2 indexed citations

Zhang, Hao, Pan Xia, Changyu Liu, et al.. (2023). mmSignature: Semi-supervised human identification system based on millimeter wave radar. Engineering Applications of Artificial Intelligence. 126. 106939–106939. 9 indexed citations

Yang, Ting, et al.. (2022). 3D Sparse ISAR Imaging With Multiple Plane Spiral OAM Electromagnetic Waves. IEEE Sensors Journal. 22(15). 15082–15097. 13 indexed citations

Hong, Zhonghua, Ting Yang, Xiaohua Tong, et al.. (2021). Multi-Scale Ship Detection From SAR and Optical Imagery Via A More Accurate YOLOv3. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 6083–6101. 107 indexed citations

10.

Yang, Ting, et al.. (2021). Super-resolution performance studies for orbital-angular-momentum-based imaging radar. International Journal of Remote Sensing. 42(21). 8185–8206. 7 indexed citations

11.

Yang, Ting, et al.. (2021). ISAR Imaging Algorithm for Maneuvering Targets Based on Fourier Ptychographic Microscopy. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 6 indexed citations

12.

Kumar, Rajesh, et al.. (2020). Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging. arXiv (Cornell University). 337 indexed citations

13.

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

14.

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

15.

Yang, Ting, et al.. (2018). Multi exposure image fusion algorithm based on YCbCr space. IOP Conference Series Materials Science and Engineering. 359. 12002–12002. 1 indexed citations

16.

Chen, Xiuwan, et al.. (2017). Change Detection Method for High Resolution Remote Sensing Images Using Deep Learning. SHILAP Revista de lepidopterología. 14 indexed citations

17.

Yang, Ting, Xiaoling Ji, & Xiaoqing Li. (2015). Propagation characteristics of partially coherent decentred annular beams propagating through oceanic turbulence. Acta Physica Sinica. 64(20). 204206–204206. 8 indexed citations

18.

Wang, Zhaoxia, et al.. (2011). Image Inpainting Method based on Evolutionary Algorithm. International Journal of Digital Content Technology and its Applications. 5(4). 187–193. 5 indexed citations

19.

Yang, Ting. (2010). Optimized fast multi-scalar multiplication algorithm based on MBNS. Journal of Communications.

20.

Yang, Ting. (2008). Preparation and Construction Method of Desulphogypsum Vitrified Microsphere Thermal Insulation Mortar. Building Science.

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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