Ke Yang

2.2k total citations · 1 hit paper
79 papers, 1.3k citations indexed

About

Ke Yang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Ke Yang has authored 79 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 16 papers in Electrical and Electronic Engineering and 14 papers in Artificial Intelligence. Recurrent topics in Ke Yang's work include Solid State Laser Technologies (11 papers), Human Pose and Action Recognition (8 papers) and Remote Sensing and LiDAR Applications (8 papers). Ke Yang is often cited by papers focused on Solid State Laser Technologies (11 papers), Human Pose and Action Recognition (8 papers) and Remote Sensing and LiDAR Applications (8 papers). Ke Yang collaborates with scholars based in China, Canada and Taiwan. Ke Yang's co-authors include Yong Dou, Dongsheng Li, Yong Cheng, Chunyan Ji, Kai Niu, Sixian Wang, Jincheng Dai, Ping Zhang, Jonathan Li and Shaohe Lv and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Optics Letters.

In The Last Decade

Ke Yang

70 papers receiving 1.2k citations

Hit Papers

WITT: A Wireless Image Transmission Transformer for Seman... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke Yang China 20 486 319 219 195 140 79 1.3k
Ying Zhu China 23 651 1.3× 210 0.7× 227 1.0× 283 1.5× 396 2.8× 134 1.8k
Weidong Hu China 18 319 0.7× 242 0.8× 304 1.4× 97 0.5× 326 2.3× 121 1.4k
Yang-Lang Chang Taiwan 21 429 0.9× 221 0.7× 250 1.1× 98 0.5× 430 3.1× 96 1.5k
Klamer Schutte Netherlands 20 830 1.7× 244 0.8× 104 0.5× 177 0.9× 254 1.8× 140 1.4k
Min Zhang China 26 461 0.9× 370 1.2× 542 2.5× 217 1.1× 362 2.6× 181 2.3k
Yiming Pi China 22 371 0.8× 258 0.8× 394 1.8× 212 1.1× 208 1.5× 177 1.8k
Bo Peng China 22 748 1.5× 332 1.0× 118 0.5× 155 0.8× 222 1.6× 147 1.7k
Gong Zhang China 24 364 0.7× 304 1.0× 355 1.6× 156 0.8× 317 2.3× 230 2.2k
Changhui Jiang China 23 268 0.6× 291 0.9× 605 2.8× 222 1.1× 117 0.8× 94 1.7k

Countries citing papers authored by Ke Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ke Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Yang. A scholar is included among the top collaborators of Ke 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 Ke Yang. Ke 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, Ke, Sixian Wang, Jincheng Dai, et al.. (2024). SwinJSCC: Taming Swin Transformer for Deep Joint Source-Channel Coding. IEEE Transactions on Cognitive Communications and Networking. 11(1). 90–104. 38 indexed citations
3.
Yang, Ke, Zhengpeng Wang, Xiaoming Chen, Tian Hong Loh, & Steven Gao. (2024). Enhancing Aperture Efficiency of Single Parabolic Cylindrical Compact Range Based on a Linear Array Excitation Method. IEEE Transactions on Antennas and Propagation. 73(4). 2135–2146. 2 indexed citations
4.
Shen, Li, Yun Fu, Xuemin Li, et al.. (2024). Olanzapine Induces Adipogenesis and Glucose Uptake by Activating Glycolysis and Synergizing with the PI3K-AKT Pathway. Current Neuropharmacology. 23(4). 412–425. 3 indexed citations
5.
Zhang, Lianfu, et al.. (2024). Application of lubrication theory to determine yield stress in slump tests. Powder Technology. 444. 120081–120081.
6.
Chen, Jun Song, et al.. (2023). SMFE-Net: a saliency multi-feature extraction framework for VHR remote sensing image classification. Multimedia Tools and Applications. 83(2). 3831–3854.
7.
Zhou, Zhou, Gang Yao, Guangyi Huang, et al.. (2023). Application of the suture needle retrograde threading method in scleral fixation of intraocular lenses. BMC Ophthalmology. 23(1). 516–516.
8.
Yang, Ke, et al.. (2023). Strength modeling and experimental study of coal pillar-artificial dam combination after wetting cycles. Journal of Materials Research and Technology. 25. 3050–3060. 8 indexed citations
9.
Yang, Ke, et al.. (2022). ConvPatchTrans: A script identification network with global and local semantics deeply integrated. Engineering Applications of Artificial Intelligence. 113. 104916–104916. 24 indexed citations
10.
Yang, Ke, et al.. (2021). ConDinet++: Full-Scale Fusion Network Based on Conditional Dilated Convolution to Extract Roads From Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 36 indexed citations
11.
He, Hongjie, Ke Yang, Shusen Wang, et al.. (2021). Deep Learning Approaches to Spatial Downscaling of GRACE Terrestrial Water Storage Products Using EALCO Model Over Canada. Canadian Journal of Remote Sensing. 47(4). 657–675. 16 indexed citations
12.
Luo, Yang, Lijun Zhang, Dawei Yin, Dezhong Peng, & Ke Yang. (2021). Improving Distant Supervised Relation Extraction using shortest dependency path. Journal of Physics Conference Series. 2010(1). 12038–12038. 1 indexed citations
13.
Sun, Yanan, et al.. (2021). Analyze COVID-19 CT images based on evolutionary algorithm with dynamic searching space. Complex & Intelligent Systems. 7(6). 3195–3209. 6 indexed citations
14.
Liu, Gaoyou, Ke Yang, Yi Chen, et al.. (2020). 11.6 W middle infrared ZnGeP 2 optical parametric amplifier system with a 1 kHz repetition rate. Laser Physics. 30(9). 95001–95001. 3 indexed citations
15.
Niu, Xin, et al.. (2020). Learning ship width and direction by convolutional neural networks without manual labelling. Remote Sensing Letters. 11(4). 323–332. 1 indexed citations
16.
Mi, Shuyi, Yi Chen, Gaoyou Liu, et al.. (2020). Measurement of optical homogeneity of ZnGeP2 crystal using a 2.02 µm single-longitudinal-mode Tm:LuAG ring laser. Applied Optics. 59(19). 5864–5864. 5 indexed citations
18.
Yang, Ke, Peng Qiao, Dongsheng Li, Shaohe Lv, & Yong Dou. (2017). TPC: Temporal Preservation Convolutional Networks for Precise Temporal Action Localization.. arXiv (Cornell University). 1 indexed citations
19.
Yang, Ke, et al.. (2012). ROSAR imaging algorithm based on frequency analysis. Beijing Hangkong Hangtian Daxue xuebao. 1189. 1 indexed citations
20.
Ecker, Wolfgang, et al.. (2000). VXML: VHDL Hardware Design Representation in XML.. 129–140. 1 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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