Xiaofei Yang

2.5k total citations · 2 hit papers
98 papers, 1.8k citations indexed

About

Xiaofei Yang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Xiaofei Yang has authored 98 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Media Technology, 25 papers in Computer Vision and Pattern Recognition and 21 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Xiaofei Yang's work include Remote-Sensing Image Classification (21 papers), Magnetic properties of thin films (18 papers) and Advanced Image Fusion Techniques (10 papers). Xiaofei Yang is often cited by papers focused on Remote-Sensing Image Classification (21 papers), Magnetic properties of thin films (18 papers) and Advanced Image Fusion Techniques (10 papers). Xiaofei Yang collaborates with scholars based in China, Macao and United States. Xiaofei Yang's co-authors include Xiaohui Huang, Yunming Ye, Xiaofeng Zhang, Xutao Li, Raymond Y.K. Lau, Weijia Cao, Yicong Zhou, Yao Lu, Liyan Xiong and Shijian Lu and has published in prestigious journals such as Applied Physics Letters, Nature Methods and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xiaofei Yang

90 papers receiving 1.7k citations

Hit Papers

Hyperspectral Image Classification With Deep Learning Models 2018 2026 2020 2023 2018 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaofei Yang China 18 794 410 402 216 201 98 1.8k
Yang-Lang Chang Taiwan 21 430 0.5× 429 1.0× 280 0.7× 221 1.0× 60 0.3× 96 1.5k
Zhili Zhang China 21 762 1.0× 526 1.3× 309 0.8× 263 1.2× 82 0.4× 78 2.0k
Ying Zhu China 23 396 0.5× 651 1.6× 78 0.2× 210 1.0× 75 0.4× 134 1.8k
Gholamreza Akbarizadeh Iran 30 563 0.7× 855 2.1× 144 0.4× 301 1.4× 150 0.7× 76 2.6k
Rong Liu China 19 493 0.6× 362 0.9× 253 0.6× 134 0.6× 104 0.5× 78 1.4k
Bo Ren China 26 235 0.3× 295 0.7× 100 0.2× 195 0.9× 126 0.6× 157 1.9k
Miguel Vélez-Reyes Puerto Rico 22 613 0.8× 242 0.6× 318 0.8× 155 0.7× 69 0.3× 178 1.8k
Lizhi Wang China 27 786 1.0× 1.2k 3.0× 66 0.2× 110 0.5× 44 0.2× 134 2.8k
Jin Zhao China 22 411 0.5× 484 1.2× 93 0.2× 182 0.8× 114 0.6× 74 1.6k
Weidong Hu China 18 326 0.4× 319 0.8× 164 0.4× 242 1.1× 43 0.2× 121 1.4k

Countries citing papers authored by Xiaofei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofei Yang. A scholar is included among the top collaborators of Xiaofei 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 Xiaofei Yang. Xiaofei 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
1.
Xu, Tun, et al.. (2026). Highly accurate ab initio gene annotation with ANNEVO. Nature Methods.
2.
Li, Hongyi, et al.. (2025). Global–local prototype-based few-shot learning for cross-domain hyperspectral image classification. Knowledge-Based Systems. 314. 113199–113199. 3 indexed citations
3.
Yang, Xiaofei, et al.. (2024). QTU-Net: Quaternion Transformer-Based U-Net for Water Body Extraction of RGB Satellite Image. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 4 indexed citations
4.
Lu, Kunfeng, et al.. (2024). Adaptive robust integrated guidance and control for thrust-vector-controlled aircraft by solving LQR online. Journal of the Franklin Institute. 361(18). 107307–107307. 1 indexed citations
5.
Yang, Xiaofei, et al.. (2024). 3D Question Answering for City Scene Understanding. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2156–2165. 1 indexed citations
6.
Guo, Zhe, Yan Xu, Ruofan Li, et al.. (2024). Nanoscale Vector Magnetic Sensing with Current‐Driven Stochastic Nanomagnet. Advanced Electronic Materials. 10(4). 4 indexed citations
7.
Luo, Chen, Shanshan Feng, Xiaofei Yang, et al.. (2022). LWCDnet: A Lightweight Network for Efficient Cloud Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 26 indexed citations
8.
Luo, Linhao, et al.. (2022). DCRS: a deep contrast reciprocal recommender system to simultaneously capture user interest and attractiveness for online dating. Neural Computing and Applications. 34(8). 6413–6425. 1 indexed citations
9.
Cao, Zhen, Shuai Zhang, Jian Zhang, et al.. (2021). Reconfigurable Physical Unclonable Function Based on Spin-Orbit Torque Induced Chiral Domain Wall Motion. IEEE Electron Device Letters. 42(4). 597–600. 12 indexed citations
10.
Luo, Shijiang, Wei‐Cheng Tian, Shuai Zhang, et al.. (2021). Integrator based on current-controlled magnetic domain wall. Applied Physics Letters. 118(5). 2 indexed citations
11.
Li, Ruofan, Shuai Zhang, Shijiang Luo, et al.. (2021). A spin–orbit torque device for sensing three-dimensional magnetic fields. Nature Electronics. 4(3). 179–184. 46 indexed citations
12.
Yu, Ziyang, Zhongming Zeng, Shiheng Liang, et al.. (2020). Voltage-controlled skyrmion-based nanodevices for neuromorphic computing using a synthetic antiferromagnet. Nanoscale Advances. 2(3). 1309–1317. 40 indexed citations
13.
Yang, Xiaofei, Xutao Li, Yunming Ye, et al.. (2019). Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net. IEEE Transactions on Geoscience and Remote Sensing. 57(9). 7209–7220. 174 indexed citations
14.
Yang, Xiaofei, Yunming Ye, Xutao Li, et al.. (2018). Hyperspectral Image Classification With Deep Learning Models. IEEE Transactions on Geoscience and Remote Sensing. 56(9). 5408–5423. 408 indexed citations breakdown →
15.
Song, Min, Nuo Xu, Shijiang Luo, et al.. (2018). Novel Cascadable Magnetic Majority Gates for Implementing Comprehensive Logic Functions. IEEE Transactions on Electron Devices. 65(10). 4687–4693. 10 indexed citations
16.
Zhang, Yue, Shijiang Luo, Jun Ouyang, et al.. (2017). Magnetic skyrmions without the skyrmion Hall effect in a magnetic nanotrack with perpendicular anisotropy. Nanoscale. 9(29). 10212–10218. 59 indexed citations
17.
Wang, Bing, Qiao‐Yun Li, & Xiaofei Yang. (2012). Three-point satisfaction-degree model for fuzzy job-shop scheduling problem. 27(7). 1082–1086. 2 indexed citations
18.
Dong, Kaifeng, et al.. (2009). Effect of Ni doping on the microstructure and magnetic properties of FePt films. Rare Metals. 28(3). 257–260. 5 indexed citations
19.
Yang, Xiaofei. (2009). Google Cloud Realize the Show and Mutual Evaluation of Students` E-works. Xiandai jiaoyu jishu. 2 indexed citations
20.
You, Long, et al.. (2004). The influence of annealing on the structural and magnetic properties of C/CoCrPt/CrTi trilayer recording media. Journal of Magnetism and Magnetic Materials. 280(2-3). 419–423. 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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