Xiaobing Dai

554 total citations · 1 hit paper
22 papers, 452 citations indexed

About

Xiaobing Dai is a scholar working on Media Technology, Aerospace Engineering and Atmospheric Science. According to data from OpenAlex, Xiaobing Dai has authored 22 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Media Technology, 11 papers in Aerospace Engineering and 5 papers in Atmospheric Science. Recurrent topics in Xiaobing Dai's work include Advanced Image Fusion Techniques (12 papers), Remote-Sensing Image Classification (11 papers) and Infrared Target Detection Methodologies (10 papers). Xiaobing Dai is often cited by papers focused on Advanced Image Fusion Techniques (12 papers), Remote-Sensing Image Classification (11 papers) and Infrared Target Detection Methodologies (10 papers). Xiaobing Dai collaborates with scholars based in China and Canada. Xiaobing Dai's co-authors include Yong Ma, Xiaoguang Mei, Jiayi Ma, Fan Fan, Jun Huang, Erting Pan, Qinglei Du, Hong Zheng, Hao Li and Li Liu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and The Journal of Physical Chemistry A.

In The Last Decade

Xiaobing Dai

21 papers receiving 441 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Spectral-Spatial Attention Networks for Hyperspectral Image Classification

2019 233 citations Xiaoguang Mei, Erting Pan et al. Remote Sensing profile →

Peers

Xiaobing Dai

MT

AS

CVPR

AE

BE

Xiaodi Shang China

Ingebjørg Kåsen Norway

Eric Truslow United States

Jianxin Jia China

Jürgen Hahn Germany

Qiang Ling China

Chein‐I Chang United States

Joseph Meola United States

Yifan Sun China

Xiaodi Shang China

Xiaobing Dai

398 ×1.3

MT

200 ×1.1

AS

140 ×1.2

CVPR

72 ×1.3

AE

66 ×1.5

BE

Citations per year, relative to Xiaobing Dai Xiaobing Dai (= 1×) peers Xiaodi Shang

Countries citing papers authored by Xiaobing Dai

Since Specialization

Citations

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

Fields of papers citing papers by Xiaobing Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobing Dai. A scholar is included among the top collaborators of Xiaobing Dai 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 Xiaobing Dai. Xiaobing Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Sun, Chen, et al.. (2025). NOT-156: Night Object Tracking Using Low-Light and Thermal Infrared: From Multimodal Common-Aperture Camera to Benchmark Datasets. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–11.

2.

Dai, Xiaobing, et al.. (2024). Attention-Based Progressive Discrimination Generative Adversarial Networks for Polarimetric Image Demosaicing. IEEE Transactions on Computational Imaging. 10. 713–725. 4 indexed citations

3.

Dai, Xiaobing, et al.. (2023). Improved Generalized IHS Based on Total Variation for Pansharpening. Remote Sensing. 15(11). 2945–2945. 5 indexed citations

4.

Dai, Xiaobing, et al.. (2022). Joint principal component analysis and total variation for infrared and visible image fusion. Infrared Physics & Technology. 128. 104523–104523. 9 indexed citations

5.

Ma, Yong, et al.. (2020). Locality-constrained sparse representation for hyperspectral image classification. Information Sciences. 546. 858–870. 32 indexed citations

6.

Wu, Minghui, Yong Ma, Jun Huang, Fan Fan, & Xiaobing Dai. (2020). A new patch-based two-scale decomposition for infrared and visible image fusion. Infrared Physics & Technology. 110. 103362–103362. 6 indexed citations

7.

Ma, Yong, Xiaoguang Mei, Chengyin Liu, et al.. (2019). Visible/Infrared Combined 3D Reconstruction Scheme Based on Nonrigid Registration of Multi-Modality Images With Mixed Features. IEEE Access. 7. 19199–19211. 13 indexed citations

8.

Mei, Xiaoguang, Erting Pan, Yong Ma, et al.. (2019). Spectral-Spatial Attention Networks for Hyperspectral Image Classification. Remote Sensing. 11(8). 963–963. 233 indexed citations breakdown →

9.

Ma, Yong, et al.. (2019). Multifeature-Based Discriminative Label Consistent K-SVD for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(12). 4995–5008. 16 indexed citations

10.

Pan, Erting, Yong Ma, Xiaoguang Mei, et al.. (2019). Spectral-Spatial Classification of Hyperspectral Image based on a Joint Attention Network. 413–416. 14 indexed citations

11.

Pan, Erting, Yong Ma, Xiaobing Dai, et al.. (2019). GRU with Spatial Prior for Hyperspectral Image Classification. 7 indexed citations

12.

Ma, Yong, Xiaoguang Mei, Xiaobing Dai, et al.. (2019). Gaussian Mixture Model for Hyperspectral Unmixing with Low-Rank Representation. 294–297. 14 indexed citations

13.

Liu, Li, Luxin Yan, Hui Zhao, Xiaobing Dai, & Tianxu Zhang. (2016). Correction of aeroheating-induced intensity nonuniformity in infrared images. Infrared Physics & Technology. 76. 235–241. 16 indexed citations

14.

Dai, Xiaobing, Xiangyan Liu, Li Liu, Bin Zhu, & Zheng Fang. (2015). A novel image-guided FT-IR sensor using chalcogenide glass optical fibers for the detection of combustion gases. Sensors and Actuators B Chemical. 220. 414–419. 19 indexed citations

15.

Dai, Xiaobing, Xiangyan Liu, & Li Liu. (2015). Development and testing of an image-guided FT-IR instrument for field spectroscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9611. 961119–961119. 2 indexed citations

16.

Liu, Xiangyan, Zheng Fang, Xiaobing Dai, Xudong He, & Pengcheng Gao. (2014). An Infrared Scanning and Tracking System for Detecting Mid-Wave Infrared Spectral Characteristics of Moving Targets. Applied Spectroscopy. 68(11). 1289–1295. 7 indexed citations

17.

Liu, Li, et al.. (2014). Influence of aero-optical transmission on infrared imaging optical system in the supersonic flight. Infrared Physics & Technology. 68. 110–118. 15 indexed citations

18.

Dai, Xiaobing, Xiangyan Liu, Pengcheng Gao, & Xudong He. (2013). Study of radiometric calibration methods on a compact novel imaging guided FTIR spectrometer. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8921. 89210C–89210C. 1 indexed citations

19.

Liu, Li, et al.. (2013). Analysis and modeling of aerothermal radiation based on experimental data. Infrared Physics & Technology. 62. 18–28. 8 indexed citations

20.

Joly, Helen A., et al.. (2006). An EPR Study of the C−O Bond Activation of 1,2-Epoxybutane by Ground-State Al Atoms. The Journal of Physical Chemistry A. 110(17). 5656–5664. 7 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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