Bei Fang

624 total citations
18 papers, 446 citations indexed

About

Bei Fang is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bei Fang has authored 18 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Media Technology, 7 papers in Atmospheric Science and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bei Fang's work include Remote Sensing and Land Use (7 papers), Remote-Sensing Image Classification (7 papers) and Advanced Image Fusion Techniques (6 papers). Bei Fang is often cited by papers focused on Remote Sensing and Land Use (7 papers), Remote-Sensing Image Classification (7 papers) and Advanced Image Fusion Techniques (6 papers). Bei Fang collaborates with scholars based in China, Belgium and Australia. Bei Fang's co-authors include Ying Li, Haokui Zhang, Jonathan Cheung-Wai Chan, Ziyun Lu, Zongwen Bai, Yunpeng Bai, Jie Chen, Xizhe Xue, Zhiyi Liu and Xian Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Sensors.

In The Last Decade

Bei Fang

18 papers receiving 440 citations

Peers

Bei Fang
Yuwen Huang China
Shuguo Jiang China
Suvojit Manna India
Yao Yang China
Sidrah Shabbir Pakistan
Lei Pan China
Yuwen Huang China
Bei Fang
Citations per year, relative to Bei Fang Bei Fang (= 1×) peers Yuwen Huang

Countries citing papers authored by Bei Fang

Since Specialization
Citations

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

Fields of papers citing papers by Bei Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Fang

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

All Works

18 of 18 papers shown
1.
2.
Fang, Bei, et al.. (2024). CSI-F: A Human Motion Recognition Method Based on Channel-State-Information Signal Feature Fusion. Sensors. 24(3). 862–862. 1 indexed citations
3.
Fang, Bei, et al.. (2024). Advancing the In-Class Dialogic Quality: Developing an Artificial Intelligence-Supported Framework for Classroom Dialogue Analysis. The Asia-Pacific Education Researcher. 34(1). 495–509. 4 indexed citations
4.
Fang, Bei, et al.. (2023). Expression-Guided Deep Joint Learning for Facial Expression Recognition. Sensors. 23(16). 7148–7148. 2 indexed citations
5.
Fang, Bei, et al.. (2023). Rethinking Pseudo-Labeling for Semi-Supervised Facial Expression Recognition With Contrastive Self-Supervised Learning. IEEE Access. 11. 45547–45558. 17 indexed citations
6.
Wang, Ruiqi, et al.. (2023). Fine-grained aspect-based opinion mining on online course reviews for feedback analysis. Interactive Learning Environments. 32(8). 4380–4395. 1 indexed citations
7.
Fang, Bei, et al.. (2023). Facial Expression Recognition in Educational Research From the Perspective of Machine Learning: A Systematic Review. IEEE Access. 11. 112060–112074. 5 indexed citations
8.
Fang, Bei, et al.. (2022). Hyperspectral Image Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning. Remote Sensing. 14(7). 1711–1711. 16 indexed citations
9.
Tian, Xin, et al.. (2022). Bi-LSTM-attention Based on ACNN Model for Disfluency Detection. Journal of Physics Conference Series. 2303(1). 12018–12018. 2 indexed citations
10.
Fang, Bei, et al.. (2022). Ghost-based Convolutional Neural Network for Effective Facial Expression Recognition. 121–124. 3 indexed citations
11.
Xue, Xizhe, Haokui Zhang, Bei Fang, Zongwen Bai, & Ying Li. (2022). Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 31 indexed citations
12.
Fang, Bei, et al.. (2022). A systematic review for MOOC dropout prediction from the perspective of machine learning. Interactive Learning Environments. 1–14. 11 indexed citations
13.
Tang, Fang, Ziyun Lu, Jie Chen, et al.. (2021). Remimazolam benzenesulfonate anesthesia effectiveness in cardiac surgery patients under general anesthesia. World Journal of Clinical Cases. 9(34). 10595–10603. 48 indexed citations
14.
Fang, Bei, Yunpeng Bai, & Ying Li. (2020). Combining Spectral Unmixing and 3D/2D Dense Networks with Early-Exiting Strategy for Hyperspectral Image Classification. Remote Sensing. 12(5). 779–779. 18 indexed citations
15.
Fang, Bei, Ying Li, Haokui Zhang, & Jonathan Cheung-Wai Chan. (2020). Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples. ISPRS Journal of Photogrammetry and Remote Sensing. 161. 164–178. 88 indexed citations
16.
Fang, Bei, Ying Li, Haokui Zhang, & Jonathan Cheung-Wai Chan. (2019). Hyperspectral Images Classification Based on Dense Convolutional Networks with Spectral-Wise Attention Mechanism. Remote Sensing. 11(2). 159–159. 147 indexed citations
17.
Fang, Bei, Ying Li, Haokui Zhang, & Jonathan Cheung-Wai Chan. (2018). Semi-Supervised Deep Learning Classification for Hyperspectral Image Based on Dual-Strategy Sample Selection. Remote Sensing. 10(4). 574–574. 45 indexed citations
18.
Fang, Bei, et al.. (2014). Kernel sparse NMF for hyperspectral unmixing. 41–44. 5 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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2026