Xiang Hu

1.0k total citations · 1 hit paper
44 papers, 736 citations indexed

About

Xiang Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Xiang Hu has authored 44 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 13 papers in Media Technology. Recurrent topics in Xiang Hu's work include Remote-Sensing Image Classification (11 papers), Remote Sensing and Land Use (8 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Xiang Hu is often cited by papers focused on Remote-Sensing Image Classification (11 papers), Remote Sensing and Land Use (8 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Xiang Hu collaborates with scholars based in China, United States and Macao. Xiang Hu's co-authors include Khe Foon Hew, Chen Qiao, Ying Tang, Yuanxi Peng, Shiping Wen, Zhuoling Li, Minghui Dong, Pan Zhou, Zhigang Zeng and Yü Liu and has published in prestigious journals such as Angewandte Chemie International Edition, Scientific Reports and Cement and Concrete Research.

In The Last Decade

Xiang Hu

38 papers receiving 719 citations

Hit Papers

What predicts student satisfaction with MOOCs: A gradient... 2019 2026 2021 2023 2019 50 100 150 200
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.

  1. What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach
    2019 249 citations Khe Foon Hew, Xiang Hu et al. Computers & Education profile →

Peers

Xiang Hu
Yuanyuan Hu China
Shu Zhan China
Christian Ritz Australia
Michihiko Minoh Japan
Imed Bouchrika Algeria
Raja Touahni Morocco
Suzanne Little Ireland
Yang Jiang China
Sunu Wibirama Indonesia
Zi Ye China
Yuanyuan Hu China
Xiang Hu
Citations per year, relative to Xiang Hu Xiang Hu (= 1×) peers Yuanyuan Hu

Countries citing papers authored by Xiang Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Hu. A scholar is included among the top collaborators of Xiang Hu 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 Xiang Hu. Xiang Hu 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.
Hu, Xiang, et al.. (2025). EDTST: Efficient Dynamic Token Selection Transformer for Hyperspectral Image Classification. Remote Sensing. 17(18). 3180–3180.
2.
Wan, Shu, Zhenguo Shi, Hussaini Abdullahi Umar, Xiang Hu, & Caijun Shi. (2025). Property enhancement of recycled concrete aggregate treated by vacuum absorption and direct soaking of silica fume slurry. Cement and Concrete Composites. 165. 106334–106334.
3.
Zhang, Longlong, et al.. (2025). FLQ: Design and implementation of hybrid multi-base full logarithmic quantization neural network acceleration architecture based on FPGA. Signal Processing Image Communication. 134. 117270–117270.
4.
Liao, Xuan, et al.. (2025). A Low-Latency and High-Performance Microwave Photonic AOA and IFM System Based on Deep Learning and FPGA. IEEE Sensors Journal. 25(6). 9934–9945.
5.
Zhang, Longlong, et al.. (2024). A Real-Time Signal Measurement System Using FPGA-Based Deep Learning Accelerators and Microwave Photonic. Remote Sensing. 16(23). 4358–4358.
6.
7.
Hu, Xiang, et al.. (2024). Research on detection method of photovoltaic cell surface dirt based on image processing technology. Scientific Reports. 14(1). 16842–16842. 3 indexed citations
8.
Yang, Lifu, Zhenguo Shi, Kai Li, Xiang Hu, & Caijun Shi. (2024). Expansion of irregularly shaped aggregate induced by alkali-silica reaction: Insights from numerical modeling. Cement and Concrete Research. 187. 107727–107727. 1 indexed citations
9.
Yang, Lifu, Bing‐Lin Lai, Xu Ren, et al.. (2023). Prediction of alkali-silica reaction expansion of concrete using artificial neural networks. Cement and Concrete Composites. 140. 105073–105073. 28 indexed citations
10.
Hu, Xiang, et al.. (2023). A new Voronoi diagram-based approach for matching multi-scale road networks. Journal of Geographical Systems. 25(2). 265–289. 3 indexed citations
11.
Liao, Xuan, Tong Zhou, Longlong Zhang, Xiang Hu, & Yuanxi Peng. (2023). A Method for Calculating the Derivative of Activation Functions Based on Piecewise Linear Approximation. Electronics. 12(2). 267–267. 4 indexed citations
12.
Liao, Xuan, et al.. (2023). FPGA Implementation of a Higher SFDR Upper DDFS Based on Non-Uniform Piecewise Linear Approximation. Applied Sciences. 13(19). 10819–10819. 5 indexed citations
13.
Zhang, Longlong, et al.. (2022). FPGA-Based BNN Architecture in Time Domain with Low Storage and Power Consumption. Electronics. 11(9). 1421–1421. 7 indexed citations
14.
Hu, Xiang, et al.. (2021). Deep Spatial-Spectral Subspace Clustering for Hyperspectral Images Based on Contrastive Learning. Remote Sensing. 13(21). 4418–4418. 27 indexed citations
15.
Wen, Hao, Xiang Hu, & Yuanxi Peng. (2021). Self-supervised Domain Adaptation for Satellite Imagery Classification via Representation Learning. 464–469. 1 indexed citations
16.
Wang, Chunzhi, et al.. (2020). The Parallelization and Optimization of K-means Algorithm Based on Spark. 8. 457–462. 4 indexed citations
17.
Hew, Khe Foon, Xiang Hu, Chen Qiao, & Ying Tang. (2019). What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach. Computers & Education. 145. 103724–103724. 249 indexed citations breakdown →
18.
19.
Shen, Liang, Yan Luo, Zhijun Lü, et al.. (2014). Cost-effectiveness of different regimens of anesthesia for day surgery in China.. PubMed. 7(12). 5744–50. 2 indexed citations
20.
Ye, Xiaofeng, Xiang Hu, Haozhe Wang, Jun Liu, & Qiang Zhao. (2011). Polyelectrolyte multilayer film on decellularized porcine aortic valve can reduce the adhesion of blood cells without affecting the growth of human circulating progenitor cells. Acta Biomaterialia. 8(3). 1057–1067. 41 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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