Xiaohui Huang

2.9k total citations · 2 hit papers
104 papers, 2.0k citations indexed

About

Xiaohui Huang is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Xiaohui Huang has authored 104 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Control and Systems Engineering, 30 papers in Computer Vision and Pattern Recognition and 30 papers in Artificial Intelligence. Recurrent topics in Xiaohui Huang's work include Traffic Prediction and Management Techniques (25 papers), Traffic control and management (23 papers) and Transportation Planning and Optimization (18 papers). Xiaohui Huang is often cited by papers focused on Traffic Prediction and Management Techniques (25 papers), Traffic control and management (23 papers) and Transportation Planning and Optimization (18 papers). Xiaohui Huang collaborates with scholars based in China, United States and Macao. Xiaohui Huang's co-authors include Yunming Ye, Xiaofei Yang, Raymond Y.K. Lau, Xutao Li, Xiaofeng Zhang, Liyan Xiong, Haijun Zhang, Anand Rangarajan, Sanjay Ranka and Pan He and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xiaohui Huang

93 papers receiving 1.9k citations

Hit Papers

Hyperspectral Image Classification With Deep Learning Models 2018 2026 2020 2023 2018 2023 100 200 300 400
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. Hyperspectral Image Classification With Deep Learning Models
    2018 408 citations Xiaofei Yang, Yunming Ye et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  2. A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities
    2023 140 citations Xiaohui Huang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohui Huang China 20 536 512 426 297 255 104 2.0k
Xiaofei Yang China 18 794 1.5× 216 0.4× 410 1.0× 402 1.4× 107 0.4× 98 1.8k
Jingwen Yan China 23 721 1.3× 162 0.3× 683 1.6× 71 0.2× 191 0.7× 112 1.9k
Qian Zhang China 28 1.0k 1.9× 485 0.9× 1.6k 3.7× 399 1.3× 63 0.2× 175 3.8k
Imed Riadh Farah Tunisia 22 548 1.0× 300 0.6× 341 0.8× 393 1.3× 53 0.2× 137 2.1k
Pierre Gançarski France 17 324 0.6× 569 1.1× 341 0.8× 218 0.7× 43 0.2× 66 1.9k
Farhad Samadzadegan Iran 27 776 1.4× 242 0.5× 460 1.1× 349 1.2× 57 0.2× 128 1.9k
Xutao Li China 28 793 1.5× 1.1k 2.1× 851 2.0× 720 2.4× 56 0.2× 119 3.1k
Chao Tao China 32 1.7k 3.3× 582 1.1× 1.3k 3.1× 562 1.9× 253 1.0× 92 3.7k
Peng Liu China 29 739 1.4× 477 0.9× 564 1.3× 406 1.4× 50 0.2× 183 2.8k

Countries citing papers authored by Xiaohui Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohui Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Huang. A scholar is included among the top collaborators of Xiaohui Huang 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 Xiaohui Huang. Xiaohui Huang 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.
Huang, Xiaohui, et al.. (2025). Balancing supply and demand for ride-hailing: A preallocation hierarchical reinforcement learning approach. Information Sciences. 718. 122371–122371. 1 indexed citations
2.
Xiong, Liyan, et al.. (2024). CSFNet: A novel counting network based on context features and multi-scale information. Multimedia Systems. 31(1).
3.
4.
Huang, Xiaohui, et al.. (2024). A Multi-Scale Residual Graph Convolution Network with hierarchical attention for predicting traffic flow in urban mobility. Complex & Intelligent Systems. 10(3). 3305–3317. 7 indexed citations
5.
Huang, Xiaohui, et al.. (2024). A coupled generative graph convolution network by capturing dynamic relationship of regional flow for traffic prediction. Cluster Computing. 27(5). 6773–6786. 2 indexed citations
6.
Huang, Xiaohui, et al.. (2024). MSMT-LCL: Multiscale Spatial-Spectral Masked Transformer With Local Contrastive Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 4 indexed citations
7.
Jia, Chunhong, Zhenni Zhu, Yifei Qi, et al.. (2024). Neonicotinoid insecticides and metabolites levels in neonatal first urine from southern China: Exploring links to preterm birth. Journal of Hazardous Materials. 469. 133910–133910. 10 indexed citations
8.
9.
Huang, Xiaohui, et al.. (2023). MD-GCN: A Multi-Scale Temporal Dual Graph Convolution Network for Traffic Flow Prediction. Sensors. 23(2). 841–841. 11 indexed citations
10.
Huang, Xiaohui, et al.. (2023). MAPredRNN: multi-attention predictive RNN for traffic flow prediction by dynamic spatio-temporal data fusion. Applied Intelligence. 53(16). 19372–19383. 15 indexed citations
11.
Huang, Xiaohui, et al.. (2023). SS-TMNet: Spatial–Spectral Transformer Network with Multi-Scale Convolution for Hyperspectral Image Classification. Remote Sensing. 15(5). 1206–1206. 11 indexed citations
12.
Huang, Xiaohui. (2023). The Influence of Digital Economy on the Inflow of Foreign Direct Investment. Frontiers in Business Economics and Management. 11(2). 357–363. 1 indexed citations
13.
Huang, Xiaohui, et al.. (2023). Long Short-Term Fusion Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. Electronics. 12(1). 238–238. 7 indexed citations
14.
Xiong, Liyan, et al.. (2023). Multi-scale attention graph convolutional recurrent network for traffic forecasting. Cluster Computing. 27(3). 3277–3291. 2 indexed citations
15.
Xiong, Liyan, et al.. (2022). CLSTAN: ConvLSTM-Based Spatiotemporal Attention Network for Traffic Flow Forecasting. Mathematical Problems in Engineering. 2022. 1–13. 3 indexed citations
16.
17.
Huang, Xiaohui, et al.. (2021). Robot Navigation in Crowd Based on Dual Social Attention Deep Reinforcement Learning. Mathematical Problems in Engineering. 2021. 1–11. 6 indexed citations
18.
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
19.
Yang, Xiaofei, Xutao Li, Yunming Ye, et al.. (2019). Road Detection via Deep Residual Dense U-Net. 1–7. 24 indexed citations
20.
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 →

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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