Guangyi Tang

588 total citations
27 papers, 307 citations indexed

About

Guangyi Tang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Guangyi Tang has authored 27 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Aerospace Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Guangyi Tang's work include Robotics and Sensor-Based Localization (7 papers), Advanced Neural Network Applications (5 papers) and Robotic Path Planning Algorithms (5 papers). Guangyi Tang is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Advanced Neural Network Applications (5 papers) and Robotic Path Planning Algorithms (5 papers). Guangyi Tang collaborates with scholars based in China and Canada. Guangyi Tang's co-authors include Jianjun Ni, Weidong Cao, Simon X. Yang, Yang Gu, Pengfei Shi, Pengfei Shi, Yan Chen, Xiaotian Wang, Junyan Tan and Kang Shen and has published in prestigious journals such as IEEE Access, Remote Sensing and IEEE Sensors Journal.

In The Last Decade

Guangyi Tang

23 papers receiving 297 citations

Peers

Guangyi Tang
Muhammad Saqib Australia
Guangyi Tang
Citations per year, relative to Guangyi Tang Guangyi Tang (= 1×) peers Muhammad Saqib

Countries citing papers authored by Guangyi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Guangyi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangyi Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Guangyi Tang. A scholar is included among the top collaborators of Guangyi Tang 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 Guangyi Tang. Guangyi Tang 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.
Ni, Jianjun, et al.. (2025). An Integration Model of Blind Spot Estimation and Traversable Area Detection for Indoor Robots. IEEE Sensors Journal. 25(10). 17850–17866.
3.
4.
Ni, Jianjun, et al.. (2024). An improved cross-domain sequential recommendation model based on intra-domain and inter-domain contrastive learning. Complex & Intelligent Systems. 10(6). 7877–7892. 3 indexed citations
5.
Ni, Jianjun, et al.. (2024). An improved sequential recommendation model based on spatial self-attention mechanism and meta learning. Multimedia Tools and Applications. 83(21). 60003–60025. 2 indexed citations
6.
Ni, Jianjun, Yongchun Wang, Guangyi Tang, Weidong Cao, & Simon X. Yang. (2024). A lightweight GRU-based gesture recognition model for skeleton dynamic graphs. Multimedia Tools and Applications. 83(27). 70545–70570. 5 indexed citations
7.
Ni, Jianjun, et al.. (2024). Improved D3QN with graph augmentation for enhanced multi-UAV cooperative path planning in urban environments. International Journal of Machine Learning and Cybernetics. 16(4). 2315–2333.
8.
Tang, Guangyi, et al.. (2023). A Survey of Object Detection for UAVs Based on Deep Learning. Remote Sensing. 16(1). 149–149. 49 indexed citations
9.
Ni, Jianjun, et al.. (2023). An Improved Visual SLAM Based on Map Point Reliability under Dynamic Environments. Applied Sciences. 13(4). 2712–2712. 6 indexed citations
10.
Ni, Jianjun, et al.. (2023). An Improved Model for Medical Forum Question Classification Based on CNN and BiLSTM. Applied Sciences. 13(15). 8623–8623. 6 indexed citations
11.
Ni, Jianjun, et al.. (2023). An Improved Shared Encoder-Based Model for Fast Panoptic Segmentation. IEEE Sensors Journal. 24(14). 22070–22083. 2 indexed citations
12.
Ni, Jianjun, et al.. (2023). Deep learning-based scene understanding for autonomous robots: a survey. 3(3). 374–401. 17 indexed citations
14.
Ni, Jianjun, et al.. (2022). An Improved Transfer Learning Model for Cyanobacterial Bloom Concentration Prediction. Water. 14(8). 1300–1300. 13 indexed citations
15.
Ni, Jianjun, et al.. (2022). An Improved Attention-based Bidirectional LSTM Model for Cyanobacterial Bloom Prediction. International Journal of Control Automation and Systems. 20(10). 3445–3455. 19 indexed citations
16.
Ni, Jianjun, et al.. (2021). Multi-UAV Hunting Based on Improved Whale Optimization Algorithm. Computer and Modernization. 1. 2 indexed citations
17.
Ni, Jianjun, et al.. (2021). Collaborative Filtering Recommendation Algorithm Based on TF-IDF and User Characteristics. Applied Sciences. 11(20). 9554–9554. 15 indexed citations
18.
Ni, Jianjun, et al.. (2020). An Improved Potential Game Theory Based Method for Multi-UAV Cooperative Search. IEEE Access. 8. 47787–47796. 46 indexed citations
19.
Tang, Guangyi, et al.. (2016). An improved echo cancellation algorithm for hearing aids. 362–369. 1 indexed citations
20.
Gao, Junfeng, Guangyi Tang, & Yao Wang. (2015). An Improved ADSE Algorithm for Dynamic Weighing System. International Journal of Control and Automation. 8(6). 19–26.

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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