Xianghong Tang

600 total citations
31 papers, 424 citations indexed

About

Xianghong Tang is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xianghong Tang has authored 31 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Control and Systems Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xianghong Tang's work include Machine Fault Diagnosis Techniques (9 papers), Anomaly Detection Techniques and Applications (7 papers) and Fault Detection and Control Systems (6 papers). Xianghong Tang is often cited by papers focused on Machine Fault Diagnosis Techniques (9 papers), Anomaly Detection Techniques and Applications (7 papers) and Fault Detection and Control Systems (6 papers). Xianghong Tang collaborates with scholars based in China, United States and Saudi Arabia. Xianghong Tang's co-authors include Jianguang Lu, Guokai Liu, Shaobo Li, Jianjun Hu, Feiran Huang, Zhoujun Li, Xiaoming Zhang, Qiang He, Qianyun Zhang and Chaozhuo Li and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Xianghong Tang

25 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianghong Tang China 10 241 135 134 77 77 31 424
Al Salour India 12 255 1.1× 125 0.9× 72 0.5× 67 0.9× 54 0.7× 38 413
Xuejin Gao China 13 365 1.5× 199 1.5× 92 0.7× 24 0.3× 59 0.8× 76 503
Liangjun Feng China 7 354 1.5× 162 1.2× 207 1.5× 28 0.4× 35 0.5× 9 491
Qianhui Wu China 7 245 1.0× 95 0.7× 203 1.5× 53 0.7× 49 0.6× 9 513
Gabriel Michau Switzerland 11 292 1.2× 136 1.0× 161 1.2× 25 0.3× 56 0.7× 21 511

Countries citing papers authored by Xianghong Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xianghong Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianghong Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Xianghong Tang. A scholar is included among the top collaborators of Xianghong 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 Xianghong Tang. Xianghong 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.
Tang, Xianghong, et al.. (2025). A novel dynamic graph attention aggregation network for multivariate time series classification. Pattern Recognition. 172. 112732–112732.
2.
Lu, Jianguang, et al.. (2025). Multi-scale feature fusion network with temporal dynamic graphs for small-sample FW-UAV fault diagnosis. Knowledge-Based Systems. 330. 114605–114605.
3.
Cui, Chenhao, Yang Yang, Xianghong Tang, et al.. (2025). Content-Guided Video Captioning With Cross-Modal Transformer for Driving Scenario Understanding. IEEE Transactions on Intelligent Transportation Systems. 1–12.
4.
Li, Guanjun, et al.. (2024). CATodyNet: Cross-attention temporal dynamic graph neural network for multivariate time series classification. Knowledge-Based Systems. 300. 112210–112210. 2 indexed citations
5.
Wang, Hongkui, Yin Chen, Qi Ye, et al.. (2024). JND-based multi-module cooperative perceptual optimization for HEVC. Displays. 84. 102783–102783. 1 indexed citations
6.
Yang, Jing, et al.. (2024). LVAR-CZSL: Learning Visual Attributes Representation for Compositional Zero-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 13311–13323. 2 indexed citations
7.
Tang, Xianghong, et al.. (2024). An imbalanced learning method based on graph tran-smote for fraud detection. Scientific Reports. 14(1). 16560–16560. 3 indexed citations
8.
Yin, Haibing, et al.. (2024). A no-reference video quality assessment method with bidirectional hierarchical semantic representation. Signal Processing. 230. 109819–109819.
9.
Yin, Haibing, et al.. (2024). Audio–video collaborative JND estimation model for multimedia applications. Journal of Visual Communication and Image Representation. 103. 104254–104254.
10.
Lu, Jianguang, et al.. (2024). Spatial-temporal graph neural ODE networks for skeleton-based action recognition. Scientific Reports. 14(1). 7629–7629. 3 indexed citations
11.
Zhao, Zihao, Xianghong Tang, Jianguang Lu, & Yong Huang. (2024). Lightweight graph neural network architecture search based on heuristic algorithms. International Journal of Machine Learning and Cybernetics. 16(3). 1625–1641. 1 indexed citations
12.
Tang, Xianghong, et al.. (2023). A novel spatio-temporal hybrid neural network for remaining useful life prediction. The Journal of Supercomputing. 79(17). 19095–19117. 3 indexed citations
13.
Zhang, Jun, Jianguang Lu, & Xianghong Tang. (2023). Two-stage GNN-based fraud detection with camouflage identification and enhanced semantics aggregation. Neurocomputing. 570. 127108–127108. 6 indexed citations
14.
Tang, Xianghong, et al.. (2023). GDENet: Graph Differential Equation Network for Traffic Flow Prediction. International Journal of Intelligent Systems. 2023(1). 4 indexed citations
15.
Tang, Xianghong, et al.. (2022). Research on the Rapid Diagnostic Method of Rolling Bearing Fault Based on Cloud–Edge Collaboration. Entropy. 24(9). 1277–1277. 4 indexed citations
16.
Tang, Xianghong, et al.. (2021). A single fault detection method of gearbox based on random forest hybrid classifier and improved Dempster-Shafer information fusion. Computers & Electrical Engineering. 92. 107101–107101. 27 indexed citations
17.
Zhang, Xiaoming, Qianyun Zhang, Chaozhuo Li, et al.. (2021). Dual self-attention with co-attention networks for visual question answering. Pattern Recognition. 117. 107956–107956. 49 indexed citations
18.
Tang, Xianghong, et al.. (2020). A Novel Bearing Fault Diagnosis Method Based on GL-mRMR-SVM. Processes. 8(7). 784–784. 15 indexed citations
19.
Lu, Jianguang, et al.. (2019). A Novel Method for Intelligent Single Fault Detection of Bearings Using SAE and Improved D–S Evidence Theory. Entropy. 21(7). 687–687. 9 indexed citations
20.
Li, Shaobo, Guokai Liu, Xianghong Tang, Jianguang Lu, & Jianjun Hu. (2017). An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis. Sensors. 17(8). 1729–1729. 171 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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