Xiang Tan

549 total citations
15 papers, 388 citations indexed

About

Xiang Tan is a scholar working on Ecology, Computer Networks and Communications and Media Technology. According to data from OpenAlex, Xiang Tan has authored 15 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ecology, 4 papers in Computer Networks and Communications and 4 papers in Media Technology. Recurrent topics in Xiang Tan's work include Remote Sensing in Agriculture (4 papers), Remote-Sensing Image Classification (4 papers) and Cognitive Radio Networks and Spectrum Sensing (2 papers). Xiang Tan is often cited by papers focused on Remote Sensing in Agriculture (4 papers), Remote-Sensing Image Classification (4 papers) and Cognitive Radio Networks and Spectrum Sensing (2 papers). Xiang Tan collaborates with scholars based in China, New Zealand and Canada. Xiang Tan's co-authors include Yuli Sun, Lin Lei, Gangyao Kuang, Xiao Li, Junzheng Wu, Jibo Wei, Dongdong Guan, Li Zhou, Haitao Zhao and Boon‐Chong Seet and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Xiang Tan

14 papers receiving 378 citations

Peers

Xiang Tan
Xiang Tan
Citations per year, relative to Xiang Tan Xiang Tan (= 1×) peers Gabriel Dauphin

Countries citing papers authored by Xiang Tan

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Tan

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

All Works

15 of 15 papers shown
1.
Qian, Zhengming, et al.. (2025). Warming degrades nutritional quality of periphyton in stream ecosystems: evidence from a mesocosm experiment. ISME Communications. 5(1). ycaf051–ycaf051. 1 indexed citations
2.
Guo, Peng, et al.. (2023). A transformer with layer-cross decoding for remaining useful life prediction. The Journal of Supercomputing. 79(10). 11558–11584. 12 indexed citations
3.
Xu, Chenchen, et al.. (2023). Preliminary Concept of Urban Air Mobility Traffic Rules. Drones. 7(1). 54–54. 15 indexed citations
4.
Zhou, Li, et al.. (2022). A 3D REM‐Guided UAV Path Planning Method under Communication Connectivity Constraints. Wireless Communications and Mobile Computing. 2022(1). 5 indexed citations
5.
Sun, Yuli, Lin Lei, Xiang Tan, et al.. (2022). Structured graph based image regression for unsupervised multimodal change detection. ISPRS Journal of Photogrammetry and Remote Sensing. 185. 16–31. 60 indexed citations
6.
Liao, Xiaohan, Huping Ye, Huanyin Yue, et al.. (2022). UAV Swarm Scheduling Method for Remote Sensing Observations during Emergency Scenarios. Remote Sensing. 14(6). 1406–1406. 21 indexed citations
7.
Tan, Xiang, Li Zhou, Haijun Wang, et al.. (2022). Cooperative Multi-Agent Reinforcement-Learning-Based Distributed Dynamic Spectrum Access in Cognitive Radio Networks. IEEE Internet of Things Journal. 9(19). 19477–19488. 64 indexed citations
8.
Zhou, Li, et al.. (2022). Joint Radio Map Construction and Dissemination in MEC Networks: A Deep Reinforcement Learning Approach. Wireless Communications and Mobile Computing. 2022(1). 3 indexed citations
9.
Sun, Yuli, Lin Lei, Xiao Li, Xiang Tan, & Gangyao Kuang. (2021). Structure Consistency-Based Graph for Unsupervised Change Detection With Homogeneous and Heterogeneous Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–21. 113 indexed citations
10.
Wang, Dezhi, Bo Wan, Penghua Qiu, Xiang Tan, & Quanfa Zhang. (2021). Mapping mangrove species using combined UAV-LiDAR and Sentinel-2 data: Feature selection and point density effects. Advances in Space Research. 69(3). 1494–1512. 24 indexed citations
11.
Sun, Yuli, Lin Lei, Xiao Li, Xiang Tan, & Gangyao Kuang. (2020). Patch Similarity Graph Matrix-Based Unsupervised Remote Sensing Change Detection With Homogeneous and Heterogeneous Sensors. IEEE Transactions on Geoscience and Remote Sensing. 59(6). 4841–4861. 52 indexed citations
12.
Zhang, Yue, Li Zhou, Xiang Tan, Qi Tang, & Jibo Wei. (2020). Research on Spectrum Map Dissemination for Data-Driven Cognitive Radio Networks. 748–754. 2 indexed citations
13.
Sun, Yuli, Xiang Tan, Xiao Li, Lin Lei, & Gangyao Kuang. (2019). Sparse optimization problem with s-difference regularization. Signal Processing. 168. 107369–107369. 7 indexed citations
14.
Tan, Xiang, Chang Shu, & Yün Peng. (2014). The Application of Support Vector Machine in Transformer Fault Diagnosis. Advanced materials research. 926-930. 3410–3413. 9 indexed citations
15.

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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