T. Xue

683 total citations
3 papers, 2 citations indexed

About

T. Xue is a scholar working on Information Systems, Civil and Structural Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, T. Xue has authored 3 papers receiving a total of 2 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 1 paper in Civil and Structural Engineering and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in T. Xue's work include Complex Network Analysis Techniques (1 paper), Advanced Graph Neural Networks (1 paper) and Fire Detection and Safety Systems (1 paper). T. Xue is often cited by papers focused on Complex Network Analysis Techniques (1 paper), Advanced Graph Neural Networks (1 paper) and Fire Detection and Safety Systems (1 paper). T. Xue collaborates with scholars based in China and Canada. T. Xue's co-authors include Ye Tian, Hsin‐Te Wu, Jian Shi, Bo Yang, Yanbin Wang, Liangliang Zhou, Jinsong Bao and Yiwei Liu and has published in prestigious journals such as Engineering Applications of Artificial Intelligence and Multimedia Systems.

In The Last Decade

T. Xue

1 paper receiving 2 citations

Peers — A (Enhanced Table)

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

Name	h					Papers	Cites
T. Xue China	1	1	1	1	1	3	2
Z. Hu China	2		1 1.0×	1 1.0×	1 1.0×	3	5
J. X. Song China	2			1 1.0×	1 1.0×	3	2
Atsbeha Gebreegziabxier Weldemariam Ethiopia	2					3	2
B. W. Shen China	1			1 1.0×		3	2
H. Lan China	2				1 1.0×	3	3
L. Ding China	2					3	4
S. Hu China	1					6	2
R. Linehan United States	2					3	3
Qorinah Estiningtyas Sakilah Adnani Indonesia	2					3	2

Countries citing papers authored by T. Xue

Since Specialization

Citations

This map shows the geographic impact of T. Xue'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 T. Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Xue more than expected).

Fields of papers citing papers by T. Xue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Xue

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

All Works

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3 of 3 papers shown

1.

Wang, Yanbin, et al.. (2025). The role of transformer models in advancing blockchain technology: A systematic survey. Engineering Applications of Artificial Intelligence. 163. 112968–112968.

2.

Wu, Hsin‐Te, et al.. (2025). LPS-IRM: A Novel Denoising Method for Leakage Detection in Fresh Air Ducts Under Low-SNR Conditions. 1021–1028.

3.

Yang, Bo, et al.. (2024). Contrastive graph clustering via enhanced hard sample mining and cluster-guiding. Multimedia Systems. 30(6). 2 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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