Xin Hou

906 total citations · 1 hit paper
21 papers, 600 citations indexed

About

Xin Hou is a scholar working on Algebra and Number Theory, Computational Theory and Mathematics and Discrete Mathematics and Combinatorics. According to data from OpenAlex, Xin Hou has authored 21 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Algebra and Number Theory, 6 papers in Computational Theory and Mathematics and 5 papers in Discrete Mathematics and Combinatorics. Recurrent topics in Xin Hou's work include Advanced Topics in Algebra (9 papers), Finite Group Theory Research (5 papers) and Matrix Theory and Algorithms (5 papers). Xin Hou is often cited by papers focused on Advanced Topics in Algebra (9 papers), Finite Group Theory Research (5 papers) and Matrix Theory and Algorithms (5 papers). Xin Hou collaborates with scholars based in China, Türkiye and Jordan. Xin Hou's co-authors include Qian Cheng, S.Z. Li, Shangzhi Li, Lu An, Cheng‐Lin Liu, Lin Chen, Hao Zhang, Jie Yan, Qi Yuan and Jingyuan Zhang and has published in prestigious journals such as Environmental Pollution, Journal of Affective Disorders and Journal of Alzheimer s Disease.

In The Last Decade

Xin Hou

17 papers receiving 571 citations

Hit Papers

align trajectories

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.

Learning spatially localized, parts-based representation

2005 523 citations S.Z. Li, Xin Hou et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xin Hou China	7	426	132	91	84	66	21	600
Giorgio Vassallo Italy	11	135 0.3×	18 0.1×	71 0.8×	52 0.6×	18 0.3×	57	358
Basarab Mateï France	10	180 0.4×	39 0.3×	60 0.7×	119 1.4×	48 0.7×	44	362
Daniel Barsky United States	6	104 0.2×	37 0.3×	172 1.9×	12 0.1×	13 0.2×	14	354
Samir Datta India	19	229 0.5×	237 1.8×	200 2.2×	14 0.2×	49 0.7×	73	848
Nigel Boston United States	14	93 0.2×	49 0.4×	135 1.5×	61 0.7×	4 0.1×	75	535
Laurent Alonso France	10	125 0.3×	14 0.1×	99 1.1×	122 1.5×	10 0.2×	36	471
Bruno Cernuschi-Frías Argentina	9	152 0.4×	32 0.2×	41 0.5×	23 0.3×	25 0.4×	61	275
Alaa M. Abbas Egypt	12	418 1.0×	106 0.8×	170 1.9×	35 0.4×	44 0.7×	36	538
Massimiliano Pavan Italy	5	243 0.6×	76 0.6×	176 1.9×	10 0.1×	40 0.6×	13	432
Jihun Ham United States	6	319 0.7×	68 0.5×	189 2.1×	57 0.7×	64 1.0×	6	538

Countries citing papers authored by Xin Hou

Since Specialization

Citations

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

Fields of papers citing papers by Xin Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Hou

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Hou, Xin, et al.. (2025). Explainable deep learning model with the internet of medical devices for early lung abnormality detection. Engineering Applications of Artificial Intelligence. 153. 110961–110961.

2.

Luo, Xin, et al.. (2025). The gender difference in the comorbidity of chronic pain and depression, a longitudinal study. Journal of Affective Disorders. 392. 120109–120109.

3.

Zhang, Xiaoyu, et al.. (2025). Multiscale applicability assessment of PM2.5 datasets in Chinese urban agglomerations: Accuracy, spatiotemporal variability, and uncertainty. Environmental Pollution. 383. 126810–126810. 2 indexed citations

4.

Hou, Xin, et al.. (2024). Commutators of skew-involutions. Electronic Journal of Linear Algebra. 40. 729–738.

5.

Hou, Xin, et al.. (2023). The Canonical Forms of Permutation Matrices. Symmetry. 15(2). 332–332. 1 indexed citations

6.

Zhang, Jingyuan, Mengyuan Zhang, Chunxiao Li, et al.. (2022). Association of Peak Expiratory Flow with Cognitive Function in the Chinese Middle-Aged and Elderly Population: A 7-Year Longitudinal Study. Journal of Alzheimer s Disease. 89(3). 903–911. 2 indexed citations

7.

Hou, Xin, et al.. (2021). Supervised Cloud Presence Detection in Remote Sensing Image. 2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST). 9. 124–127.

8.

Hou, Xin. (2021). Every real symplectic matrix is a product of commutators of real symplectic involutions. Operators and Matrices. 1489–1504. 2 indexed citations

9.

Hou, Xin. (2021). Decomposition of matrices into commutators of unipotent matrices of index 2. Electronic Journal of Linear Algebra. 37(37). 31–34. 9 indexed citations

10.

Hou, Xin. (2020). Decomposition of symplectic matrices into products of commutators of symplectic involutions. Communications in Algebra. 48(8). 3459–3470. 6 indexed citations

11.

Liu, Xu, Licheng Jiao, Fang Liu, Xin Hou, & Dan Zhang. (2020). Feature Correlation Analysis of Two-Branch Convolutional Networks for Multi-Source Image Classification. 10. 936–939. 1 indexed citations

12.

Hou, Xin. (2020). Products of commutators of symplectic involutions. Linear and Multilinear Algebra. 70(15). 2984–2997. 3 indexed citations

13.

Hou, Xin. (2019). Idempotents in triangular matrix rings. Linear and Multilinear Algebra. 69(2). 296–304. 3 indexed citations

14.

Hou, Xin. (2018). Decomposition of infinite matrices into products of commutators of involutions. Linear Algebra and its Applications. 563. 231–239. 14 indexed citations

15.

Hou, Xin, et al.. (2017). Expressing infinite matrices over rings as products of involutions. Linear Algebra and its Applications. 532. 257–265. 10 indexed citations

16.

Hou, Xin, et al.. (2017). On the decompositions of infinite upper triangular matrices over rings. Linear and Multilinear Algebra. 66(9). 1917–1924. 2 indexed citations

17.

Hou, Xin, et al.. (2011). Color Image Compression Using a Learned Dictionary of Pairs of Orthonormal Bases. 458–458. 1 indexed citations

18.

An, Lu, Xin Hou, Lin Chen, & Cheng‐Lin Liu. (2010). Insect Species Recognition using Sparse Representation. 108.1–108.10. 10 indexed citations

19.

Li, S.Z., et al.. (2005). Learning spatially localized, parts-based representation. 1. I–207. 523 indexed citations breakdown →

20.

Yan, Jie, et al.. (2002). Learning low dimensional invariant signature of 3-D object under varying view and illumination from 2-D appearances. 1. 635–640. 8 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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