Jun Xian

486 total citations
44 papers, 325 citations indexed

About

Jun Xian is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Jun Xian has authored 44 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Applied Mathematics, 20 papers in Computer Vision and Pattern Recognition and 15 papers in Computational Mechanics. Recurrent topics in Jun Xian's work include Mathematical Analysis and Transform Methods (26 papers), Image and Signal Denoising Methods (19 papers) and Sparse and Compressive Sensing Techniques (10 papers). Jun Xian is often cited by papers focused on Mathematical Analysis and Transform Methods (26 papers), Image and Signal Denoising Methods (19 papers) and Sparse and Compressive Sensing Techniques (10 papers). Jun Xian collaborates with scholars based in China, United States and Germany. Jun Xian's co-authors include Qiyu Sun, Li Song, Hartmut Führ, Wei Lin, Yaxu Li, Wenchang Sun, M. Zuhair Nashed, Jinming Wen, Alan Wee‐Chung Liew and Li Song and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Signal Processing and BMC Bioinformatics.

In The Last Decade

Jun Xian

40 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Xian China 10 216 128 90 67 55 44 325
José Luis Romero Austria 10 143 0.7× 98 0.8× 47 0.5× 44 0.7× 21 0.4× 37 271
Hongbin Guo United States 8 39 0.2× 140 1.1× 49 0.5× 36 0.5× 124 2.3× 22 325
Fritz Keinert United States 8 56 0.3× 148 1.2× 39 0.4× 28 0.4× 68 1.2× 20 320
Pouya D. Tafti Switzerland 9 39 0.2× 106 0.8× 86 1.0× 20 0.3× 38 0.7× 17 245
Joseph D. Lakey United States 8 220 1.0× 107 0.8× 38 0.4× 74 1.1× 7 0.1× 36 295
Youming Liu China 9 132 0.6× 133 1.0× 55 0.6× 28 0.4× 14 0.3× 42 268
Say Song Goh Singapore 11 189 0.9× 174 1.4× 50 0.6× 29 0.4× 19 0.3× 39 286
Jeff Calder United States 13 38 0.2× 106 0.8× 63 0.7× 52 0.8× 42 0.8× 41 374
Chen Sagiv Israel 7 78 0.4× 228 1.8× 34 0.4× 11 0.2× 30 0.5× 15 297
Giampietro Allasia Italy 10 75 0.3× 69 0.5× 114 1.3× 24 0.4× 6 0.1× 37 273

Countries citing papers authored by Jun Xian

Since Specialization
Citations

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

Fields of papers citing papers by Jun Xian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Xian

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Xian. A scholar is included among the top collaborators of Jun Xian 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 Jun Xian. Jun Xian 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.
Li, Shidong, et al.. (2024). Analyses of the tail- ℓ 2 minimization for fast and enhanced sparse selections. Signal Processing. 227. 109728–109728. 1 indexed citations
2.
Shen, Lili, Jun Xian, & Cheng Cheng. (2024). Reconstruction of bandlimited graph signals from random local sampling. Physica Scripta. 99(10). 105032–105032. 1 indexed citations
3.
Xian, Jun, et al.. (2024). Random Sampling of Bandlimited Graph Signals From Local Measurements. IEEE Signal Processing Letters. 31. 2140–2144. 2 indexed citations
4.
Li, Yaxu & Jun Xian. (2023). Sampling and Reconstruction of Signals in a Reproducing Kernel Space with Mixed Norm. Results in Mathematics. 78(5). 1 indexed citations
5.
6.
Chen, Wanxu, et al.. (2022). Impact of Urbanization on Ecosystem Services Balance in the Han River Ecological Economic Belt, China: A Multi-Scale Perspective. International Journal of Environmental Research and Public Health. 19(21). 14304–14304. 7 indexed citations
7.
Peng, Ming, et al.. (2022). Vitamin D ameliorates asthma‐induced lung injury by regulating HIF‐1α/Notch1 signaling during autophagy. Food Science & Nutrition. 10(8). 2773–2785. 12 indexed citations
8.
Li, Haifeng, et al.. (2021). Nearly optimal number of iterations for sparse signal recovery with orthogonal multi-matching pursuit *. Inverse Problems. 37(11). 115007–115007. 1 indexed citations
9.
Li, Yaxu, Jinming Wen, & Jun Xian. (2019). Reconstruction from convolution random sampling in local shift invariant spaces. Inverse Problems. 35(12). 125008–125008. 11 indexed citations
10.
Wen, Jinming, et al.. (2019). An RIP Condition for Exact Support Recovery With Covariance-Assisted Matching Pursuit. IEEE Signal Processing Letters. 26(3). 520–524. 9 indexed citations
11.
Führ, Hartmut & Jun Xian. (2018). Relevant sampling in finitely generated shift-invariant spaces. Journal of Approximation Theory. 240. 1–15. 27 indexed citations
12.
Führ, Hartmut & Jun Xian. (2013). Quantifying invariance properties of shift-invariant spaces. Applied and Computational Harmonic Analysis. 36(3). 514–521. 8 indexed citations
13.
Li, Songhua & Jun Xian. (2013). A multiscale Galerkin method for the hypersingular integral equation reduced by the harmonic equation. Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao. 28(1). 75–89. 2 indexed citations
14.
Xian, Jun. (2013). Average sampling and reconstruction in a reproducing kernel subspace of homogeneous type space. Mathematische Nachrichten. 287(8-9). 1042–1056. 6 indexed citations
15.
Nashed, M. Zuhair, Qiyu Sun, & Jun Xian. (2012). Convolution sampling and reconstruction of signals in a reproducing kernel subspace. Proceedings of the American Mathematical Society. 141(6). 1995–2007. 20 indexed citations
16.
Xian, Jun. (2011). Local sampling set conditions in weighted shift-invariant signal spaces. Applicable Analysis. 91(3). 447–457. 5 indexed citations
17.
Liew, Alan Wee‐Chung, et al.. (2007). Spectral estimation in unevenly sampled space of periodically expressed microarray time series data. BMC Bioinformatics. 8(1). 137–137. 25 indexed citations
18.
Xian, Jun & Li Song. (2006). Sampling set conditions in weighted multiply generated shift-invariant spaces and their applications. Applied and Computational Harmonic Analysis. 23(2). 171–180. 37 indexed citations
19.
Xian, Jun, et al.. (2004). Reconstruction from non-uniform average sampling. Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao. 1 indexed citations
20.
Xian, Jun & Wei Lin. (2003). Sampling and reconstruction in time-warped spaces and their applications. Applied Mathematics and Computation. 157(1). 153–173. 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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