Le Xue

37 papers receiving 469 citations

Peers

Le Xue
Comparison fields: 5 of 59
  • Statistical and Nonlinear Physics 326
  • Modeling and Simulation 57
  • Atomic and Molecular Physics, and Optics 195
  • Health Informatics 7
  • Geometry and Topology 40
Replace Miguel Martı́n-Landrove with:
Miguel Martı́n-Landrove Venezuela
Thanos Manos France
Yunli Qiu China
Fernando A. N. Santos Brazil
Fabien II Ndzana Cameroon
Alessandra Faggionato Italy
T. V. Laptyeva Russia
A. H. Osbaldestin United Kingdom
Le Xue relative to Miguel Martı́n-Landrove Venezuela Miguel Martı́n-Landrove's profile →
Citations per field
00.5×10×13×
Miguel Martı́n-Landrove · 1×
Citations per year

Countries citing papers authored by Le Xue

Since Specialization
Citations

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

Fields of papers citing papers by Le Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Le Xue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Le Xue Line = papers co-authored together Le Xue links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201545
2 201641
3 201433
4 201432
5 202328
6 201528
7 201524
8 202423
9 201522
10 201422
11 201521
12 201518
13 201415
14 201512
15 202312
16 201411
17 201411
18 202210
19 20238
20 20148

About Le Xue

Le Xue is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Geometry and Topology, having authored 38 papers that have together received 478 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (14 papers), Nonlinear Photonic Systems (12 papers), Advanced Fiber Laser Technologies (6 papers), Functional Brain Connectivity Studies (5 papers), Medical Imaging Techniques and Applications (4 papers), Dementia and Cognitive Impairment Research (3 papers), Algebraic structures and combinatorial models (3 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (326 citations), Modeling and Simulation (57 citations), Atomic and Molecular Physics, and Optics (195 citations), Health Informatics (7 citations) and Geometry and Topology (40 citations). Le Xue has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Yi-Tian Gao, Da-Wei Zuo, Yu-Jie Feng, Yu-Hao Sun, Yu-Jia Shen, Chuan-Qi Su, Xin Yu, Qimin Wang, Mei Tian and Zhi‐Yuan Sun. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Molecular Imaging and Biology, Medical Image Analysis, Journal of Applied Physics and Journal of Mathematical Analysis and Applications.

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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