Xun Lang

1.1k citations
64 papers · 824 · h-index 18

Impact in

Papers in

Xun Lang

55 papers receiving 807 citations

Peers

Xun Lang
Comparison fields: 5 of 90
  • Control and Systems Engineering 517
  • Signal Processing 96
  • Media Technology 50
  • Analytical Chemistry 54
  • Computer Vision and Pattern Recognition 96
Replace Jingli Yang with:
Jingli Yang China
Thomas W. Rauber Brazil
Alok Kanti Deb India
Jinglin Zhou China
Pu Wang China
Jiedi Sun China
Gang Tang China
Huimin Zhao China
Jacek Wodecki Poland
Shulin Liu China
Xun Lang relative to Jingli Yang China Jingli Yang's profile →
Citations per field
00.5×3.7×
Jingli Yang · 1×
Citations per year

Countries citing papers authored by Xun Lang

Since Specialization
Citations

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

Fields of papers citing papers by Xun Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xun Lang, 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 Xun Lang Line = papers co-authored together Xun Lang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202074
2 201869
3 202358
4 202144
5 202044
6 201941
7 201637
8 201735
9 201632
10 202030
11 202128
12 201927
13 201927
14 202426
15 202126
16 202024
17 202120
18 202218
19 202114
20 202213

About Xun Lang

Xun Lang is a scholar working on Control and Systems Engineering, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Civil and Structural Engineering, having authored 64 papers that have together received 824 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (32 papers), Fault Detection and Control Systems (30 papers), Ultrasound Imaging and Elastography (10 papers), Structural Health Monitoring Techniques (10 papers), Cardiovascular Health and Disease Prevention (8 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Power Transformer Diagnostics and Insulation (6 papers) and Advanced Algorithms and Applications (5 papers). The work is most often cited by research in Control and Systems Engineering (517 citations), Signal Processing (96 citations), Media Technology (50 citations), Analytical Chemistry (54 citations) and Computer Vision and Pattern Recognition (96 citations). Xun Lang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Lei Xie, Hongye Su, Alexander Horch, Peng Li, Yufeng Zhang, Naveed ur Rehman, Shan Lu, Junghui Chen, Qiming Chen and Qian Zheng. Their work appears in journals such as Control Engineering Practice, IEEE Transactions on Instrumentation and Measurement, Measurement, IEEE Transactions on Control Systems Technology and Industrial & Engineering Chemistry Research.

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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