Jun Lan

421 citations
11 papers · 171 · h-index 5

Impact in

Papers in

Jun Lan

9 papers receiving 167 citations

Peers

Jun Lan
Comparison fields: 5 of 40
  • Health Informatics 9
  • Neurology 72
  • Neurology 34
  • Radiology, Nuclear Medicine and Imaging 41
  • Computer Vision and Pattern Recognition 30
Replace Hermelinda Abcede with:
Hermelinda Abcede United States
Renan Sales Barros Netherlands
Antoine Choppin Japan
Xiaowu Liu China
Fabíola Macruz United States
Dandan Tu China
Mustafa Ahmed Mahmutoglu Germany
Krishma Adatia United Kingdom
Sunny Virmani United States
Arjun Majumdar United States
Jun Lan relative to Hermelinda Abcede United States Hermelinda Abcede's profile →
Citations per field
00.5×3.4×
Hermelinda Abcede · 1×
Citations per year

Countries citing papers authored by Jun Lan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2021107
2 202025
3 202315
4 202110
5 20218
6
A Fast Planner Detection Method in LiDAR Point Clouds Using GPU-based RANSAC.
20182
7 20252
8 20251
9 20241
10 20250
11 20260

About Jun Lan

Jun Lan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Aerospace Engineering and Neurology, having authored 11 papers that have together received 171 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (2 papers), COVID-19 diagnosis using AI (2 papers), Image Enhancement Techniques (1 paper), Image and Signal Denoising Methods (1 paper), Antenna Design and Analysis (1 paper), Microwave Engineering and Waveguides (1 paper), Remote Sensing and LiDAR Applications (1 paper) and Radiology practices and education (1 paper). The work is most often cited by research in Health Informatics (9 citations), Neurology (72 citations), Neurology (34 citations), Radiology, Nuclear Medicine and Imaging (41 citations) and Computer Vision and Pattern Recognition (30 citations). Jun Lan has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Minghui Wang, Sen Yang, Xiao Han, Xiyue Wang, Jing Zhang, Tao Shen, Yanming Xu, Jianhui He, Yuqi Fang and Huaxiong Li. Their work appears in journals such as NeuroImage Clinical, Europhysics Letters (EPL), Multimedia Tools and Applications, The International Journal of Advanced Manufacturing Technology and IEEE Transactions on Cognitive and Developmental Systems.

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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