L. Yang

88 papers receiving 1.2k citations

Peers

L. Yang
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 360
  • Human-Computer Interaction 82
  • Radiation 112
  • Media Technology 105
  • General Dentistry 16
Replace Xiaodong Yang with:
Xiaodong Yang China
Kuan‐Chih Huang Taiwan
Orçun Göksel Switzerland
Zbisław Tabor Poland
Peng He China
Hans Roehrig United States
Satoshi Ito Japan
Philip Edwards United Kingdom
U. Tiede Germany
Hideaki Haneishi Japan
L. Yang relative to Xiaodong Yang China Xiaodong Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by L. Yang

Since Specialization
Citations

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

Fields of papers citing papers by L. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014176
2 2016111
3 201492
4 201871
5 201543
6 201042
7 200339
8 202432
9 200328
10 201427
11 202026
12 202325
13 201424
14 202322
15 200920
16 200320
17 201818
18 201117
19 201017
20 202316

About L. Yang

L. Yang is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Surgery and Atomic and Molecular Physics, and Optics, having authored 99 papers that have together received 1.3k indexed citations. Recurring topics across this work include Soft Robotics and Applications (25 papers), Surgical Simulation and Training (18 papers), Atomic and Subatomic Physics Research (17 papers), Augmented Reality Applications (17 papers), Robotics and Sensor-Based Localization (13 papers), Quantum, superfluid, helium dynamics (12 papers), Image Processing Techniques and Applications (10 papers) and Teleoperation and Haptic Systems (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (360 citations), Human-Computer Interaction (82 citations), Radiation (112 citations), Media Technology (105 citations) and General Dentistry (16 citations). L. Yang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Etsuko Kobayashi, Junchen Wang, Ichiro Sakuma, Hideyuki Suenaga, Hongen Liao, U-Xuan Tan, Kazuto Hoshi, Kamal Youcef‐Toumi, John M. Doyle and P.R. Huffman. Their work appears in journals such as IEEE Robotics and Automation Letters, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Automation Science and Engineering, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms and Sensors.

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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