Long Yang

542 citations
43 papers · 355 · h-index 11

Impact in

Papers in

Long Yang

36 papers receiving 349 citations

Peers

Long Yang
Comparison fields: 5 of 89
  • Computer Graphics and Computer-Aided Design 36
  • Geology 41
  • Computer Vision and Pattern Recognition 128
  • Fuel Technology 4
  • Nuclear Energy and Engineering 2
Replace Tong He with:
Tong He China
Isabelle Debled-Rennesson France
Guofeng Zhang China
Andrzej Sioma Poland
G. Impoco Italy
Xuan Luo China
Thinal Raj Malaysia
Yubin Miao China
Tae‐Kyeong Lee South Korea
Ruifang Zhai China
Long Yang relative to Tong He China Tong He's profile →
Citations per field
00.5×10×15×18×
Tong He · 1×
Citations per year

Countries citing papers authored by Long Yang

Since Specialization
Citations

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

Fields of papers citing papers by Long Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201863
2 202231
3 202229
4 201724
5 201624
6 201722
7 202119
8 202319
9 202215
10 202214
11 202314
12 20219
13 20216
14 20245
15 20235
16 20235
17 20145
18 20165
19 20225
20 20145

About Long Yang

Long Yang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Aerospace Engineering, Computer Graphics and Computer-Aided Design and Biomedical Engineering, having authored 43 papers that have together received 355 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (6 papers), Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (5 papers), Computer Graphics and Visualization Techniques (5 papers), Optical measurement and interference techniques (4 papers), Advanced Numerical Analysis Techniques (3 papers), Obstructive Sleep Apnea Research (3 papers) and Image Processing and 3D Reconstruction (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (36 citations), Geology (41 citations), Computer Vision and Pattern Recognition (128 citations), Fuel Technology (4 citations) and Nuclear Energy and Engineering (2 citations). Long Yang has collaborated with scholars based in China, South Korea and Norway. Frequent co-authors include Chunxia Xiao, Qingan Yan, Qian Li, Yang Wang, Lichao Ge, Tianhong Zhou, Jing Huang, Yun Hu, Hao Zhu and Zhengrong Li. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Scientific Data, IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Antennas and Propagation and Frontiers in Earth Science.

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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