Yalong Yang

1.5k total citations · 1 hit paper
45 papers, 726 citations indexed

About

Yalong Yang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Yalong Yang has authored 45 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 12 papers in Human-Computer Interaction and 7 papers in Artificial Intelligence. Recurrent topics in Yalong Yang's work include Data Visualization and Analytics (21 papers), Virtual Reality Applications and Impacts (8 papers) and Interactive and Immersive Displays (8 papers). Yalong Yang is often cited by papers focused on Data Visualization and Analytics (21 papers), Virtual Reality Applications and Impacts (8 papers) and Interactive and Immersive Displays (8 papers). Yalong Yang collaborates with scholars based in United States, China and Australia. Yalong Yang's co-authors include Tim Dwyer, Kim Marriott, Hanspeter Pfister, Yuheng Zhao, Yi Chen, Xiangyang Xue, Richen Liu, Jinjing Jiang, Siming Chen and Sarah Goodwin and has published in prestigious journals such as Applied Surface Science, Journal of Alloys and Compounds and Materials.

In The Last Decade

Yalong Yang

40 papers receiving 698 citations

Hit Papers

Metaverse: Perspectives from graphics, interactions and v... 2022 2026 2023 2024 2022 50 100 150 200

Peers

Yalong Yang
Comparison fields: 5 of 107
  • Computer Vision and Pattern Recognition 375
  • Human-Computer Interaction 246
  • Artificial Intelligence 70
  • Signal Processing 57
  • Information Systems 56
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Achim Ebert Germany View profile →
Citations per field, relative to Yalong Yang
Yalong Yang · 1×
Citations per year, relative to Yalong Yang
Yalong Yang · 1×

Countries citing papers authored by Yalong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yalong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yalong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yalong Yang. A scholar is included among the top collaborators of Yalong Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yalong Yang. Yalong Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 1
3 0
4 1
5 0
6 7
7 6
8 2
9 5
10 2
11 3
12 3
13 10
14 17
15 2
16
Metaverse: Perspectives from graphics, interactions and visualization breakdown →
220
17 27
18 5
19
QNX-based Real-time Control System Design for EAST PF Power Supply Site Equipments
2
20 1

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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