Xichen Yang

505 citations
35 papers · 371 · h-index 10

Impact in

Papers in

Xichen Yang

30 papers receiving 360 citations

Peers

Xichen Yang
Comparison fields: 5 of 53
  • Computer Networks and Communications 135
  • Media Technology 48
  • Computer Vision and Pattern Recognition 74
  • Automotive Engineering 41
  • Electrical and Electronic Engineering 160
Replace Chang‐Heng Wang with:
Chang‐Heng Wang United States
Xian Zhang China
David Navarro France
Abdullah J. Alzahrani Saudi Arabia
Yizhe Zhao China
Zheng Shi China
Ziming Yu China
Hyun-Yong Lee South Korea
Guo‐Ming Sung Taiwan
Xichen Yang relative to Chang‐Heng Wang United States Chang‐Heng Wang's profile →
Citations per field
00.5×5.3×
Chang‐Heng Wang · 1×
Citations per year

Countries citing papers authored by Xichen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xichen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201893
2 198775
3 202039
4 201626
5 202018
6 201614
7 202312
8 201910
9 201810
10 20239
11 20148
12 20237
13 20207
14 20186
15 20186
16 20225
17 20185
18 20164
19 20252
20 20202

About Xichen Yang

Xichen Yang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Electrical and Electronic Engineering, Computer Networks and Communications and Atomic and Molecular Physics, and Optics, having authored 35 papers that have together received 371 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (14 papers), Advanced Image Fusion Techniques (11 papers), Energy Efficient Wireless Sensor Networks (6 papers), Image Enhancement Techniques (5 papers), Visual Attention and Saliency Detection (4 papers), Color Science and Applications (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Advanced Image Processing Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (135 citations), Media Technology (48 citations), Computer Vision and Pattern Recognition (74 citations), Automotive Engineering (41 citations) and Electrical and Electronic Engineering (160 citations). Xichen Yang has collaborated with scholars based in China. Frequent co-authors include Gongxuan Zhang, Huafu Wang, Bing Li, Guoxiang Lan, Quansen Sun, Kongfa Hu, Qiang Liu, Yunlong Shang, Chenghui Zhang and Bin Duan. Their work appears in journals such as Multimedia Tools and Applications, Foods, Scientific Reports, SpringerPlus and Batteries.

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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