Xin Guan

428 total citations
45 papers, 268 citations indexed

About

Xin Guan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Xin Guan has authored 45 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Xin Guan's work include Advanced Image Fusion Techniques (5 papers), Image Enhancement Techniques (5 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). Xin Guan is often cited by papers focused on Advanced Image Fusion Techniques (5 papers), Image Enhancement Techniques (5 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). Xin Guan collaborates with scholars based in China, United States and Singapore. Xin Guan's co-authors include Mohan Kankanhalli, Yinghui Wu, Kai Yang, Gang Wang, Chen Liu, Ee‐Chien Chang, Klaus Mueller, Zhiyong Huang, You He and Yong Deng and has published in prestigious journals such as IEEE Access, Geophysics and Remote Sensing.

In The Last Decade

Xin Guan

34 papers receiving 248 citations

Peers

Xin Guan
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 115
  • Artificial Intelligence 60
  • Electrical and Electronic Engineering 37
  • Aerospace Engineering 34
  • Control and Systems Engineering 25
Daniel Berjón Spain
András Rövid Hungary
Mahmoud Melkemi France
Huang Zhang China
Yuxi Hu China
Fang Dai China
Linlin Tang China
Weijian Xu China
Jian Lü China
Daniel Berjón Spain View profile →
Citations per field, relative to Xin Guan
Xin Guan · 1×
Citations per year, relative to Xin Guan
Xin Guan · 1×

Countries citing papers authored by Xin Guan

Since Specialization
Citations

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

Fields of papers citing papers by Xin Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Guan. A scholar is included among the top collaborators of Xin Guan 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 Xin Guan. Xin Guan 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 0
2 0
3 0
4 1
5 1
6 0
7 0
8 0
9 1
10 27
11 15
12 0
13 3
14 6
15 14
16 1
17 2
18
A New Attribute Recognition Method of Radar Emitter
1
19 7
20 18

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026