Tian Guan

1.1k total citations
71 papers, 701 citations indexed

About

Tian Guan is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tian Guan has authored 71 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 18 papers in Atomic and Molecular Physics, and Optics and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tian Guan's work include AI in cancer detection (17 papers), Mechanical and Optical Resonators (9 papers) and Digital Imaging for Blood Diseases (8 papers). Tian Guan is often cited by papers focused on AI in cancer detection (17 papers), Mechanical and Optical Resonators (9 papers) and Digital Imaging for Blood Diseases (8 papers). Tian Guan collaborates with scholars based in China, Czechia and United States. Tian Guan's co-authors include Yonghong He, Dongmei Li, Zhiyuan Shen, Yiqing Liu, Yang Xu, Q. He, Huijuan Shi, Anjia Han, Le Liu and Shuting Liu and has published in prestigious journals such as Nature Communications, Applied Physics Letters and Analytical Chemistry.

In The Last Decade

Tian Guan

64 papers receiving 669 citations

Peers

Tian Guan
Comparison fields: 5 of 113
  • Atomic and Molecular Physics, and Optics 220
  • Artificial Intelligence 172
  • Electrical and Electronic Engineering 165
  • Computer Vision and Pattern Recognition 135
  • Biomedical Engineering 121
Ziyuan Yang China
Zhiyuan Shen China
Kazuhiro Hotta Japan
Junichi Nakamura Japan
Zhenming Yu China
Ata Mahjoubfar United States
Hideharu Mikami Japan
Guifang Shao China
Yuhang Li China
Ziyuan Yang China View profile →
Citations per field, relative to Tian Guan
Tian Guan · 1×
Citations per year, relative to Tian Guan
Tian Guan · 1×

Countries citing papers authored by Tian Guan

Since Specialization
Citations

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

Fields of papers citing papers by Tian Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Tian Guan. A scholar is included among the top collaborators of Tian 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 Tian Guan. Tian 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 1
2 0
3 4
4 1
5 2
6 1
7 5
8 2
9 19
10 6
11 84
12 64
13 4
14 40
15 10
16
Exploring New Pathway of Management:Qualitative Research Methods in Business Anthropology
1
17
Cross-cultural Issues in Internet Marketing
4
18
Business Anthropology and Cultural Different Management
1
19 0
20 9

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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