Guangming Tan

830 total citations
37 papers, 431 citations indexed

About

Guangming Tan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Guangming Tan has authored 37 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in Guangming Tan's work include Graph Theory and Algorithms (7 papers), Advanced Data Storage Technologies (5 papers) and Parallel Computing and Optimization Techniques (5 papers). Guangming Tan is often cited by papers focused on Graph Theory and Algorithms (7 papers), Advanced Data Storage Technologies (5 papers) and Parallel Computing and Optimization Techniques (5 papers). Guangming Tan collaborates with scholars based in China, Japan and United States. Guangming Tan's co-authors include Wenfeng Zeng, Chao Liu, Long Wu, Wenjing Zhou, Ping Xu, Hao Chi, Si‐Min He, Zhenlin Chen, Yao Zhang and Hao Yang and has published in prestigious journals such as Nature Biotechnology, Nature Cell Biology and Water Resources Management.

In The Last Decade

Guangming Tan

26 papers receiving 423 citations

Peers

Guangming Tan
Comparison fields: 5 of 106
  • Molecular Biology 279
  • Spectroscopy 124
  • Oncology 29
  • Ocean Engineering 25
  • Cell Biology 25
Replace Helen M. Grindley with:
Helen M. Grindley United Kingdom
Markus Heinonen Finland
Patricia M. Palagi Switzerland
Yike Wu China
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Antonio Palmeri Italy
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Deepak Kolippakkam United States
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Citations per field, relative to Guangming Tan
Guangming Tan · 1×
Citations per year, relative to Guangming Tan
Guangming Tan · 1×

Countries citing papers authored by Guangming Tan

Since Specialization
Citations

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

Fields of papers citing papers by Guangming Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangming Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Guangming Tan. A scholar is included among the top collaborators of Guangming Tan 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 Guangming Tan. Guangming Tan 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 1
4 0
5 0
6 1
7 0
8 1
9 1
10 1
11 0
12 0
13 1
14 0
15 4
16 1
17 39
18 8
19 2
20 283

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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