Kehua Guo

1.8k citations
104 papers · 1.2k indexed · h-index 19
Topics
Advanced Image Processing Techniques (18 papers)AI in cancer detection (17 papers)Advanced Vision and Imaging (16 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
Partner nations
ChinaJapanUnited Kingdom

In The Last Decade

Kehua Guo

95 papers receiving 1.2k citations

Peers

Kehua Guo
Comparison fields: 5 of 124
  • Computer Vision and Pattern Recognition 504
  • Artificial Intelligence 370
  • Computer Networks and Communications 275
  • Media Technology 195
  • Information Systems 147
Replace Deepak Garg with:
Deepak Garg India
Chao Tong China
Aaqif Afzaal Abbasi Pakistan
Gennaro Percannella Italy
Dheyaa Ahmed Ibrahim Iraq
Zhigao Zheng China
Lianglun Cheng China
Yanhui Guo China
Jianping Fan China
Asadollah Shahbahrami Iran
Kehua Guo relative to Deepak Garg India Deepak Garg's profile →
Citations per field
00.5×3.1×
Deepak Garg · 1×
Citations per year

Countries citing papers authored by Kehua Guo

Since Specialization
Citations

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

Fields of papers citing papers by Kehua Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kehua Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Kehua Guo. A scholar is included among the top collaborators of Kehua Guo 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 Kehua Guo. Kehua Guo 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
#WorkIndexed citations
1 2
2 2
3 9
4 0
5 7
6 16
7 28
8 3
9 12
10 5
11 0
12 0
13 3
14 2
15 3
16 12
17 39
18 41
19 24
20 4

About Kehua Guo

Kehua Guo is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mathematics, having authored 104 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (18 papers), AI in cancer detection (17 papers) and Advanced Vision and Imaging (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (504 citations), Media Technology (195 citations) and Computer Networks and Communications (275 citations). Kehua Guo has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Sheng Ren, Bin Hu, Hui Fang, Xiangyuan Zhu, Tao Chi, Y. A. Tang, Min Hu, Jianxin Wang, Ping Zhang and Jianhua Ma. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

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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