Ganbayar Batchuluun

1.1k citations
34 papers · 777 indexed · h-index 17
Topics
Video Surveillance and Tracking Methods (9 papers)Human Pose and Action Recognition (8 papers)Advanced Image Processing Techniques (6 papers)
Partner nations
South Korea

In The Last Decade

Ganbayar Batchuluun

32 papers receiving 744 citations

Peers

Ganbayar Batchuluun
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 363
  • Artificial Intelligence 204
  • Radiology, Nuclear Medicine and Imaging 192
  • Biomedical Engineering 105
  • Human-Computer Interaction 86
Replace Wenfeng Song with:
Wenfeng Song China
Kang Zheng United States
Ajay Mittal India
Vishnuvarthanan Govindaraj India
Ziqi Zhang China
Sirui Ding China
Rohit Girdhar United States
Mohammed A.‐M. Salem Egypt
Chengwei Pan China
Ganbayar Batchuluun relative to Wenfeng Song China Wenfeng Song's profile →
Citations per field
00.5×4.1×
Wenfeng Song · 1×
Citations per year

Countries citing papers authored by Ganbayar Batchuluun

Since Specialization
Citations

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

Fields of papers citing papers by Ganbayar Batchuluun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganbayar Batchuluun

This figure shows the co-authorship network connecting the top 25 collaborators of Ganbayar Batchuluun. A scholar is included among the top collaborators of Ganbayar Batchuluun 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 Ganbayar Batchuluun. Ganbayar Batchuluun 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 0
2 2
3 2
4 1
5 2
6 5
7 35
8 5
9 6
10 17
11 37
12 25
13 82
14 25
15 13
16 37
17 69
18 112
19 55
20 22

About Ganbayar Batchuluun

Ganbayar Batchuluun is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 34 papers that have together received 777 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (8 papers) and Advanced Image Processing Techniques (6 papers). The work is most often cited by research in Health Informatics (37 citations), Computer Vision and Pattern Recognition (363 citations) and Human-Computer Interaction (86 citations). Ganbayar Batchuluun has collaborated with scholars based in South Korea. Frequent co-authors include Kang Ryoung Park, Dat Tien Nguyen, Tuyen Danh Pham, Jin Kyu Kang, Muhammad Arsalan, Kang Park, Rizwan Ali Naqvi, Se Hyun Nam, Hyung Hong and Jong Kim. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.

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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