Bumsub Ham

4.4k total citations · 2 hit papers
62 papers, 2.5k citations indexed

About

Bumsub Ham is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Bumsub Ham has authored 62 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 10 papers in Artificial Intelligence. Recurrent topics in Bumsub Ham's work include Advanced Vision and Imaging (23 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Advanced Image Processing Techniques (14 papers). Bumsub Ham is often cited by papers focused on Advanced Vision and Imaging (23 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Advanced Image Processing Techniques (14 papers). Bumsub Ham collaborates with scholars based in South Korea, France and Singapore. Bumsub Ham's co-authors include Hyunjong Park, Jongyoun Noh, Kwanghoon Sohn, Sanghoon Lee, Junghyup Lee, N. Minh, Sung‐Hwan Choi, Jean Ponce, Dongbo Min and Minsu Cho and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Bumsub Ham

56 papers receiving 2.4k citations

Hit Papers

Learning Memory-Guided Normality for Anomal... 2014 2026 2018 2022 2020 2014 100 200 300 400 500

Peers

Bumsub Ham
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 1.9k
  • Artificial Intelligence 754
  • Media Technology 483
  • Computer Networks and Communications 343
  • Biomedical Engineering 319
Replace Dong Gong with:
Dong Gong China
Margret Keuper Germany
Qianru Sun Singapore
Danijel Skočaj Slovenia
Thomas H. Li China
Shaohui Lin China
Peng Hu China
Lixin Zheng China
Quan Zhou China
Dong Gong China View profile →
Citations per field, relative to Bumsub Ham
Bumsub Ham · 1×
Citations per year, relative to Bumsub Ham
Bumsub Ham · 1×

Countries citing papers authored by Bumsub Ham

Since Specialization
Citations

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

Fields of papers citing papers by Bumsub Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bumsub Ham

This figure shows the co-authorship network connecting the top 25 collaborators of Bumsub Ham. A scholar is included among the top collaborators of Bumsub Ham 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 Bumsub Ham. Bumsub Ham 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 5
4 7
5 0
6 21
7
Learning Memory-Guided Normality for Anomaly Detection breakdown →
571
8 6
9 22
10 142
11 9
12
Proposal Flow
39
13 37
14
Fast Global Image Smoothing Based on Weighted Least Squares breakdown →
276
15 23
16 23
17 29
18 3
19 11
20 2

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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