Hongkun Yu

2.2k citations
3 papers · 113 indexed · 1 hit paper · h-index 2
Topics
Functional Brain Connectivity Studies (1 paper)Nanomaterials for catalytic reactions (1 paper)Advanced Neuroimaging Techniques and Applications (1 paper)
Journals
Acta Physico-Chimica Sinica2022 IEEE International Conference on Image Processing (ICIP)
Partner nations
United States

In The Last Decade

Hongkun Yu

3 papers receiving 106 citations

Hit Papers

Large Language Models Can Self-Improve20232026202420252023255075100

Peers

Hongkun Yu
Comparison fields: 5 of 41
  • Artificial Intelligence 83
  • Computer Vision and Pattern Recognition 18
  • Health Informatics 13
  • Information Systems 7
  • Radiology, Nuclear Medicine and Imaging 6
Replace Tosin Adewumi with:
Tosin Adewumi Sweden
Roberta Răileanu Israel
Jasmijn Bastings United States
Miruna Clinciu United Kingdom
Wenyue Hua United States
Pablo Pedemonte United States
Lintang Sutawika United States
Yunhui Long United States
Prashant Shah United States
Sami Mourad United States
Hongkun Yu relative to Tosin Adewumi Sweden Tosin Adewumi's profile →
Citations per field
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Tosin Adewumi · 1×
Citations per year

Countries citing papers authored by Hongkun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hongkun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongkun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongkun Yu. A scholar is included among the top collaborators of Hongkun Yu 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 Hongkun Yu. Hongkun Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1
Large Language Models Can Self-Improvebreakdown →
107
2 5
3 1

About Hongkun Yu

Hongkun Yu is a scholar working on Biophysics, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 3 papers that have together received 113 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (1 paper), Nanomaterials for catalytic reactions (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (13 citations), Artificial Intelligence (83 citations) and General Social Sciences (3 citations). Hongkun Yu has collaborated with scholars based in United States. Frequent co-authors include Yuexin Wu, Shixiang Gu, Jiawei Han, Jiaxin Huang, Xuezhi Wang, Le Hou, Vince D. Calhoun, Dong Hye Ye, Hua Song and Li Feng. Their work appears in journals such as Acta Physico-Chimica Sinica and 2022 IEEE International Conference on Image Processing (ICIP).

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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