Hongkun Yu

2.2k total citations · 1 hit paper
3 papers, 113 citations indexed

About

Hongkun Yu is a scholar working on Organic Chemistry, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Hongkun Yu has authored 3 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Organic Chemistry, 1 paper in Cognitive Neuroscience and 1 paper in Artificial Intelligence. Recurrent topics in Hongkun Yu's work include Functional Brain Connectivity Studies (1 paper), Nanomaterials for catalytic reactions (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). Hongkun Yu is often cited by papers focused on Functional Brain Connectivity Studies (1 paper), Nanomaterials for catalytic reactions (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). Hongkun Yu collaborates with scholars based in United States. Hongkun Yu's 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 and has published in prestigious journals such as Acta Physico-Chimica Sinica and 2022 IEEE International Conference on Image Processing (ICIP).

In The Last Decade

Hongkun Yu

3 papers receiving 106 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Large Language Models Can Self-Improve

2023 107 citations Jiaxin Huang, Shixiang Gu et al. profile →

Peers

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

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3 of 3 papers shown

#	Work	Indexed citations
1	Large Language Models Can Self-Improve breakdown → 2023 ·Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han	107
2	Deep Learning From Imaging Genetics for Schizophrenia Classification 2022 ·2022 IEEE International Conference on Image Processing (ICIP) ·Hongkun Yu, (unknown), Vince D. Calhoun, Dong Hye Ye	5
3	Preparation, Hydrodesulfurization and Hydrodenitrogenation Performance of a Ni<sub>2</sub>P/TiO<sub>2</sub>-Al<sub>2</sub>O<sub>3</sub> Catalyst 2010 ·Acta Physico-Chimica Sinica ·Hua Song, (unknown), Li Feng, Hongkun Yu	1

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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