Yuhui Hong

403 total citations
10 papers, 147 citations indexed

About

Yuhui Hong is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Yuhui Hong has authored 10 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Yuhui Hong's work include Metabolomics and Mass Spectrometry Studies (3 papers), Analytical Chemistry and Chromatography (2 papers) and Computational Drug Discovery Methods (2 papers). Yuhui Hong is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Analytical Chemistry and Chromatography (2 papers) and Computational Drug Discovery Methods (2 papers). Yuhui Hong collaborates with scholars based in United States, China and South Korea. Yuhui Hong's co-authors include Han S. Uhm, Eunpyo Moon, Juyoung Kang, Haixu Tang, Christopher J. Welch, Jing Pan, Jiuyan Li, Yun‐Long Wu, Yuzhen Ye and Patrick Piras and has published in prestigious journals such as Bioinformatics, Analytical Chemistry and Thin Solid Films.

In The Last Decade

Yuhui Hong

7 papers receiving 144 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yuhui Hong United States	5	99	53	29	18	17	10	147
Konrad M. Dorling United Kingdom	4	60 0.6×	9 0.2×	90 3.1×	18 1.0×	5 0.3×	4	357
Jeankun Oh South Korea	3	114 1.2×	42 0.8×	35 1.2×	6 0.3×	3 0.2×	4	384
V. Lukanin Russia	8	42 0.4×	61 1.2×	7 0.2×		5 0.3×	24	119
H. Barr United Kingdom	3	19 0.2×	23 0.4×	61 2.1×	34 1.9×	2 0.1×	5	281
Katherine Ember Canada	5	29 0.3×	5 0.1×	66 2.3×	15 0.8×	2 0.1×	12	276
E.A. Kuper Russia	6	9 0.1×	42 0.8×	17 0.6×	20 1.1×		25	114
J. L. González Solís Mexico	8	14 0.1×	6 0.1×	108 3.7×	10 0.6×	2 0.1×	21	312
Peng Zheng China	6	15 0.2×	7 0.1×	50 1.7×	4 0.2×	1 0.1×	17	196
Erik Schreuder Netherlands	10	4 0.0×	194 3.7×	86 3.0×	4 0.2×	6 0.4×	19	304
Simeon Yordanov Germany	3	9 0.1×	58 1.1×	44 1.5×	36 2.0×		3	209

Countries citing papers authored by Yuhui Hong

Since Specialization

Citations

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

Fields of papers citing papers by Yuhui Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhui Hong

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Hong, Yuhui, Yuzhen Ye, & Haixu Tang. (2025). Machine Learning in Small-Molecule Mass Spectrometry. Annual Review of Analytical Chemistry. 18(1). 193–215. 3 indexed citations

2.

Hong, Yuhui, et al.. (2024). Multitask knowledge-primed neural network for predicting missing metadata and host phenotype based on human microbiome. Bioinformatics Advances. 5(1). vbae203–vbae203.

3.

Xiao, Qingyang, Kaiyuan Liu, Yuhui Hong, & Haixu Tang. (2024). Neural Networks for Chemists.

4.

Hong, Yuhui, Christopher J. Welch, Patrick Piras, & Haixu Tang. (2024). Enhanced Structure-Based Prediction of Chiral Stationary Phases for Chromatographic Enantioseparation from 3D Molecular Conformations. Analytical Chemistry. 96(6). 2351–2359. 13 indexed citations

5.

Hong, Yuhui, Sujun Li, Christopher J. Welch, et al.. (2023). 3DMolMS: prediction of tandem mass spectra from 3D molecular conformations. Bioinformatics. 39(6). 14 indexed citations

6.

Li, Yaochen, et al.. (2021). Geometric and semantic analysis of road image sequences for traffic scene construction. Neurocomputing. 465. 336–349.

7.

Li, Yaochen, et al.. (2021). SiamPolar: Semi-supervised realtime video object segmentation with polar representation. Neurocomputing. 467. 491–503. 5 indexed citations

8.

Hong, Yuhui, Na Lu, Jing Pan, Jiuyan Li, & Yun‐Long Wu. (2013). Electrical and spectral characteristics of an atmospheric pressure argon plasma jet generated with tube-ring electrodes in surface dielectric barrier discharge. Thin Solid Films. 531. 408–414. 15 indexed citations

9.

Uhm, Han S., et al.. (2009). Sterilization effects of ozone decay time in acidic water against Bacillus atrophaeus endospores. New Biotechnology. 25. S198–S198. 1 indexed citations

10.

Hong, Yuhui, et al.. (2008). Sterilization effect of atmospheric plasma onEscherichia coliandBacillus subtilisendospores. Letters in Applied Microbiology. 48(1). 33–37. 96 indexed citations

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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