Huibin Shen

2.0k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Huibin Shen is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, Huibin Shen has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 6 papers in Molecular Biology and 5 papers in Spectroscopy. Recurrent topics in Huibin Shen's work include Metabolomics and Mass Spectrometry Studies (6 papers), Analytical Chemistry and Chromatography (5 papers) and Computational Drug Discovery Methods (5 papers). Huibin Shen is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Analytical Chemistry and Chromatography (5 papers) and Computational Drug Discovery Methods (5 papers). Huibin Shen collaborates with scholars based in Finland, Germany and Switzerland. Huibin Shen's co-authors include Juho Rousu, Kai Dührkop, Sebastian Böcker, Marvin Meusel, Markus Heinonen, Nicola Zamboni, Céline Brouard, Florence d’Alché–Buc, Bart Ghesquière and Martin Krauß and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Journal of Cheminformatics.

In The Last Decade

Huibin Shen

8 papers receiving 1.2k citations

Hit Papers

align trajectories sort by overperformance

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.

Searching molecular structure databases with tandem mass spectra using CSI:FingerID

2015 774 citations Kai Dührkop, Huibin Shen et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Huibin Shen Finland	7	920	443	238	205	107	8	1.2k
Xavier Domingo-Almenara United States	14	1.3k 1.4×	564 1.3×	303 1.3×	145 0.7×	71 0.7×	27	1.7k
Aries Aisporna United States	10	890 1.0×	408 0.9×	190 0.8×	115 0.6×	50 0.5×	12	1.2k
Christoph Ruttkies Germany	14	817 0.9×	399 0.9×	234 1.0×	123 0.6×	64 0.6×	16	1.2k
Marvin Meusel Germany	5	1.3k 1.4×	474 1.1×	278 1.2×	195 1.0×	216 2.0×	6	2.0k
Duane Rinehart United States	12	1.5k 1.6×	462 1.0×	310 1.3×	61 0.3×	108 1.0×	14	2.0k
Markus Fleischauer Germany	7	1.3k 1.4×	405 0.9×	219 0.9×	194 0.9×	243 2.3×	9	2.0k
Marcus Ludwig Germany	10	1.4k 1.5×	432 1.0×	235 1.0×	214 1.0×	248 2.3×	16	2.1k
Shankar Subramanian India	4	562 0.6×	150 0.3×	98 0.4×	182 0.9×	99 0.9×	5	1.0k
Michael Witting Germany	27	1.3k 1.5×	423 1.0×	223 0.9×	99 0.5×	65 0.6×	80	2.1k
Yandong Yin China	15	935 1.0×	421 1.0×	146 0.6×	57 0.3×	39 0.4×	21	1.2k

Countries citing papers authored by Huibin Shen

Since Specialization

Citations

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

Fields of papers citing papers by Huibin Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huibin Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Huibin Shen. A scholar is included among the top collaborators of Huibin Shen 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 Huibin Shen. Huibin Shen 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:

8 of 8 papers shown

1.

Perrone, Valerio, Huibin Shen, Matthias Seeger, Cédric Archambeau, & Rodolphe Jenatton. (2019). Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning. arXiv (Cornell University). 32. 12751–12761. 8 indexed citations

2.

Salinas, David, Huibin Shen, & Valerio Perrone. (2019). A Quantile-based Approach for Hyperparameter Transfer Learning. arXiv (Cornell University). 1. 8438–8448. 3 indexed citations

3.

Schymanski, Emma, Christoph Ruttkies, Martin Krauß, et al.. (2017). Critical Assessment of Small Molecule Identification 2016: automated methods. Journal of Cheminformatics. 9(1). 22–22. 123 indexed citations

4.

Brouard, Céline, Huibin Shen, Kai Dührkop, et al.. (2016). Fast metabolite identification with Input Output Kernel Regression. Bioinformatics. 32(12). i28–i36. 61 indexed citations

5.

Dührkop, Kai, Huibin Shen, Marvin Meusel, Juho Rousu, & Sebastian Böcker. (2015). Searching molecular structure databases with tandem mass spectra using CSI:FingerID. Proceedings of the National Academy of Sciences. 112(41). 12580–12585. 774 indexed citations breakdown →

6.

Shen, Huibin, Kai Dührkop, Sebastian Böcker, & Juho Rousu. (2014). Metabolite identification through multiple kernel learning on fragmentation trees. Bioinformatics. 30(12). i157–i164. 85 indexed citations

7.

Shen, Huibin, Nicola Zamboni, Markus Heinonen, & Juho Rousu. (2013). Metabolite Identification through Machine Learning— Tackling CASMI Challenge Using FingerID. Metabolites. 3(2). 484–505. 25 indexed citations

8.

Heinonen, Markus, Huibin Shen, Nicola Zamboni, & Juho Rousu. (2012). Metabolite identification and molecular fingerprint prediction through machine learning. Bioinformatics. 28(18). 2333–2341. 139 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.

Explore authors with similar magnitude of impact