Jun Huan

1.0k total citations
53 papers, 694 citations indexed

About

Jun Huan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Jun Huan has authored 53 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 18 papers in Molecular Biology. Recurrent topics in Jun Huan's work include Computational Drug Discovery Methods (19 papers), Bioinformatics and Genomic Networks (8 papers) and Face and Expression Recognition (6 papers). Jun Huan is often cited by papers focused on Computational Drug Discovery Methods (19 papers), Bioinformatics and Genomic Networks (8 papers) and Face and Expression Recognition (6 papers). Jun Huan collaborates with scholars based in United States, China and South Korea. Jun Huan's co-authors include Alexios Koutsoukas, Xiaoli Li, Hongliang Fei, Gerald H. Lushington, Chao Lan, Bo Luo, Jintao Zhang, Yong Bai, Min Song and Xiaohong Wang and has published in prestigious journals such as IEEE Access, BMC Bioinformatics and Separation and Purification Technology.

In The Last Decade

Jun Huan

48 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Huan United States	16	277	166	165	127	70	53	694
Daniele Grattarola Switzerland	10	339 1.2×	64 0.4×	66 0.4×	129 1.0×	38 0.5×	15	591
Anton Schwaighofer Germany	18	577 2.1×	255 1.5×	136 0.8×	246 1.9×	102 1.5×	36	1.3k
Razieh Sheikhpour Iran	16	570 2.1×	118 0.7×	179 1.1×	421 3.3×	130 1.9×	46	1.2k
Yongshun Gong China	16	245 0.9×	173 1.0×	106 0.6×	134 1.1×	54 0.8×	79	807
Tiantian He China	16	261 0.9×	77 0.5×	111 0.7×	89 0.7×	27 0.4×	51	555
Shikun Feng China	13	670 2.4×	52 0.3×	96 0.6×	392 3.1×	59 0.8×	37	1.2k
Changjun Zhou China	17	220 0.8×	86 0.5×	221 1.3×	265 2.1×	52 0.7×	66	923
Răzvan Andonie United States	14	313 1.1×	62 0.4×	52 0.3×	103 0.8×	85 1.2×	76	676
Mohammad Ali Zare Chahooki Iran	10	281 1.0×	90 0.5×	89 0.5×	281 2.2×	46 0.7×	34	627

Countries citing papers authored by Jun Huan

Since Specialization

Citations

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

Fields of papers citing papers by Jun Huan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Huan

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

20 of 20 papers shown

Lan, Chao, et al.. (2019). On the Unreported-Profile-is-Negative Assumption for Predictive Cheminformatics. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(4). 1352–1363. 2 indexed citations

Koutsoukas, Alexios, et al.. (2017). Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data. Journal of Cheminformatics. 9(1). 42–42. 231 indexed citations

Huan, Jun, et al.. (2017). Sparse Compositional Local Metric Learning. 1097–1104. 7 indexed citations

Carlson, Jordan, et al.. (2016). Developing Novel Machine Learning Algorithms to Improve Sedentary Assessment for Youth Health Enhancement. PubMed. 80. 375–379. 1 indexed citations

Koutsoukas, Alexios, et al.. (2016). Predictive Toxicology: Modeling Chemical Induced Toxicological Response Combining Circular Fingerprints with Random Forest and Support Vector Machine. Frontiers in Environmental Science. 4. 21 indexed citations

Huan, Jun, et al.. (2016). aptMTVL. 1171–1180. 1 indexed citations

Huan, Jun, et al.. (2013). Text Categorization of Biomedical Data Sets Using Graph Kernels and a Controlled Vocabulary. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(5). 1211–1217. 20 indexed citations

Fei, Hongliang, et al.. (2013). Computational prediction of toxicity. International Journal of Data Mining and Bioinformatics. 8(3). 338–338. 3 indexed citations

Huan, Jun, et al.. (2012). Biomedical text categorization with concept graph representations using a controlled vocabulary. 26–32. 9 indexed citations

10.

Fei, Hongliang & Jun Huan. (2012). Structured feature selection and task relationship inference for multi-task learning. Knowledge and Information Systems. 35(2). 345–364. 27 indexed citations

11.

Zhang, Jintao, Gerald H. Lushington, & Jun Huan. (2011). The BioAssay network and its implications to future therapeutic discovery. BMC Bioinformatics. 12(S5). S1–S1. 19 indexed citations

12.

Fei, Hongliang, Brian Quanz, & Jun Huan. (2010). Regularization and feature selection for networked features. 1893–1896. 6 indexed citations

13.

Wang, Xiaohong, et al.. (2010). Application of kernel functions for accurate similarity search in large chemical databases. BMC Bioinformatics. 11(S3). S8–S8. 4 indexed citations

14.

Fei, Hongliang, et al.. (2010). Computational prediction of toxicity. 686–691. 3 indexed citations

15.

Song, Min, et al.. (2009). CGM: A biomedical text categorization approach using concept graph mining. 38–43. 6 indexed citations

16.

Huan, Jun, et al.. (2009). GRAPH WAVELET ALIGNMENT KERNELS FOR DRUG VIRTUAL SCREENING. Journal of Bioinformatics and Computational Biology. 7(3). 473–497. 22 indexed citations

17.

Huan, Jun, et al.. (2008). GPM: A graph pattern matching kernel with diffusion for chemical compound classification. PubMed. 2008. 1–6. 20 indexed citations

18.

Bai, Yong, et al.. (2008). Development of Human Poses for the Determination of On-site Construction Productivity in Real-time. KU ScholarWorks (The University of Kansas). 6 indexed citations

19.

Huan, Jun & Weimin Ma. (2008). Contour error compensation method for computer numerical controlled non-circular grinders. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 222(9). 1189–1194. 2 indexed citations

20.

Zhang, Xiang, Wei Wang, & Jun Huan. (2007). On Demand Phenotype Ranking through Subspace Clustering. 623–628.

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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