Renqiang Min

5.4k total citations
11 papers, 456 citations indexed

About

Renqiang Min is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Renqiang Min has authored 11 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Renqiang Min's work include RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers) and Genomics and Chromatin Dynamics (3 papers). Renqiang Min is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers) and Genomics and Chromatin Dynamics (3 papers). Renqiang Min collaborates with scholars based in Canada, United States and Hong Kong. Renqiang Min's co-authors include Zhaolei Zhang, Chao Cheng, Yi Yang, Linnan Wang, Srimat Chakradhar, Anthony J. Bonner, Jingjing Li, Yu Liu, Mark Gerstein and Tae‐Hyung Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Genome Research.

In The Last Decade

Renqiang Min

11 papers receiving 446 citations

Peers

Countries citing papers authored by Renqiang Min

Since Specialization

Citations

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

Fields of papers citing papers by Renqiang Min

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renqiang Min

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Fully convolutional structured LSTM networks for joint 4D medical image segmentation 2018 ·Yang Gao, Jeff M. Phillips, Yan Zheng, Renqiang Min, P. Thomas Fletcher, Guido Gerig	29
2	Accelerating deep neural network training with inconsistent stochastic gradient descent 2017 ·Neural Networks ·Linnan Wang, Yi Yang, Renqiang Min, Srimat Chakradhar	76
3	Understanding transcriptional regulation by integrative analysis of transcription factor binding data 2012 ·Genome Research ·Chao Cheng, Roger P. Alexander, Renqiang Min, Jing Leng, Kevin Y. Yip, Joel Rozowsky, Koon‐Kiu Yan, Xianjun Dong, Sarah Djebali, Yijun Ruan, Carrie Davis, Piero Carninci, (unknown), T Gingeras, Roderic Guigó, Ewan Birney, Zhiping Weng, M Snyder, Mark Gerstein	136
4	TIP: A probabilistic method for identifying transcription factor target genes from ChIP-seq binding profiles 2011 ·Bioinformatics ·Chao Cheng, Renqiang Min, Mark Gerstein	41
5	Exploiting the determinants of stochastic gene expression in Saccharomyces cerevisiae for genome-wide prediction of expression noise 2010 ·Proceedings of the National Academy of Sciences ·Jingjing Li, Renqiang Min, Franco J. Vizeacoumar, Ke Jin, Xiaofeng Xin, Zhaolei Zhang	26
6	Gene Expression Variability within and between Human Populations and Implications toward Disease Susceptibility 2010 ·PLoS Computational Biology ·Jingjing Li, Yu Liu, Tae‐Hyung Kim, Renqiang Min, Zhaolei Zhang	71
7	A PROBABILISTIC FRAMEWORK TO IMPROVE MICRORNA TARGET PREDICTION BY INCORPORATING PROTEOMICS DATA 2009 ·Journal of Bioinformatics and Computational Biology ·Jingjing Li, Renqiang Min, Anthony J. Bonner, Zhaolei Zhang	16
8	Learned Random-Walk Kernels and Empirical-Map Kernels for Protein Sequence Classification 2009 ·Journal of Computational Biology ·Renqiang Min, Anthony J. Bonner, Jingjing Li, Zhaolei Zhang	1
9	A Deep Non-linear Feature Mapping for Large-Margin kNN Classification 2009 ·Renqiang Min, (unknown), (unknown), Anthony J. Bonner, Zhaolei Zhang	57
10	Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery 2009 ·Renqiang Min, Rui Kuang, Anthony J. Bonner, Zhaolei Zhang	2
11	Modifying kernels using label information improves SVM classification performance 2007 ·Renqiang Min, Anthony J. Bonner, Zhaolei Zhang	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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