Feng Shi

554 total citations
62 papers, 311 citations indexed

About

Feng Shi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Feng Shi has authored 62 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 13 papers in Industrial and Manufacturing Engineering. Recurrent topics in Feng Shi's work include Machine Learning in Bioinformatics (19 papers), Genomics and Phylogenetic Studies (13 papers) and Vehicle Routing Optimization Methods (10 papers). Feng Shi is often cited by papers focused on Machine Learning in Bioinformatics (19 papers), Genomics and Phylogenetic Studies (13 papers) and Vehicle Routing Optimization Methods (10 papers). Feng Shi collaborates with scholars based in China, United States and Australia. Feng Shi's co-authors include Xiaohui Niu, Jianxin Wang, Jingbo Xia, Jing Huang, Jianer Chen, Xuehai Hu, Frank Neumann, Qilong Feng, Nana Li and Nana Li and has published in prestigious journals such as Food Chemistry, Expert Systems with Applications and Journal of Theoretical Biology.

In The Last Decade

Feng Shi

58 papers receiving 303 citations

Peers

Countries citing papers authored by Feng Shi

Since Specialization

Citations

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

Fields of papers citing papers by Feng Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Shi

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Microbiomics and machine learning-assisted approaches reveal amino acid patterns in high-temperature Daqu 2025 ·Food Chemistry ·(unknown), (unknown), Qing He, Shuang Xing, Peng Chen, Feng Shi, Zhiguo Liu, (unknown), Liangcai Lin, Cuiying Zhang	1
2	PheSeq, a Bayesian deep learning model to enhance and interpret the gene-disease association studies 2024 ·Genome Medicine ·(unknown), (unknown), (unknown), (unknown), Xionghui Zhou, (unknown), Xuehai Hu, Feng Shi, Jingbo Xia	4
3	The discrepancy in amino acids within high-temperature Daqu: A novel metabolic marker for the quality evaluation of Daqu 2024 ·Food Chemistry ·Shuang Xing, (unknown), Jun Lü, (unknown), Changwen Li, Shuai Yuan, Feng Shi, Liangcai Lin, Cuiying Zhang	11
4	Teachers’ Perceived Value, Challenges, and Advice for Implementing Computational Thinking in Elementary Classrooms 2022 ·Feng Shi, Dazhi Yang	2
5	A Collaborative Approach to Integrate Computational Thinking in an Integrated STEM Curriculum 2022 ·Dazhi Yang, Feng Shi	0
6	Time complexity analysis of evolutionary algorithms for 2-hop (1,2)-minimum spanning tree problem 2021 ·Theoretical Computer Science ·Feng Shi, Frank Neumann, Jianxin Wang	3
7	Fixed-parameter tractability for minimum tree cut/paste distance and minimum common integer partition 2019 ·Theoretical Computer Science ·(unknown), Feng Shi, Jianxin Wang, Qilong Feng	0
8	Learn About Wilks’ Lambda in SPSS With Data From the Global Health Observatory (2016) 2019 ·Feng Shi	2
9	Kernelization and parameterized algorithms for covering a tree by a set of stars or paths 2015 ·Theoretical Computer Science ·(unknown), Jianxin Wang, Qilong Feng, Feng Shi	2
10	Factors Influencing Mechanism of Construction Development Transformation in China Based on SEM 2015 ·Discrete Dynamics in Nature and Society ·(unknown), Zhongfu Li, Feng Shi	9
11	Algorithms for parameterized maximum agreement forest problem on multiple trees 2014 ·Theoretical Computer Science ·Feng Shi, Jianxin Wang, Jianer Chen, Qilong Feng, Jiong Guo	6
12	Predicting DNA binding proteins using support vector machine with hybrid fractal features 2013 ·Journal of Theoretical Biology ·Xiaohui Niu, Xuehai Hu, Feng Shi, Jingbo Xia	19
13	Distances between phylogenetic trees: A survey 2013 ·Tsinghua Science & Technology ·Feng Shi, Qilong Feng, Jianer Chen, Lusheng Wang, Jianxin Wang	3
14	Using the concept of pseudo amino acid composition to predict resistance gene against Xanthomonas oryzae pv. oryzae in rice: An approach from chaos games representation 2011 ·Journal of Theoretical Biology ·Jingbo Xia, Silan Zhang, Feng Shi, (unknown), (unknown), Xiaohui Niu, Zhi Li	17
15	Chaos Game Representation for Discriminating Thermophilic from Mesophilic Protein Sequences 2009 ·Xuehai Hu, Jingbo Xia, Xiaohui Niu, (unknown), (unknown), Feng Shi	3
16	A novel method to reconstruct phylogeny tree based on thechaos game representation 2009 ·Journal of Biomedical Science and Engineering ·Nana Li, Feng Shi, Xiaohui Niu, Jingbo Xia	5
17	Hilbert Huang Transform for Predicting Proteins Subcellular Location 2008 ·Journal of Biomedical Science and Engineering ·Feng Shi, (unknown), Nana Li	13
18	Hilbert Huang Transform for Predicting Apoptosis Proteins Types 2007 ·Feng Shi, (unknown), Nana Li	1
19	Support Vector Machines for Predicting Apoptosis Proteins Types 2005 ·Acta Biotheoretica ·Jing Huang, Feng Shi	21
20	The density of a maximum minimal cut in the subset lattice of a finite set is almost one 1993 ·Discrete Mathematics ·Feng Shi, (unknown)	5

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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