Zhifa Liu

800 total citations
13 papers, 279 citations indexed

About

Zhifa Liu is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Zhifa Liu has authored 13 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Genetics. Recurrent topics in Zhifa Liu's work include Genetic Associations and Epidemiology (2 papers), Bioinformatics and Genomic Networks (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Zhifa Liu is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Bioinformatics and Genomic Networks (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Zhifa Liu collaborates with scholars based in United States, China and Poland. Zhifa Liu's co-authors include Zhilei Su, Shounan Lu, Wen Fu, Sheng Tai, Xingming Jiang, Stanley Pounds, John M. Hicks, Jinghui Zhang, Jingyue Zhang and Carlos Rodríguez‐Galindo and has published in prestigious journals such as Bioinformatics, Clinical Cancer Research and BMC Bioinformatics.

In The Last Decade

Zhifa Liu

12 papers receiving 274 citations

Peers

Countries citing papers authored by Zhifa Liu

Since Specialization

Citations

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

Fields of papers citing papers by Zhifa Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhifa Liu

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Continuous discrete minimum error entropy Kalman filter in non-Gaussian noises system 2024 ·Digital Signal Processing ·Zhifa Liu, (unknown), Yujie Wang, Haowei Zhang, (unknown), (unknown)	3
2	The Relationship between Work and Family Interference and Service Quality among Chinese Social Workers: The Roles of Emotional Exhaustion and Work Support 2024 ·The British Journal of Social Work ·(unknown), Jingyue Zhang, Zhifa Liu	3
3	How to cope with the impact of workplace loneliness on withdrawal behavior: the roles of trait mindfulness and servant leadership 2024 ·Current Psychology ·(unknown), (unknown), Zhifa Liu, Jingyue Zhang	5
4	LncRNA HOXA-AS2 and its molecular mechanisms in human cancer 2018 ·Clinica Chimica Acta ·(unknown), Zhilei Su, Shounan Lu, Wen Fu, Zhifa Liu, Xingming Jiang, Sheng Tai	195
5	Diagnosis and management of primary hepatic pregnancy: literature review of 31 cases 2018 ·Archives of Gynecology and Obstetrics ·(unknown), Zhilei Su, Shounan Lu, Wen Fu, Zhifa Liu, (unknown), Sheng Tai	6
6	Prognostic Significance of Major Histocompatibility Complex Class II Expression in Pediatric Adrenocortical Tumors: A St. Jude and Children's Oncology Group Study 2016 ·Clinical Cancer Research ·Emília M. Pinto, Carlos Rodríguez‐Galindo, John Choi, Stanley Pounds, Zhifa Liu, Geoffrey Neale, David Finkelstein, John M. Hicks, Alberto S. Pappo, Bonald C. Figueiredo, Raul C. Ribeiro, Gerard P. Zambetti	24
7	SVSI: Fast and Powerful Set‐Valued System Identification Approach to Identifying Rare Variants in Sequencing Studies for Ordered Categorical Traits 2015 ·Annals of Human Genetics ·Wenjian Bi, Guolian Kang, Yanlong Zhao, Yuehua Cui, Yan Song, Yun Li, Cheng Cheng, Stanley Pounds, Michael J. Borowitz, Mary V. Relling, Jun J. Yang, Zhifa Liu, Ching‐Hon Pui, Stephen P. Hunger, Christine Hartford, Wing Leung, Ji‐Feng Zhang	9
8	Dunn Index Bootstrap (DIBS): A procedure to empirically select a cluster analysis method that identifies biologically and clinically relevant molecular disease subgroups 2015 ·BMC Bioinformatics ·(unknown), Zhifa Liu, Lei Shi, Tong Lin, Tanja A. Grüber, Giles Robinson, Arzu Onar‐Thomas, Stanley Pounds	0
9	An R package that automatically collects and archives details for reproducible computing 2014 ·BMC Bioinformatics ·Zhifa Liu, Stanley Pounds	15
10	The most informative spacing test effectively discovers biologically relevant outliers or multiple modes in expression 2014 ·Bioinformatics ·(unknown), Gang Wu, Michael N. Edmonson, Zhifa Liu, Tanja A. Grüber, Jinghui Zhang, Stanley Pounds	8
11	Feature selection and prediction with a Markov blanket structure learning algorithm 2013 ·BMC Bioinformatics ·(unknown), Zhifa Liu	3
12	A genomic random interval model for statistical analysis of genomic lesion data 2013 ·Bioinformatics ·Stanley Pounds, Cheng Cheng, Shaoyu Li, Zhifa Liu, Jinghui Zhang, Charles G. Mullighan	3
13	Large Scale Association Analysis for Drug Addiction: Results from SNP to Gene 2012 ·The Scientific World JOURNAL ·Xiaobo Guo, Zhifa Liu, Xueqin Wang, Heping Zhang	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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