Hansi Zhang

687 total citations
28 papers, 379 citations indexed

About

Hansi Zhang is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Hansi Zhang has authored 28 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Artificial Intelligence and 5 papers in Statistics and Probability. Recurrent topics in Hansi Zhang's work include Biomedical Text Mining and Ontologies (16 papers), Semantic Web and Ontologies (7 papers) and Statistical Methods in Clinical Trials (5 papers). Hansi Zhang is often cited by papers focused on Biomedical Text Mining and Ontologies (16 papers), Semantic Web and Ontologies (7 papers) and Statistical Methods in Clinical Trials (5 papers). Hansi Zhang collaborates with scholars based in United States, China and Australia. Hansi Zhang's co-authors include Jiang Bian, Yi Guo, Xing He, Mattia Prosperi, Xi Yang, Yonghui Wu, Thomas J. George, Elizabeth Shenkman, François Modave and Zhe He and has published in prestigious journals such as Nature Communications, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Hansi Zhang

28 papers receiving 366 citations

Peers

Countries citing papers authored by Hansi Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Hansi Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hansi Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Hansi Zhang. A scholar is included among the top collaborators of Hansi Zhang 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 Hansi Zhang. Hansi Zhang 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

#	Work	Indexed citations
1	Parsing Clinical Trial Eligibility Criteria for Cohort Query by a Multi-Input Multi-Output Sequence Labeling Model 2023 ·PubMed ·Shubo Tian, Pengfei Yin, Hansi Zhang, (unknown), Jiang Bian, Zhe He	2
2	Machine learning enabled subgroup analysis with real-world data to inform clinical trial eligibility criteria design 2023 ·Scientific Reports ·Jie Xu, Hao Zhang, Hansi Zhang, Jiang Bian, Fei Wang	7
3	High-throughput target trial emulation for Alzheimer’s disease drug repurposing with real-world data 2023 ·Nature Communications ·Chengxi Zang, Hao Zhang, Jie Xu, Hansi Zhang, (unknown), (unknown), Feixiong Cheng, Kun Chen, Yong Chen, Benjamin S. Glicksberg, Jin Chen, Jiang Bian, Fei Wang	29
4	Electrically Driven Lower Limb Exoskeleton Rehabilitation Robot Based on Anthropomorphic Design 2022 ·Machines ·(unknown), Zhanli Wang, (unknown), (unknown), Jing Li, Shuang Li, Hansi Zhang	31
5	Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer’s disease and related dementias 2022 ·International Journal of Medical Informatics ·Zhaoyi Chen, Hansi Zhang, Xi Yang, (unknown), Xing He, Jie Xu, Jingchuan Guo, Mattia Prosperi, (unknown), Hua Xu, Yong Chen, Hui Hu, Steven T. DeKosky, Matthew J. Farrer, Yi Guo, Yonghui Wu, Jiang Bian	11
6	A scoping review of semantic integration of health data and information 2022 ·International Journal of Medical Informatics ·Hansi Zhang, Tianchen Lyu, Pengfei Yin, (unknown), Xing He, Yi Guo, Mattia Prosperi, (unknown), Jiang Bian	7
7	A high-precision apparatus for dimensional characterization of highly stable materials in space applications 2021 ·Mechanics of Advanced Materials and Structures ·(unknown), Hansi Zhang, Chuang Xue, (unknown)	4
8	Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer’s disease 2021 ·npj Digital Medicine ·Zhaoyi Chen, Hansi Zhang, Yi Guo, Thomas J. George, Mattia Prosperi, William R. Hogan, Zhe He, Elizabeth Shenkman, Fei Wang, Jiang Bian	23
9	Semantic standards of external exposome data 2021 ·Environmental Research ·Hansi Zhang, Hui Hu, (unknown), William R. Hogan, Mattia Prosperi, Yi Guo, Jiang Bian	18
10	Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models 2020 ·JMIR Medical Informatics ·Xi Yang, Xing He, Hansi Zhang, (unknown), Jiang Bian, Yonghui Wu	30
11	User-centered design of a web-based crowdsourcing-integrated semantic text annotation tool for building a mental health knowledge base 2020 ·Journal of Biomedical Informatics ·Xing He, Hansi Zhang, Jiang Bian	14
12	Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models 2020 ·JMIR Medical Informatics ·Xi Yang, Hansi Zhang, Xing He, Jiang Bian, Yonghui Wu	18
13	An ontology-based documentation of data discovery and integration process in cancer outcomes research 2020 ·BMC Medical Informatics and Decision Making ·Hansi Zhang, Yi Guo, Mattia Prosperi, Jiang Bian	9
14	Mining Twitter to assess the determinants of health behavior toward human papillomavirus vaccination in the United States 2019 ·Journal of the American Medical Informatics Association ·Hansi Zhang, Christopher W. Wheldon, Adam G. Dunn, Cui Tao, Jinhai Huo, Rui Zhang, Mattia Prosperi, Yi Guo, Jiang Bian	36
15	Aero: An Evidence-based Semantic Web Knowledge Base of Cancer Behavioral Risk Factors. 2019 ·Hansi Zhang, Xing He, Tyler R. Harrison, Jiang Bian	2
16	STAT: A Web-based Semantic Text Annotation Tool to Assist Building Mental Health Knowledge Base 2019 ·PubMed ·Xing He, Hansi Zhang, Xi Yang, Yi Guo, Jiang Bian	1
17	An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival 2018 ·BMC Medical Informatics and Decision Making ·Hansi Zhang, Yi Guo, Qian Li, Thomas J. George, Elizabeth Shenkman, François Modave, Jiang Bian	39
18	OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system 2018 ·BMC Medical Informatics and Decision Making ·Juan Antonio Lossio-Ventura, William R. Hogan, François Modave, Yi Guo, Zhe He, Xi Yang, Hansi Zhang, Jiang Bian	12
19	Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch Syndrome 2017 ·Journal of Medical Internet Research ·Jiang Bian, Yunpeng Zhao, Ramzi G. Salloum, Yi Guo, Mo Wang, Mattia Prosperi, Hansi Zhang, (unknown), (unknown), Zhe He, Yuan Sun	32
20	Data integration through ontology-based data access to support integrative data analysis: A case study of cancer survival 2017 ·PubMed ·Hansi Zhang, Yi Guo, Qian Li, Thomas J. George, Elizabeth Shenkman, Jiang Bian	12

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