Yi‐Ju Tseng

1.5k total citations
64 papers, 784 citations indexed

About

Yi‐Ju Tseng is a scholar working on Artificial Intelligence, Epidemiology and Infectious Diseases. According to data from OpenAlex, Yi‐Ju Tseng has authored 64 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Epidemiology and 12 papers in Infectious Diseases. Recurrent topics in Yi‐Ju Tseng's work include Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial Identification and Susceptibility Testing (7 papers) and Artificial Intelligence in Healthcare (6 papers). Yi‐Ju Tseng is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial Identification and Susceptibility Testing (7 papers) and Artificial Intelligence in Healthcare (6 papers). Yi‐Ju Tseng collaborates with scholars based in Taiwan, United States and China. Yi‐Ju Tseng's co-authors include Hsin‐Yao Wang, Jang‐Jih Lu, Feipei Lai, Chun-Hsien Chen, Tzong-Yi Lee, Pei–Ming Yang, Ja‐Der Liang, Kenneth D. Mandl, Guan‐Tarn Huang and Min‐Hsien Wu and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Diabetes Care.

In The Last Decade

Yi‐Ju Tseng

57 papers receiving 756 citations

Peers

Countries citing papers authored by Yi‐Ju Tseng

Since Specialization

Citations

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

Fields of papers citing papers by Yi‐Ju Tseng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Ju Tseng. 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 Yi‐Ju Tseng. The network helps show where Yi‐Ju Tseng may publish in the future.

Co-authorship network of co-authors of Yi‐Ju Tseng

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Ju Tseng. A scholar is included among the top collaborators of Yi‐Ju Tseng 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 Yi‐Ju Tseng. Yi‐Ju Tseng 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	MoCab: A framework for the deployment of machine learning models across health information systems 2024 ·Computer Methods and Programs in Biomedicine ·(unknown), Kuan‐Fu Chen, Yi‐Ju Tseng	1
2	A Switched-Capacitor Cross-Correlation-Based Time-of-Flight Design for Pulsed Chaos Lidar Systems 2024 ·Yi‐Ju Tseng, (unknown), (unknown), Ping-Hsuan Hsieh, Cheng-Ting Lee, Chih‐Hao Chang, Fan-Yi Lin	0
3	Engaging a national-scale cohort of smart thermometer users in participatory surveillance 2023 ·npj Digital Medicine ·Yi‐Ju Tseng, Karen L. Olson, Danielle Bloch, Kenneth D. Mandl	1
4	Applying symptom dynamics to accurately predict influenza virus infection: An international multicenter influenza‐like illness surveillance study 2022 ·Influenza and Other Respiratory Viruses ·Jinhua Li, Chin‐Chieh Wu, Yi‐Ju Tseng, (unknown), Andrew Pekosz, Richard E. Rothman, Kuan‐Fu Chen	1
5	Clinical characteristics and outcomes of mixed virus or bacterial infection in children with laboratory-confirmed influenza infection 2022 ·Journal of the Formosan Medical Association ·Shao‐Ju Chien, Yun-Jung Hsieh, (unknown), Yi‐Ju Tseng	4
6	Developing a Stacked Ensemble-Based Classification Scheme to Predict Second Primary Cancers in Head and Neck Cancer Survivors 2021 ·International Journal of Environmental Research and Public Health ·Chi‐Chang Chang, Tse‐Hung Huang, Pei‐Wei Shueng, Ssu‐Han Chen, Chun-Chia Chen, Chi-Jie Lu, Yi‐Ju Tseng	14
7	Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study 2021 ·Journal of Medical Internet Research ·(unknown), Chun-Hsien Chen, Tsung‐Wei Huang, Jang-Jih Lu, Chia‐Ru Chung, Ting‐Wei Lin, Min‐Hsien Wu, Yi‐Ju Tseng, Hsin‐Yao Wang	15
8	Machine-learning-based predictions of direct-acting antiviral therapy duration for patients with hepatitis C 2021 ·International Journal of Medical Informatics ·(unknown), Jules L. Dienstag, Kenneth D. Mandl, Yi‐Ju Tseng	7
9	dxpr : an R package for generating analysis-ready data from electronic health records—diagnoses and procedures 2021 ·PeerJ Computer Science ·Yi‐Ju Tseng, (unknown), (unknown)	3
10	Value of the high-sensitivity troponin T assay for diagnosis of acute myocardial infarction in patients with and without renal insufficiency 2020 ·Renal Failure ·Cheng-Kai Hsu, I‐Wen Wu, Yih-Ting Chen, (unknown), Yi‐Ju Tseng, Yung‐Chang Chen, Ming‐Jui Hung, (unknown)	4
11	Incorporating Statistical Test and Machine Intelligence Into Strain Typing of Staphylococcus haemolyticus Based on Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry 2019 ·Frontiers in Microbiology ·Chia‐Ru Chung, Hsin‐Yao Wang, (unknown), Yi‐Ju Tseng, Chun‐Hsien Chen, Tzong-Yi Lee, (unknown), Jorng‐Tzong Horng, Jang‐Jih Lu	19
12	Rapid Detection of Heterogeneous Vancomycin-Intermediate Staphylococcus aureus Based on Matrix-Assisted Laser Desorption Ionization Time-of-Flight: Using a Machine Learning Approach and Unbiased Validation 2018 ·Frontiers in Microbiology ·Hsin‐Yao Wang, Chun‐Hsien Chen, Tzong-Yi Lee, Jorng‐Tzong Horng, (unknown), Yi‐Ju Tseng, Jang‐Jih Lu	41
13	Claims-Based Diagnostic Patterns of Patients Evaluated for Lyme Disease and Given Extended Antibiotic Therapy 2016 ·Vector-Borne and Zoonotic Diseases ·Yi‐Ju Tseng, Alfred DeMaria, Donald A. Goldmann, Kenneth D. Mandl	5
14	Using Nation-Wide Health Insurance Claims Data to Augment Lyme Disease Surveillance 2015 ·Vector-Borne and Zoonotic Diseases ·Yi‐Ju Tseng, Aurel Cami, Donald A. Goldmann, Alfred DeMaria, Kenneth D. Mandl	18
15	Incidence and Patterns of Extended-Course Antibiotic Therapy in Patients Evaluated for Lyme Disease 2015 ·Clinical Infectious Diseases ·Yi‐Ju Tseng, Aurel Cami, Donald A. Goldmann, Alfred DeMaria, Kenneth D. Mandl	14
16	Recurrence predictive models for patients with hepatocellular carcinoma after radiofrequency ablation using support vector machines with feature selection methods 2014 ·Computer Methods and Programs in Biomedicine ·Ja‐Der Liang, (unknown), Yi‐Ju Tseng, Guan‐Tarn Huang, Feipei Lai, Pei–Ming Yang	38
17	Web-Based Newborn Screening System for Metabolic Diseases: Machine Learning Versus Clinicians 2013 ·Journal of Medical Internet Research ·Wei‐Hsin Chen, (unknown), (unknown), (unknown), (unknown), Yi‐Ju Tseng, Yin‐Hsiu Chien, Wuh‐Liang Hwu, Feipei Lai	21
18	Information Extraction for Tracking Liver Cancer Patients' Statuses: From Mixture of Clinical Narrative Report Types 2013 ·Telemedicine Journal and e-Health ·(unknown), Yi‐Ju Tseng, Yu‐Fang Chung, Ya-Lin Wu, (unknown), Pei–Ming Yang, Guan‐Tarn Huang, Feipei Lai, Ja‐Der Liang	23
19	A Web-Based Multidrug-Resistant Organisms Surveillance and Outbreak Detection System with Rule-Based Classification and Clustering 2012 ·Journal of Medical Internet Research ·Yi‐Ju Tseng, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Feipei Lai, Yee‐Chun Chen	9
20	A Reliable User Authentication and Key Agreement Scheme for Web-Based Hospital-Acquired Infection Surveillance Information System 2011 ·Journal of Medical Systems ·Zhen-Yu Wu, Yi‐Ju Tseng, Yu‐Fang Chung, Yee‐Chun Chen, Feipei Lai	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.

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