Vincent S. Tseng

8.9k total citations · 3 hit papers
240 papers, 5.5k citations indexed

About

Vincent S. Tseng is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Vincent S. Tseng has authored 240 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Information Systems, 81 papers in Artificial Intelligence and 72 papers in Signal Processing. Recurrent topics in Vincent S. Tseng's work include Data Mining Algorithms and Applications (101 papers), Rough Sets and Fuzzy Logic (64 papers) and Data Management and Algorithms (45 papers). Vincent S. Tseng is often cited by papers focused on Data Mining Algorithms and Applications (101 papers), Rough Sets and Fuzzy Logic (64 papers) and Data Management and Algorithms (45 papers). Vincent S. Tseng collaborates with scholars based in Taiwan, United States and China. Vincent S. Tseng's co-authors include Philip S. Yu, Chengwei Wu, Bai En Shie, Tzung‐Pei Hong, Philippe Fournier‐Viger, Eric Hsueh-Chan Lu, Jerry Chun‐Wei Lin, Guo-Cheng Lan, Ja-Hwung Su and Chun-Hao Chen and has published in prestigious journals such as Nucleic Acids Research, Circulation and Bioinformatics.

In The Last Decade

Vincent S. Tseng

227 papers receiving 5.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases

2012 380 citations Vincent S. Tseng et al. profile →
UP-Growth

2010 300 citations Vincent S. Tseng et al. profile →
Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis

2017 281 citations Peng‐Jen Chen, Jung-Chun Lin et al. Gastroenterology profile →

Peers

Countries citing papers authored by Vincent S. Tseng

Since Specialization

Citations

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

Fields of papers citing papers by Vincent S. Tseng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent S. 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 Vincent S. Tseng. The network helps show where Vincent S. Tseng may publish in the future.

Co-authorship network of co-authors of Vincent S. Tseng

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent S. Tseng. A scholar is included among the top collaborators of Vincent S. 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 Vincent S. Tseng. Vincent S. 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	Efficient genome sequence compression via the fusion of MDL-based heuristics 2025 ·Information Fusion ·(unknown), M. Saqib Nawaz, Philippe Fournier‐Viger, (unknown), Jerry Chun‐Wei Lin, Vincent S. Tseng	1
2	Predicting Longitudinal Visual Field Progression With Class Imbalanced Data 2025 ·IEEE Journal of Biomedical and Health Informatics ·Ling Chen, (unknown), Wei Wang, Da‐Wen Lu, Vincent S. Tseng	0
3	Rapid and noninvasive estimation of human arsenic exposure based on 4-photo-set of the hand and foot photos through artificial intelligence 2024 ·Journal of Hazardous Materials ·(unknown), (unknown), (unknown), Vincent S. Tseng, Chih‐Hung Lee	1
4	Periodic Transformer Encoder for Multi-Horizon Travel Time Prediction 2024 ·Electronics ·(unknown), Vincent S. Tseng	1
5	Evaluating a Natural Language Processing–Driven, AI-Assisted International Classification of Diseases, 10th Revision, Clinical Modification, Coding System for Diagnosis Related Groups in a Real Hospital Environment: Algorithm Development and Validation Study 2024 ·Journal of Medical Internet Research ·Hong-Jie Dai, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), William Yu Chung Wang, (unknown), (unknown), Hao-Yun Kao, Ming‐Ju Tsai, Vincent S. Tseng	7
6	Automatic 3D left atrial strain extraction framework on cardiac computed tomography 2024 ·Computer Methods and Programs in Biomedicine ·Ling Chen, (unknown), (unknown), Vincent S. Tseng, HSUAN‐MING TSAO, (unknown)	0
7	An MDL-Based Genetic Algorithm for Genome Sequence Compression 2024 ·(unknown), M. Saqib Nawaz, Philippe Fournier‐Viger, Vincent S. Tseng	1
8	Artificial Intelligence–Enabled Model for Early Detection of Left Ventricular Hypertrophy and Mortality Prediction in Young to Middle-Aged Adults 2022 ·Circulation Cardiovascular Quality and Outcomes ·Chih‐Min Liu, (unknown), Yu‐Feng Hu, (unknown), I‐Chien Wu, Pei‐Fen Chen, Yenn‐Jiang Lin, Satoshi Higa, (unknown), Shih‐Ann Chen, Vincent S. Tseng	12
9	Deep Learning Approach in Image Diagnosis of Pseudomonas Keratitis 2022 ·Diagnostics ·Ming‐Tse Kuo, (unknown), Yi Lin, Po‐Chiung Fang, Hun-Ju Yu, Yu‐Ting Hsiao, Vincent S. Tseng	8
10	GAWD 2021 ·(unknown), Hung T. Nguyen, (unknown), Vincent S. Tseng, Leman Akoglu	6
11	Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis breakdown → 2017 ·Gastroenterology ·Peng‐Jen Chen, (unknown), (unknown), Jung-Chun Lin, Henry Horng‐Shing Lu, Vincent S. Tseng	281
12	Mining Disease Risk Patterns from Nationwide Clinical Databases for the Assessment of Early Rheumatoid Arthritis Risk 2015 ·PLoS ONE ·(unknown), (unknown), (unknown), (unknown), Yea Huei Kao Yang, Vincent S. Tseng	20
13	Advances in knowledge discovery and data mining : 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I 2014 ·Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) ·Vincent S. Tseng	6
14	Mining differential top-k co-expression patterns from time course comparative gene expression datasets 2013 ·BMC Bioinformatics ·(unknown), (unknown), Vincent S. Tseng	24
15	Advances in knowledge discovery and data mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013 : proceedings 2013 ·Springer eBooks ·Jian Pei, Vincent S. Tseng, Longbing Cao, (unknown), Guandong Xu	1
16	Malignant pleural effusion cells show aberrant glucose metabolism gene expression 2010 ·European Respiratory Journal ·Chien‐Chung Lin, (unknown), Vincent S. Tseng, Jing Yan, Wu‐Wei Lai, Wen‐Pin Su, Chen‐Sung Lin, Chi‐Ying F. Huang, Wu‐Chou Su	22
17	A New Method for Image Classification by Using Multilevel Association Rules 2005 ·Vincent S. Tseng, (unknown), Ja-Hwung Su	27
18	Efficiently Mining Gene Expression Data via a Novel Parameterless Clustering Method 2005 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Vincent S. Tseng, (unknown)	88
19	Design of an Integrated and Effective Platform for Gene Expression Data Mining 2004 ·Vincent S. Tseng, (unknown), (unknown)	1
20	Microprocessor development and development systems 1982 ·Vincent S. Tseng	4

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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