Kun-Ta Chuang

814 total citations
53 papers, 492 citations indexed

About

Kun-Ta Chuang is a scholar working on Signal Processing, Information Systems and Artificial Intelligence. According to data from OpenAlex, Kun-Ta Chuang has authored 53 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Signal Processing, 19 papers in Information Systems and 18 papers in Artificial Intelligence. Recurrent topics in Kun-Ta Chuang's work include Data Management and Algorithms (20 papers), Data Mining Algorithms and Applications (15 papers) and Advanced Clustering Algorithms Research (8 papers). Kun-Ta Chuang is often cited by papers focused on Data Management and Algorithms (20 papers), Data Mining Algorithms and Applications (15 papers) and Advanced Clustering Algorithms Research (8 papers). Kun-Ta Chuang collaborates with scholars based in Taiwan, United States and Luxembourg. Kun-Ta Chuang's co-authors include Ming-Syan Chen⋆, Jiun‐Long Huang, Jun Huang, Shan-Hung Wu, Yu‐Chen Shu, Wen‐Chien Ko, Po‐Lin Chen, Nai‐Ying Ko, Jen-Wei Huang and De-Nian Yang and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Kun-Ta Chuang

50 papers receiving 456 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kun-Ta Chuang Taiwan	14	195	140	109	106	87	53	492
Zhenhua Tan China	12	207 1.1×	238 1.7×	95 0.9×	30 0.3×	183 2.1×	79	616
Mohan Timilsina Ireland	11	227 1.2×	72 0.5×	24 0.2×	40 0.4×	83 1.0×	34	433
Jianneng Cao Singapore	16	639 3.3×	141 1.0×	50 0.5×	40 0.4×	121 1.4×	33	1.0k
Pranjal Awasthi United States	14	274 1.4×	37 0.3×	64 0.6×	52 0.5×	62 0.7×	46	438
Robin Senge Germany	11	306 1.6×	91 0.7×	79 0.7×	55 0.5×	23 0.3×	18	531
Souptik Datta United States	7	648 3.3×	159 1.1×	76 0.7×	104 1.0×	262 3.0×	12	856
Akhilesh Tiwari India	11	268 1.4×	84 0.6×	66 0.6×	42 0.4×	72 0.8×	43	662
Hongxing He Australia	10	278 1.4×	103 0.7×	36 0.3×	52 0.5×	55 0.6×	30	542
Ron Rymon United States	7	224 1.1×	183 1.3×	24 0.2×	93 0.9×	37 0.4×	20	437

Countries citing papers authored by Kun-Ta Chuang

Since Specialization

Citations

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

Fields of papers citing papers by Kun-Ta Chuang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun-Ta Chuang. 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 Kun-Ta Chuang. The network helps show where Kun-Ta Chuang may publish in the future.

Co-authorship network of co-authors of Kun-Ta Chuang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun-Ta Chuang. A scholar is included among the top collaborators of Kun-Ta Chuang 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 Kun-Ta Chuang. Kun-Ta Chuang 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

Chuang, Kun-Ta, et al.. (2024). Online Spatial-Temporal EV Charging Scheduling with Incentive Promotion. ACM Transactions on Intelligent Systems and Technology. 15(5). 1–26.

Chuang, Kun-Ta, Yu‐Chen Shu, Hung‐Yu Kao, et al.. (2021). An Innovative Wearable Device For Monitoring Continuous Body Surface Temperature (HEARThermo): Instrument Validation Study. JMIR mhealth and uhealth. 9(2). e19210–e19210. 8 indexed citations

Shu, Yu‐Chen, Kun-Ta Chuang, Chang‐Chun Chen, et al.. (2020). Continuous temperature monitoring by a wearable device for early detection of febrile events in the SARS-CoV-2 outbreak in Taiwan, 2020. Journal of Microbiology Immunology and Infection. 53(3). 503–504. 18 indexed citations

Wang, Suhang, et al.. (2020). Learning Latent Perception Graphs for Personalized Unknowns Recommendation. 9. 32–41. 1 indexed citations

Chuang, Kun-Ta, et al.. (2019). Trajectories of hepatic and coagulation dysfunctions related to a rapidly fatal outcome among hospitalized patients with dengue fever in Tainan, 2015. PLoS neglected tropical diseases. 13(12). e0007817–e0007817. 13 indexed citations

Yeh, Mi-Yen, et al.. (2018). Worship prediction: identify followers in celebrity-dived networks. World Wide Web. 22(1). 347–373. 1 indexed citations

Chen, Po‐Lin, Kun-Ta Chuang, Yu‐Chen Shu, et al.. (2017). Symptoms associated with adverse dengue fever prognoses at the time of reporting in the 2015 dengue outbreak in Taiwan. PLoS neglected tropical diseases. 11(12). e0006091–e0006091. 28 indexed citations

Yeh, Mi-Yen, et al.. (2017). Node reactivation model to intensify influence on network targets. Knowledge and Information Systems. 54(3). 567–590. 2 indexed citations

Chuang, Kun-Ta, et al.. (2017). Mining spatio-temporal chaining patterns in non-identity event databases. Intelligent Data Analysis. 21. S71–S102. 3 indexed citations

10.

Hsieh, Pei‐Hsuan, et al.. (2016). On Instant Knowledge Evolution from Learning User Search Intent. 562–569. 1 indexed citations

11.

Chen, Ying‐Ju, Kun-Ta Chuang, & Ming-Syan Chen⋆. (2011). Coupling or decoupling for KNN search on road networks?. 795–804. 1 indexed citations

12.

Huang, Jen-Wei, et al.. (2008). Density Conscious Subspace Clustering for High-Dimensional Data. IEEE Transactions on Knowledge and Data Engineering. 22(1). 16–30. 34 indexed citations

13.

Chuang, Kun-Ta, et al.. (2008). On Data Labeling for Clustering Categorical Data. IEEE Transactions on Knowledge and Data Engineering. 20(11). 1458–1472. 43 indexed citations

14.

Chuang, Kun-Ta, et al.. (2007). Efficient Process of Top-k Range-Sum Queries over Multiple Streams with Minimized Global Error. IEEE Transactions on Knowledge and Data Engineering. 19(10). 1404–1419. 2 indexed citations

15.

Chuang, Kun-Ta, Keng‐Pei Lin, & Ming-Syan Chen⋆. (2007). Quality-Aware Sampling and Its Applications in Incremental Data Mining. IEEE Transactions on Knowledge and Data Engineering. 19(4). 468–484. 4 indexed citations

16.

Chuang, Kun-Ta, Jiun‐Long Huang, & Ming-Syan Chen⋆. (2007). Mining top-k frequent patterns in the presence of the memory constraint. The VLDB Journal. 17(5). 1321–1344. 41 indexed citations

17.

Chuang, Kun-Ta, Jiun‐Long Huang, & Ming-Syan Chen⋆. (2007). Power-law relationship and self-similarity in the itemset support distribution: analysis and applications. The VLDB Journal. 17(5). 1121–1141. 11 indexed citations

18.

Chuang, Kun-Ta, et al.. (2006). Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values. NTUR (臺灣機構典藏). 106–113. 13 indexed citations

19.

Chuang, Kun-Ta, et al.. (2004). Clustering item data sets with association-taxonomy similarity. NTUR (臺灣機構典藏). 697–700. 1 indexed citations

20.

Chuang, Kun-Ta, et al.. (2004). Adherence clustering: an efficient method for mining market-basket clusters. Information Systems. 31(3). 170–186. 13 indexed citations

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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