Kung-Min Wang

492 total citations
7 papers, 206 citations indexed

About

Kung-Min Wang is a scholar working on Artificial Intelligence, Health Information Management and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kung-Min Wang has authored 7 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Health Information Management and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kung-Min Wang's work include Imbalanced Data Classification Techniques (3 papers), Artificial Intelligence in Healthcare (2 papers) and Statistical Methods in Clinical Trials (2 papers). Kung-Min Wang is often cited by papers focused on Imbalanced Data Classification Techniques (3 papers), Artificial Intelligence in Healthcare (2 papers) and Statistical Methods in Clinical Trials (2 papers). Kung-Min Wang collaborates with scholars based in Taiwan, Thailand and United States. Kung-Min Wang's co-authors include Kung‐Jeng Wang, Kun‐Huang Chen and Gwo‐Chi Hu and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Applied Soft Computing and Computer Methods and Programs in Biomedicine.

In The Last Decade

Kung-Min Wang

7 papers receiving 200 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kung-Min Wang Taiwan	5	133	63	38	19	16	7	206
Nikos Fazakis Greece	9	191 1.4×	91 1.4×	19 0.5×	19 1.0×	10 0.6×	25	318
S. Paredes Portugal	10	113 0.8×	77 1.2×	29 0.8×	17 0.9×	10 0.6×	48	314
Fahima A. Maghraby Egypt	8	138 1.0×	43 0.7×	28 0.7×	14 0.7×	22 1.4×	22	233
Sakyajit Bhattacharya India	11	108 0.8×	40 0.6×	23 0.6×	4 0.2×	15 0.9×	25	286
Sashikanta Prusty India	6	80 0.6×	20 0.3×	37 1.0×	18 0.9×	10 0.6×	22	213
Ahmed Abdullah Alqarni Saudi Arabia	8	138 1.0×	103 1.6×	65 1.7×	15 0.8×	10 0.6×	19	350
Kelwin Fernandes Portugal	9	168 1.3×	33 0.5×	33 0.9×	8 0.4×	6 0.4×	18	270
Michele Bernardini Italy	8	162 1.2×	135 2.1×	39 1.0×	40 2.1×	11 0.7×	15	358
Małgorzata Bach Poland	6	116 0.9×	33 0.5×	10 0.3×	40 2.1×	17 1.1×	15	212
Pankaj Chittora India	3	125 0.9×	139 2.2×	22 0.6×	10 0.5×	4 0.3×	3	254

Countries citing papers authored by Kung-Min Wang

Since Specialization

Citations

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

Fields of papers citing papers by Kung-Min Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kung-Min Wang. 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 Kung-Min Wang. The network helps show where Kung-Min Wang may publish in the future.

Co-authorship network of co-authors of Kung-Min Wang

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

All Works

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7 of 7 papers shown

1.

Wang, Kung‐Jeng, et al.. (2021). Benchmarking prognosis methods for survivability – A case study for patients with contingent primary cancers. Computers in Biology and Medicine. 138. 104888–104888. 4 indexed citations

2.

Wang, Kung-Min, et al.. (2020). Survivability modelling using Bayesian network for patients with first and secondary primary cancers. Computer Methods and Programs in Biomedicine. 196. 105686–105686. 6 indexed citations

3.

Wang, Kung‐Jeng, et al.. (2020). Stroke to Dementia Associated with Environmental Risks—A Semi-Markov Model. International Journal of Environmental Research and Public Health. 17(6). 1944–1944. 4 indexed citations

4.

Wang, Kung‐Jeng, et al.. (2015). Probabilistic modeling of short survivability in patients with brain metastasis from lung cancer. Computer Methods and Programs in Biomedicine. 119(3). 142–162. 18 indexed citations

5.

Wang, Kung‐Jeng, et al.. (2014). Modeling and predicting the occurrence of brain metastasis from lung cancer by Bayesian network: A case study of Taiwan. Computers in Biology and Medicine. 47. 147–160. 35 indexed citations

6.

Wang, Kung‐Jeng, et al.. (2013). A hybrid classifier combining SMOTE with PSO to estimate 5-year survivability of breast cancer patients. Applied Soft Computing. 20. 15–24. 104 indexed citations

7.

Wang, Kung‐Jeng, et al.. (2013). An improved survivability prognosis of breast cancer by using sampling and feature selection technique to solve imbalanced patient classification data. BMC Medical Informatics and Decision Making. 13(1). 124–124. 35 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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