Ming‐Hung Shih

548 total citations
33 papers, 355 citations indexed

About

Ming‐Hung Shih is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ming‐Hung Shih has authored 33 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 8 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Ming‐Hung Shih's work include Blockchain Technology Applications and Security (6 papers), Data Management and Algorithms (4 papers) and EEG and Brain-Computer Interfaces (4 papers). Ming‐Hung Shih is often cited by papers focused on Blockchain Technology Applications and Security (6 papers), Data Management and Algorithms (4 papers) and EEG and Brain-Computer Interfaces (4 papers). Ming‐Hung Shih collaborates with scholars based in Taiwan, United States and Japan. Ming‐Hung Shih's co-authors include Dong‐Her Shih, Binshan Lin, Hsiu‐Sen Chiang, P.W. Kao, Cheng-Fu Yu, C.P. Chang, Trong Duc Nguyen, Srikanta Tirthapura, David C. Yen and Divesh Srivastava and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ming‐Hung Shih

30 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Hung Shih Taiwan 11 105 72 65 62 61 33 355
Dharmesh Dhabliya India 12 87 0.8× 114 1.6× 29 0.4× 122 2.0× 27 0.4× 105 548
Ho-Jin Choi South Korea 12 142 1.4× 158 2.2× 37 0.6× 45 0.7× 35 0.6× 88 476
Chandan Kumar India 15 91 0.9× 36 0.5× 12 0.2× 20 0.3× 35 0.6× 46 504
Oswaldo Morales Matamoros Mexico 10 27 0.3× 17 0.2× 8 0.1× 37 0.6× 62 1.0× 57 408
Jing Tang China 8 58 0.6× 134 1.9× 48 0.7× 15 0.2× 24 0.4× 27 428
Xiang Gu China 9 94 0.9× 95 1.3× 16 0.2× 210 3.4× 15 0.2× 62 511
Idoko Peter Idoko Nigeria 15 114 1.1× 126 1.8× 34 0.5× 84 1.4× 13 0.2× 38 443
Jinan Zhang United States 14 41 0.4× 48 0.7× 53 0.8× 139 2.2× 13 0.2× 35 583
Yabin Wang China 11 83 0.8× 94 1.3× 10 0.2× 27 0.4× 39 0.6× 43 345
Yong‐Bin Kang Australia 11 77 0.7× 240 3.3× 14 0.2× 26 0.4× 15 0.2× 33 516

Countries citing papers authored by Ming‐Hung Shih

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Hung Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Hung Shih. 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 Ming‐Hung Shih. The network helps show where Ming‐Hung Shih may publish in the future.

Co-authorship network of co-authors of Ming‐Hung Shih

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

All Works

20 of 20 papers shown
1.
Shih, Dong‐Her, et al.. (2024). Advanced Trans-EEGNet Deep Learning Model for Hypoxic-Ischemic Encephalopathy Severity Grading. Mathematics. 12(24). 3915–3915.
2.
Shih, Dong‐Her, et al.. (2024). Classifying Dementia Severity Using MRI Radiomics Analysis of the Hippocampus and Machine Learning. IEEE Access. 12. 160030–160051. 3 indexed citations
3.
Tsai, Cheng-Han, et al.. (2024). Analyzing Monthly Blood Test Data to Forecast 30-Day Hospital Readmissions among Maintenance Hemodialysis Patients. Journal of Clinical Medicine. 13(8). 2283–2283. 2 indexed citations
4.
Shih, Dong‐Her, et al.. (2024). Infodemiology of Influenza-like Illness: Utilizing Google Trends’ Big Data for Epidemic Surveillance. Journal of Clinical Medicine. 13(7). 1946–1946. 2 indexed citations
5.
Shih, Dong‐Her, et al.. (2024). Advanced Trans-BiGRU-QA Fusion Model for Atmospheric Mercury Prediction. Mathematics. 12(22). 3547–3547.
6.
Shih, Dong‐Her, et al.. (2023). Distinguishing Bladder Cancer from Cystitis Patients Using Deep Learning. Mathematics. 11(19). 4118–4118. 3 indexed citations
7.
Shih, Dong‐Her, et al.. (2022). A Novel βSA Ensemble Model for Forecasting the Number of Confirmed COVID-19 Cases in the US. Mathematics. 10(5). 824–824. 2 indexed citations
8.
Shih, Dong‐Her, et al.. (2022). Cluster Analysis of US COVID-19 Infected States for Vaccine Distribution. Healthcare. 10(7). 1235–1235. 2 indexed citations
9.
Shih, Dong‐Her, et al.. (2022). An International Federal Hyperledger Fabric Verification Framework for Digital COVID-19 Vaccine Passport. Healthcare. 10(10). 1950–1950. 3 indexed citations
10.
Shih, Dong‐Her, et al.. (2022). WSI: A New Early Warning Water Survival Index for the Domestic Water Demand. Mathematics. 10(23). 4478–4478. 1 indexed citations
11.
Shih, Dong‐Her, et al.. (2021). A Novel Auction Blockchain System with Price Recommendation and Trusted Execution Environment. Mathematics. 9(24). 3214–3214. 3 indexed citations
12.
Nguyen, Trong Duc, Ming‐Hung Shih, Divesh Srivastava, Srikanta Tirthapura, & Bojian Xu. (2020). Stratified random sampling from streaming and stored data. Distributed and Parallel Databases. 39(3). 665–710. 53 indexed citations
13.
Shih, Ming‐Hung & J. Morris Chang. (2017). Design and analysis of high performance crypt-NoSQL. 52–59. 2 indexed citations
14.
Shih, Dong‐Her, et al.. (2015). Personal mobility pattern mining and anomaly detection in the GPS era. Cartography and Geographic Information Science. 43(1). 55–67. 15 indexed citations
15.
Shih, Dong‐Her, et al.. (2015). A flick biometric authentication mechanism on mobile devices. 31–33. 15 indexed citations
16.
Shih, Dong‐Her, et al.. (2014). A robust copyright and ownership protection mechanism for music. Multimedia Tools and Applications. 74(18). 7489–7514. 2 indexed citations
17.
Shih, Dong‐Her, Hsiu‐Sen Chiang, & Ming‐Hung Shih. (2013). ECG identification of arrhythmias by using an associative Petri net. 31. 1–2. 1 indexed citations
18.
Shih, Dong‐Her, et al.. (2011). An implementation and evaluation of recommender systems for traveling abroad. Expert Systems with Applications. 14 indexed citations
19.
Shih, Dong‐Her, Binshan Lin, Hsiu‐Sen Chiang, & Ming‐Hung Shih. (2008). Security aspects of mobile phone virus: a critical survey. Industrial Management & Data Systems. 108(4). 478–494. 55 indexed citations
20.
Shih, Ming‐Hung, Cheng-Fu Yu, P.W. Kao, & C.P. Chang. (2001). Microstructure and flow stress of copper deformed to large plastic strains. Scripta Materialia. 45(7). 793–799. 67 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026