Ming‐Chao Chiang

2.0k total citations · 1 hit paper
83 papers, 1.3k citations indexed

About

Ming‐Chao Chiang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ming‐Chao Chiang has authored 83 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 24 papers in Computer Networks and Communications and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ming‐Chao Chiang's work include Metaheuristic Optimization Algorithms Research (27 papers), Advanced Clustering Algorithms Research (14 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). Ming‐Chao Chiang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (27 papers), Advanced Clustering Algorithms Research (14 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). Ming‐Chao Chiang collaborates with scholars based in Taiwan, United States and China. Ming‐Chao Chiang's co-authors include Chun‐Wei Tsai, Laurence T. Yang, Chin‐Feng Lai, Chu‐Sing Yang, Terrance E. Boult, Weicheng Huang, Tzung‐Pei Hong, Shih-Pang Tseng, Min Chen and Jerry Chun‐Wei Lin and has published in prestigious journals such as Computers in Human Behavior, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Ming‐Chao Chiang

78 papers receiving 1.2k citations

Hit Papers

Data Mining for Internet of Things: A Survey 2014 2026 2018 2022 2014 100 200 300 400
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.

  1. Data Mining for Internet of Things: A Survey
    2014 424 citations Chun‐Wei Tsai, Ming‐Chao Chiang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Chao Chiang Taiwan 16 541 436 337 269 157 83 1.3k
P. Dhavachelvan India 24 727 1.3× 527 1.2× 564 1.7× 188 0.7× 314 2.0× 124 1.6k
Benjamin Moseley United States 15 611 1.1× 594 1.4× 326 1.0× 278 1.0× 79 0.5× 89 1.3k
Homayun Motameni Iran 20 449 0.8× 397 0.9× 392 1.2× 338 1.3× 162 1.0× 115 1.3k
Daya Gupta India 20 556 1.0× 497 1.1× 569 1.7× 123 0.5× 217 1.4× 116 1.2k
Ahmad Sharieh Jordan 16 487 0.9× 627 1.4× 191 0.6× 137 0.5× 128 0.8× 70 1.2k
I‐Ling Yen United States 23 908 1.7× 569 1.3× 971 2.9× 181 0.7× 131 0.8× 198 1.8k
Quanwang Wu China 24 659 1.2× 879 2.0× 731 2.2× 312 1.2× 139 0.9× 64 1.7k
Rong‐Jian Chen Taiwan 17 403 0.7× 613 1.4× 307 0.9× 609 2.3× 165 1.1× 59 1.7k
Shingo Yamaguchi Japan 14 545 1.0× 388 0.9× 526 1.6× 173 0.6× 108 0.7× 186 1.2k
Christian Prehofer Germany 20 937 1.7× 398 0.9× 281 0.8× 130 0.5× 481 3.1× 121 1.5k

Countries citing papers authored by Ming‐Chao Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chao Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Chao Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Chao Chiang. A scholar is included among the top collaborators of Ming‐Chao Chiang 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‐Chao Chiang. Ming‐Chao Chiang 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.
Chen, Huan, et al.. (2023). SEFSD: an effective deployment algorithm for fog computing systems. Journal of Cloud Computing Advances Systems and Applications. 12(1). 4 indexed citations
2.
Tsai, Chun‐Wei, et al.. (2020). A Multiple-Search Multi-Start Framework for Metaheuristics for Clustering Problems. IEEE Access. 8. 96173–96183. 7 indexed citations
3.
Tsai, Chun‐Wei, et al.. (2020). An Effective Algorithm based on Search Economics for Multi-Objective Optimization. 1–6. 1 indexed citations
4.
Tsai, Chun‐Wei, et al.. (2017). A highly efficient method for improving the performance of GLA-based algorithms. Journal of Visual Communication and Image Representation. 50. 290–302. 2 indexed citations
5.
Tsai, Chun‐Wei, et al.. (2016). Metaheuristic Algorithms for Healthcare: Open Issues and Challenges. Computers & Electrical Engineering. 53. 421–434. 46 indexed citations
6.
Wang, Shih‐Wei, et al.. (2016). An efficient hybrid algorithm for balancing the load of wireless local area network. Computers & Electrical Engineering. 56. 243–261. 3 indexed citations
7.
Tsai, Chun‐Wei, et al.. (2015). A Multiple Pheromone Table Based Ant Colony Optimization for Clustering. Mathematical Problems in Engineering. 2015. 1–11. 6 indexed citations
8.
Tsai, Chun‐Wei, Yao‐Ting Huang, & Ming‐Chao Chiang. (2014). A non-dominated sorting firefly algorithm for multi-objective optimization. 62–67. 12 indexed citations
9.
Tsai, Chun‐Wei, Shih-Pang Tseng, Chu‐Sing Yang, & Ming‐Chao Chiang. (2013). PREACO: A fast ant colony optimization for codebook generation. Applied Soft Computing. 13(6). 3008–3020. 26 indexed citations
10.
Tsai, Chun‐Wei, et al.. (2013). A High Performance Cloud-Based Protein-Ligand Docking Prediction Algorithm. BioMed Research International. 2013. 1–8. 2 indexed citations
11.
Chuang, Po‐Jen, Ming‐Chao Chiang, Chu-Sing Yang, & Chun‐Wei Tsai. (2012). Social Networks-based Adaptive Pairing Strategy for Cooperative Learning. Educational Technology & Society. 15(3). 226–239. 12 indexed citations
12.
Chiang, Ming‐Chao, et al.. (2012). On the interfacing between QEMU and SystemC for virtual platform construction: Using DMA as a case. Journal of Systems Architecture. 58(3-4). 99–111. 6 indexed citations
13.
Tseng, Shih-Pang, et al.. (2011). Job shop scheduling based on ACO with a hybrid solution construction strategy. 34. 2922–2927. 7 indexed citations
14.
Chiang, Ming‐Chao, Chun‐Wei Tsai, & Chu‐Sing Yang. (2010). A time-efficient pattern reduction algorithm for k-means clustering. Information Sciences. 181(4). 716–731. 63 indexed citations
15.
Chiang, Ming‐Chao, et al.. (2010). Optimizing the Simulation Speed of QEMU and SystemC-Based Virtual Platform. 1–4. 3 indexed citations
16.
Tseng, Shih-Pang, Chun‐Wei Tsai, Ming‐Chao Chiang, & Chu‐Sing Yang. (2010). A fast Ant Colony Optimization for traveling salesman problem. 1–6. 15 indexed citations
17.
Tsai, Chun‐Wei, et al.. (2009). A fast tree-based search algorithm for cluster search engine. 1603–1608. 5 indexed citations
18.
Tsai, Chun‐Wei, et al.. (2006). A Document Clustering Approach for Search Engines. 11. 1050–1055. 8 indexed citations
19.
Chiang, Ming‐Chao & Terrance E. Boult. (1996). A Public Domain System for Camera Calibration and Distortion Correction. 6 indexed citations
20.
Chiang, Ming‐Chao & Terrance E. Boult. (1996). The Integrating Resampler and EfficientImage Warping. 7 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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