Ming‐Chang Wu

3.8k total citations · 1 hit paper
135 papers, 2.9k citations indexed

About

Ming‐Chang Wu is a scholar working on Plant Science, Food Science and Education. According to data from OpenAlex, Ming‐Chang Wu has authored 135 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 19 papers in Food Science and 16 papers in Education. Recurrent topics in Ming‐Chang Wu's work include Polysaccharides and Plant Cell Walls (17 papers), Hydrological Forecasting Using AI (15 papers) and Flood Risk Assessment and Management (13 papers). Ming‐Chang Wu is often cited by papers focused on Polysaccharides and Plant Cell Walls (17 papers), Hydrological Forecasting Using AI (15 papers) and Flood Risk Assessment and Management (13 papers). Ming‐Chang Wu collaborates with scholars based in Taiwan, Indonesia and China. Ming‐Chang Wu's co-authors include Chinyao Low, Gwo‐Fong Lin, Yuh‐Tai Wang, Wen‐Cheng Liu, Chih‐Chieh Young, Gangguo Zhu, Ping‐Hsiu Huang, Chii‐Ming Jiang, Hung‐Min Chang and Diana Lo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Communications and Journal of Agricultural and Food Chemistry.

In The Last Decade

Ming‐Chang Wu

129 papers receiving 2.8k citations

Hit Papers

Understanding the determinants of cloud computing adoption 2011 2026 2016 2021 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Chang Wu Taiwan 27 500 475 384 378 327 135 2.9k
Anjali Awasthi Canada 37 51 0.1× 249 0.5× 154 0.4× 161 0.4× 308 0.9× 178 6.4k
Huimin Li China 29 115 0.2× 133 0.3× 211 0.5× 83 0.2× 208 0.6× 224 3.7k
Ronald D. Snee United States 35 56 0.1× 212 0.4× 271 0.7× 72 0.2× 230 0.7× 147 6.1k
Jianwu Wang United States 20 305 0.6× 104 0.2× 129 0.3× 480 1.3× 61 0.2× 160 2.2k
Florian Daniel Italy 31 149 0.3× 43 0.1× 77 0.2× 1.1k 3.0× 157 0.5× 210 4.1k
Dimitrios Lekkas Greece 22 125 0.3× 164 0.3× 192 0.5× 1.1k 2.8× 32 0.1× 79 2.4k
Hossein Ahmadi Iran 27 238 0.5× 64 0.1× 53 0.1× 318 0.8× 58 0.2× 88 2.7k
Pengcheng Zhang China 26 60 0.1× 346 0.7× 219 0.6× 500 1.3× 50 0.2× 216 2.8k
Qile He China 25 121 0.2× 128 0.3× 71 0.2× 66 0.2× 56 0.2× 100 2.2k

Countries citing papers authored by Ming‐Chang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Chang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Chang Wu. A scholar is included among the top collaborators of Ming‐Chang Wu 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‐Chang Wu. Ming‐Chang Wu 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
2.
Wu, Ming‐Chang, et al.. (2022). The Influence of Internal Motivation and Digital Literacy Towards Students’ Proactivity. JPI (Jurnal Pendidikan Indonesia). 11(3). 501–509. 1 indexed citations
3.
Wu, Ming‐Chang, et al.. (2022). A Study on the Psychological Contract of Administrative Personnel in Vocational Education Institute. Journal of Technical Education and Training. 12(4). 1 indexed citations
4.
Wu, Ming‐Chang, et al.. (2021). Challenges of Collective Inertia and Scarcity to Technological and Vocational Education Universities. Journal of Technical Education and Training. 13(2). 1 indexed citations
5.
Zhou, Yulu, Ming‐Chang Wu, Yi Liu, Cungui Cheng, & Gangguo Zhu. (2020). Synthesis of Polysubstituted Pyrroles via Silver-Catalyzed Oxidative Radical Addition of Cyclopropanols to Imines. Organic Letters. 22(19). 7542–7546. 18 indexed citations
6.
Wu, Ming‐Chang, et al.. (2019). Iron-catalyzed domino Knoevenagel-hetero-Diels–Alder reaction: facile access to oxabicyclo[3.3.1]nonene derivatives. Organic & Biomolecular Chemistry. 17(23). 5684–5687. 8 indexed citations
7.
Jin, Weiwei, et al.. (2018). Visible-light induced three-component alkynyl-difluoroalkylation of unactivated alkenes. Chemical Communications. 54(57). 7924–7927. 58 indexed citations
9.
Zhang, Jian, Ming‐Chang Wu, Lu Wei, et al.. (2017). Preparation of 2-Amino-5-homoallylfurans via Palladium-Catalyzed Tandem Cycloisomerization/Heck-Type Coupling of Homoallenyl Amides with Allyltrialkylsilanes. The Journal of Organic Chemistry. 82(20). 11134–11140. 10 indexed citations
10.
Wu, Ming‐Chang, et al.. (2016). Implementing of the employees training evaluation using Kirkpatrick's model in tourism industry - A case study. International journal of innovation and applied studies. 17(3). 1042–1049. 6 indexed citations
11.
Wu, Ming‐Chang & Marsono Marsono. (2016). An Investigating the Crucial Factors of Teachers‟ Efficacy from the Taiwanese School Member‟s Perspective. International Journal of Information and Education Technology. 7(2). 140–147. 3 indexed citations
12.
Wu, Wanting, et al.. (2014). Antimicrobial activities of various fractions of longan (Dimocarpus longan Lour.Fen Ke) seed extract. International Journal of Food Sciences and Nutrition. 65(5). 589–593. 30 indexed citations
14.
Lo, Diana, et al.. (2012). In vitro antioxidant capacity and antiproliferative effects of different parts and extractions from Ajuga bracteosa on HepG2 cell line. Asian Journal of Research in Chemistry. 2(5). 110–117. 2 indexed citations
15.
Lu, Hsueh-Kuan, et al.. (2011). The bioelectrical impedance analysis with newly predictive equations for measuring segments body composition of elite male football players in Taiwan. Scientific Research and Essays. 6(24). 5131–5137. 3 indexed citations
16.
Tsai, Chieh-Yuan & Ming‐Chang Wu. (2010). Applying a two-stage simulated annealing algorithm for shelf space allocation problems. Lecture notes in computer science. 2185(1). 2376–2380. 6 indexed citations
17.
Wu, Ming‐Chang, et al.. (2010). Effects of different heating treatment and storage time on formation of resistant starch from potato starch.. Witthayasan Kasetsat Witthayasat. 44(5). 935–942. 6 indexed citations
18.
Wu, Ming‐Chang, et al.. (2010). Manufacture of resistant starch by different physical modifications and storage times. Journal of Food Agriculture & Environment. 8. 230–234. 5 indexed citations
19.
Chang, Shen-Chang, Ming‐Chang Wu, Wei‐Min Chen, Yung‐Hsiang Tsai, & Tse‐Min Lee. (2009). Chitinilyticum litopenaei sp. nov., isolated from a freshwater shrimp pond, and emended description of the genus Chitinilyticum. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 59(11). 2651–2655. 13 indexed citations
20.
Wu, Ming‐Chang, et al.. (1998). Attitudes and Motivations of Vocational Teachers Regarding Program Improvement.. Journal of industrial teacher education. 35(3). 6–23. 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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