Ming‐Yih Leu

958 total citations
37 papers, 716 citations indexed

About

Ming‐Yih Leu is a scholar working on Aquatic Science, Nature and Landscape Conservation and Physiology. According to data from OpenAlex, Ming‐Yih Leu has authored 37 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Aquatic Science, 15 papers in Nature and Landscape Conservation and 11 papers in Physiology. Recurrent topics in Ming‐Yih Leu's work include Aquaculture Nutrition and Growth (17 papers), Fish Ecology and Management Studies (12 papers) and Reproductive biology and impacts on aquatic species (11 papers). Ming‐Yih Leu is often cited by papers focused on Aquaculture Nutrition and Growth (17 papers), Fish Ecology and Management Studies (12 papers) and Reproductive biology and impacts on aquatic species (11 papers). Ming‐Yih Leu collaborates with scholars based in Taiwan, United States and Fiji. Ming‐Yih Leu's co-authors include Pei‐Jie Meng, Lee‐Shing Fang, Kwee Siong Tew, Ming‐An Lee, Wenyu Chen, Kwang‐Tsao Shao, Tai‐Sheng Chiu, Jih‐Terng Wang, Chyng‐Hwa Liou and Li‐Lian Liu and has published in prestigious journals such as PLoS ONE, Marine Pollution Bulletin and Aquaculture.

In The Last Decade

Ming‐Yih Leu

35 papers receiving 696 citations

Peers

Ming‐Yih Leu
Comparison fields: 5 of 59
  • Aquatic Science 359
  • Nature and Landscape Conservation 273
  • Ecology 258
  • Global and Planetary Change 213
  • Molecular Biology 169
Replace Ivan Katavić with:
Ivan Katavić Croatia
Alexis Conides Greece
Yu‐Jia Lin Taiwan
S. E. Shackley United Kingdom
David C. Glover United States
Jorge Santos Norway
B Madhusoodana Kurup India
Maria Th. Stoumboudi Greece
Maria Emília Cunha Portugal
Lars Vallin Sweden
Ivan Katavić Croatia View profile →
Citations per field, relative to Ming‐Yih Leu
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Citations per year, relative to Ming‐Yih Leu
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Countries citing papers authored by Ming‐Yih Leu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Yih Leu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Yih Leu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Yih Leu. A scholar is included among the top collaborators of Ming‐Yih Leu 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‐Yih Leu. Ming‐Yih Leu 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
# Work Indexed citations
1 0
2 0
3 24
4 7
5 9
6 9
7 3
8 11
9 18
10 187
11 64
12 27
13 30
14 18
15 29
16 31
17 5
18 25
19 2
20 8

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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