Ming‐Chih Chiu

1.8k citations
86 papers · 1.2k · h-index 20

Impact in

Papers in

Ming‐Chih Chiu

81 papers receiving 1.2k citations

Peers

Ming‐Chih Chiu
Comparison fields: 5 of 90
  • Food Science 333
  • Nature and Landscape Conservation 213
  • Ecological Modeling 64
  • Insect Science 166
  • Ecology 338
Replace Sahadevan Seena with:
Sahadevan Seena Portugal
Yali Zhang China
M. González Spain
Queila Souza Garcia Brazil
Pietro P. M. Iannetta United Kingdom
Guoping Zhu China
Chang Zhang China
Ya Liu China
Pamela Weisenhorn United States
Aránzazu Peña Spain
Ming‐Chih Chiu relative to Sahadevan Seena Portugal Sahadevan Seena's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ming‐Chih Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chih Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming‐Chih Chiu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming‐Chih Chiu Line = papers co-authored together Ming‐Chih Chiu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006125
2 2009123
3 200651
4 201646
5 200940
6 201140
7 200833
8 201133
9 201630
10 201430
11 202130
12 201429
13 201328
14 201225
15 202225
16 201724
17 201824
18 201523
19 201322
20 201321

About Ming‐Chih Chiu

Ming‐Chih Chiu is a scholar working on Ecology, Nature and Landscape Conservation, Food Science, Ecological Modeling and Insect Science, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (28 papers), Freshwater macroinvertebrate diversity and ecology (28 papers), Food Chemistry and Fat Analysis (14 papers), Species Distribution and Climate Change (13 papers), Insect-Plant Interactions and Control (11 papers), Meat and Animal Product Quality (7 papers), Hydrology and Sediment Transport Processes (6 papers) and Plant and animal studies (6 papers). The work is most often cited by research in Food Science (333 citations), Nature and Landscape Conservation (213 citations), Ecological Modeling (64 citations), Insect Science (166 citations) and Ecology (338 citations). Ming‐Chih Chiu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Mei‐Hwa Kuo, Lireny Aparecida Guaraldo Gonçalves, Vincent H. Resh, Ana Paula Badan Ribeiro, Lina Casale Aragón-Alegro, Haíssa Roberta Cardarelli, Susana Marta Isay Saad, Rodrigo Corrêa Basso, Luiz Antônio Viotto and Renato Grimaldi. Their work appears in journals such as The Science of The Total Environment, Scientific Reports, Journal of the American Oil Chemists Society, Environmental Pollution and Food Research International.

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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