Chung‐Ping Lin
Impact in
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- Plant and animal studies
- Animal Behavior and Reproduction
- Insect Science top 2%
- Insect-Plant Interactions and Control
Papers in
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- Insect-Plant Interactions and Control 13
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- Plant and animal studies 29
- Animal Behavior and Reproduction 8
- Co-authors
- Bryan N. Danforth (3 shared papers)Stanislav N. Gorb (5 shared papers)Esther Appel (2 shared papers)Jen‐Pan Huang (3 shared papers)Lars Heepe (1 shared paper)Wen‐San Huang (6 shared papers)Hui‐Yun Tseng (5 shared papers)Jennifer Shea‐Ying Fang (1 shared paper)
- Journals
- Zootaxa (4 papers)Journal of Biogeography (3 papers)Journal of Experimental Biology (3 papers)PLoS ONE (3 papers)Systematic Entomology (3 papers)
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Chung‐Ping Lin
67 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 95
- Ecology, Evolution, Behavior and Systematics 682
- Insect Science 408
- Genetics 566
- Ecological Modeling 87
- Horticulture 15
Countries citing papers authored by Chung‐Ping Lin
This map shows the geographic impact of Chung‐Ping Lin'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 Chung‐Ping Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung‐Ping Lin more than expected).
Fields of papers citing papers by Chung‐Ping Lin
This network shows the impact of papers produced by Chung‐Ping Lin. 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 Chung‐Ping Lin. The network helps show where Chung‐Ping Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chung‐Ping Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 309 | |
| 2 | 2015 | 116 | |
| 3 | 2005 | 55 | |
| 4 | 2006 | 52 | |
| 5 | 2004 | 45 | |
| 6 | 2018 | 44 | |
| 7 | 2014 | 43 | |
| 8 | 2018 | 41 | |
| 9 | 2016 | 41 | |
| 10 | 2010 | 41 | |
| 11 | 2006 | 38 | |
| 12 | 2010 | 37 | |
| 13 | 2019 | 36 | |
| 14 | 2011 | 31 | |
| 15 | 2017 | 29 | |
| 16 | 2010 | 27 | |
| 17 | 2016 | 26 | |
| 18 | 2017 | 25 | |
| 19 | 2011 | 24 | |
| 20 | 2016 | 23 |
About Chung‐Ping Lin
Chung‐Ping Lin is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Genetics, Ecology and Ecological Modeling, having authored 70 papers that have together received 1.4k indexed citations. Recurring topics across this work include Plant and animal studies (29 papers), Insect-Plant Interactions and Control (13 papers), Insect and Arachnid Ecology and Behavior (13 papers), Genetic diversity and population structure (11 papers), Lepidoptera: Biology and Taxonomy (11 papers), Animal Behavior and Reproduction (8 papers), Species Distribution and Climate Change (8 papers) and Forest Insect Ecology and Management (7 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (682 citations), Insect Science (408 citations), Genetics (566 citations), Ecological Modeling (87 citations) and Horticulture (15 citations). Chung‐Ping Lin has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Bryan N. Danforth, Stanislav N. Gorb, Esther Appel, Jen‐Pan Huang, Lars Heepe, Wen‐San Huang, Hui‐Yun Tseng, Jennifer Shea‐Ying Fang, Wataru Kojima and Hamed Rajabi. Their work appears in journals such as Zootaxa, Journal of Biogeography, Journal of Experimental Biology, PLoS ONE and Systematic Entomology.
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.