Long‐Hui Lin
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Global and Planetary Change top 10%
- Amphibian and Reptile Biology
Papers in
-
- Amphibian and Reptile Biology 35
- Genetics 22
- Genetic diversity and population structure 17
- Co-authors
- Xiang Ji (32 shared papers)Yan‐Fu Qu (17 shared papers)Yu Du (20 shared papers)Jian-Fang Gao (10 shared papers)Jian‐Feng Li (9 shared papers)Feiming Li (5 shared papers)Li Hong (7 shared papers)Zhong‐Qun Tian (5 shared papers)
- Journals
- Current Zoology (4 papers)Journal of Thermal Biology (3 papers)Analytical Chemistry (3 papers)Asian Herpetological Research (3 papers)Frontiers in Microbiology (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Long‐Hui Lin
68 papers receiving 858 citations
Peers
Comparison fields: 5 of 82
- Ecological Modeling 79
- Global and Planetary Change 254
- Ecology, Evolution, Behavior and Systematics 184
- Structural Biology 11
- Nature and Landscape Conservation 94
Countries citing papers authored by Long‐Hui Lin
This map shows the geographic impact of Long‐Hui 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 Long‐Hui Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long‐Hui Lin more than expected).
Fields of papers citing papers by Long‐Hui Lin
This network shows the impact of papers produced by Long‐Hui 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 Long‐Hui Lin. The network helps show where Long‐Hui Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Long‐Hui 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 64 | |
| 2 | 2019 | 56 | |
| 3 | 2006 | 42 | |
| 4 | 1997 | 39 | |
| 5 | 2014 | 37 | |
| 6 | 2010 | 33 | |
| 7 | 2022 | 28 | |
| 8 | 2021 | 28 | |
| 9 | 2020 | 26 | |
| 10 | 2006 | 26 | |
| 11 | 2008 | 23 | |
| 12 | 2009 | 22 | |
| 13 | 2018 | 21 | |
| 14 | 2020 | 20 | |
| 15 | 2016 | 19 | |
| 16 | 2006 | 16 | |
| 17 | 1995 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2009 | 15 | |
| 20 | 2019 | 15 |
About Long‐Hui Lin
Long‐Hui Lin is a scholar working on Global and Planetary Change, Genetics, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation, having authored 71 papers that have together received 887 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (35 papers), Genetic diversity and population structure (17 papers), Animal Behavior and Reproduction (13 papers), Wildlife Ecology and Conservation (10 papers), Fish Ecology and Management Studies (8 papers), Turtle Biology and Conservation (7 papers), Species Distribution and Climate Change (7 papers) and Gut microbiota and health (7 papers). The work is most often cited by research in Ecological Modeling (79 citations), Global and Planetary Change (254 citations), Ecology, Evolution, Behavior and Systematics (184 citations), Structural Biology (11 citations) and Nature and Landscape Conservation (94 citations). Long‐Hui Lin has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Xiang Ji, Yan‐Fu Qu, Yu Du, Jian-Fang Gao, Jian‐Feng Li, Feiming Li, Li Hong, Zhong‐Qun Tian, Xi Chen and Yiru Wang. Their work appears in journals such as Current Zoology, Journal of Thermal Biology, Analytical Chemistry, Asian Herpetological Research and Frontiers in Microbiology.
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.