Cheng Ling
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
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- Plant and animal studies
Papers in ⓘ
-
- Genomics and Phylogenetic Studies 19
- Machine Learning in Bioinformatics 4
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- Plant Virus Research Studies 7
- Plant-Microbe Interactions and Immunity 3
- Co-authors
- Arong Luo (3 shared papers)Chao‐Dong Zhu (2 shared papers)Simon Y. W. Ho (2 shared papers)Khaled Benkrid (4 shared papers)Yongfu Qiu (9 shared papers)Jingyang Gao (9 shared papers)Guoguang Zhao (2 shared papers)Donghong Sun (1 shared paper)
- Journals
- Theoretical and Applied Genetics (2 papers)Current Microbiology (2 papers)Amino Acids (2 papers)PLoS ONE (2 papers)Oncotarget (1 paper)
- Partner nations
- ChinaUnited KingdomJapan
In The Last Decade
Cheng Ling
34 papers receiving 575 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Ecological Modeling 55
- Ecology, Evolution, Behavior and Systematics 138
- Insect Science 84
- Genetics 186
- Paleontology 34
Countries citing papers authored by Cheng Ling
This map shows the geographic impact of Cheng Ling'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 Cheng Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Ling more than expected).
Fields of papers citing papers by Cheng Ling
This network shows the impact of papers produced by Cheng Ling. 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 Cheng Ling. The network helps show where Cheng Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng Ling, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparison of Methods for Molecular Species Delimitation Across a Range of Speciation Scenarios Hit paper breakdown → | 2018 | 309 |
| 2 | 2012 | 36 | |
| 3 | 2015 | 32 | |
| 4 | 2019 | 31 | |
| 5 | 2015 | 24 | |
| 6 | 2010 | 23 | |
| 7 | 2020 | 19 | |
| 8 | 2013 | 12 | |
| 9 | 2011 | 11 | |
| 10 | 2017 | 8 | |
| 11 | 2013 | 8 | |
| 12 | 2015 | 8 | |
| 13 | 2019 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2016 | 6 | |
| 16 | 2017 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2017 | 3 |
About Cheng Ling
Cheng Ling is a scholar working on Molecular Biology, Plant Science, Genetics, Artificial Intelligence and Insect Science, having authored 36 papers that have together received 582 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (19 papers), Genetic diversity and population structure (8 papers), Plant Virus Research Studies (7 papers), Insect-Plant Interactions and Control (7 papers), Algorithms and Data Compression (6 papers), Machine Learning in Bioinformatics (4 papers), Plant-Microbe Interactions and Immunity (3 papers) and Evolution and Paleontology Studies (3 papers). The work is most often cited by research in Ecological Modeling (55 citations), Ecology, Evolution, Behavior and Systematics (138 citations), Insect Science (84 citations), Genetics (186 citations) and Paleontology (34 citations). Cheng Ling has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Arong Luo, Chao‐Dong Zhu, Simon Y. W. Ho, Khaled Benkrid, Yongfu Qiu, Jingyang Gao, Guoguang Zhao, Donghong Sun, Meng Yang and Yang Song. Their work appears in journals such as Theoretical and Applied Genetics, Current Microbiology, Amino Acids, PLoS ONE and Oncotarget.
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.