Cheng Ling
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Insect Science top 10%
- Insect-Plant Interactions and Control
Papers in
-
- Insect-Plant Interactions and Control 8
-
- Genomics and Phylogenetic Studies 19
- Machine Learning in Bioinformatics 4
- Insect Resistance and Genetics 3
- Co-authors
- Arong Luo (3 shared papers)Simon Y. W. Ho (2 shared papers)Chao‐Dong Zhu (2 shared papers)Khaled Benkrid (4 shared papers)Yongfu Qiu (8 shared papers)Meng Yang (3 shared papers)Guoguang Zhao (2 shared papers)Jingyang Gao (9 shared papers)
- Journals
- Theoretical and Applied Genetics (2 papers)Amino Acids (2 papers)Current Microbiology (2 papers)PLoS ONE (2 papers)Euphytica (1 paper)
- Partner nations
- ChinaUnited KingdomJapan
In The Last Decade
Cheng Ling
33 papers receiving 643 citations
Peers
Comparison fields: 5 of 75
- Ecological Modeling 54
- Insect Science 97
- Ecology, Evolution, Behavior and Systematics 145
- Genetics 196
- Paleontology 37
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 335 | |
| 2 | 2012 | 37 | |
| 3 | 2019 | 37 | |
| 4 | 2015 | 33 | |
| 5 | 2016 | 27 | |
| 6 | 2015 | 26 | |
| 7 | 2020 | 24 | |
| 8 | 2010 | 24 | |
| 9 | 2011 | 15 | |
| 10 | 2020 | 10 | |
| 11 | 2013 | 9 | |
| 12 | 2015 | 8 | |
| 13 | 2019 | 8 | |
| 14 | 2017 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2016 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2017 | 6 | |
| 19 | 2020 | 4 | |
| 20 | 2017 | 3 |
About Cheng Ling
Cheng Ling is a scholar working on Insect Science, Molecular Biology, Genetics, Plant Science and Artificial Intelligence, having authored 35 papers that have together received 655 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (19 papers), Insect-Plant Interactions and Control (8 papers), Genetic diversity and population structure (8 papers), Algorithms and Data Compression (6 papers), Plant Virus Research Studies (5 papers), Machine Learning in Bioinformatics (4 papers), Plant-Microbe Interactions and Immunity (3 papers) and Insect Resistance and Genetics (3 papers). The work is most often cited by research in Ecological Modeling (54 citations), Insect Science (97 citations), Ecology, Evolution, Behavior and Systematics (145 citations), Genetics (196 citations) and Paleontology (37 citations). Cheng Ling has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Arong Luo, Simon Y. W. Ho, Chao‐Dong Zhu, Khaled Benkrid, Yongfu Qiu, Meng Yang, Guoguang Zhao, Jingyang Gao, Donghong Sun and Weifeng Shi. Their work appears in journals such as Theoretical and Applied Genetics, Amino Acids, Current Microbiology, PLoS ONE and Euphytica.
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.