Longlong Li
Impact in
- Plant Science top 5%
- Plant Surface Properties and Treatments
- Smart Agriculture and AI
Papers in
-
- Plant Surface Properties and Treatments 32
- Co-authors
- Haitian Ma (26 shared papers)Ruirui Zhang (33 shared papers)Ji Cao (8 shared papers)Qing Tang (20 shared papers)Tongchuan Yi (14 shared papers)Xiongkui He (9 shared papers)Gang Xu (11 shared papers)Yao Yao (7 shared papers)
- Journals
- Computers and Electronics in Agriculture (8 papers)International journal of agricultural and biological engineering (7 papers)Agronomy (6 papers)Journal of Animal Science (3 papers)Pest Management Science (3 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Longlong Li
79 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 128
- Plant Science 489
- Endocrinology, Diabetes and Metabolism 99
- Computational Mechanics 128
- Environmental Engineering 88
- Animal Science and Zoology 60
Countries citing papers authored by Longlong Li
This map shows the geographic impact of Longlong Li'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 Longlong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longlong Li more than expected).
Fields of papers citing papers by Longlong Li
This network shows the impact of papers produced by Longlong Li. 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 Longlong Li. The network helps show where Longlong Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Longlong Li, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 62 | |
| 2 | 2016 | 50 | |
| 3 | 2018 | 45 | |
| 4 | 2020 | 42 | |
| 5 | 2022 | 41 | |
| 6 | 2021 | 41 | |
| 7 | 2015 | 41 | |
| 8 | 2018 | 36 | |
| 9 | 2017 | 35 | |
| 10 | 2022 | 34 | |
| 11 | 2020 | 32 | |
| 12 | 2021 | 30 | |
| 13 | 2020 | 29 | |
| 14 | 2021 | 28 | |
| 15 | 2020 | 28 | |
| 16 | 2012 | 27 | |
| 17 | 2016 | 27 | |
| 18 | 2019 | 25 | |
| 19 | 2022 | 24 | |
| 20 | 2018 | 24 |
About Longlong Li
Longlong Li is a scholar working on Plant Science, Molecular Biology, Computational Mechanics, Electrical and Electronic Engineering and Endocrinology, Diabetes and Metabolism, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Surface Properties and Treatments (32 papers), Particle Dynamics in Fluid Flows (10 papers), Fluid Dynamics and Heat Transfer (10 papers), Hormonal and reproductive studies (7 papers), Electrohydrodynamics and Fluid Dynamics (6 papers), Adipose Tissue and Metabolism (6 papers), Laser-induced spectroscopy and plasma (6 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Plant Science (489 citations), Endocrinology, Diabetes and Metabolism (99 citations), Computational Mechanics (128 citations), Environmental Engineering (88 citations) and Animal Science and Zoology (60 citations). Longlong Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Haitian Ma, Ruirui Zhang, Ji Cao, Qing Tang, Tongchuan Yi, Xiongkui He, Gang Xu, Yao Yao, Liping Chen and Mengling Peng. Their work appears in journals such as Computers and Electronics in Agriculture, International journal of agricultural and biological engineering, Agronomy, Journal of Animal Science and Pest Management Science.
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.