Jinlan Liu
Impact in
- Inorganic Chemistry top 10%
- Radioactive element chemistry and processing
- Metal-Organic Frameworks: Synthesis and Applications
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- Customer churn and segmentation
Papers in
-
- Stochastic Gradient Optimization Techniques 16
- Machine Learning and ELM 4
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- Sparse and Compressive Sensing Techniques 9
- Co-authors
- Yin Bai (7 shared papers)Dongpo Xu (18 shared papers)Sheng Lin (5 shared papers)Dawei Zhang (1 shared paper)Jinshan Li (1 shared paper)Jiaxin Qi (9 shared papers)Jian‐Ding Qiu (9 shared papers)Ru‐Ping Liang (9 shared papers)
- Journals
- Neural Networks (4 papers)Knowledge-Based Systems (3 papers)Chemical Engineering Journal (3 papers)Neuroscience (3 papers)Small (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Jinlan Liu
75 papers receiving 628 citations
Jinlan Liu's Hit Papers
Peers
Comparison fields: 5 of 143
- Inorganic Chemistry 100
- Marketing 38
- Biotechnology 36
- Endocrinology 20
- Organizational Behavior and Human Resource Management 37
Countries citing papers authored by Jinlan Liu
This map shows the geographic impact of Jinlan Liu'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 Jinlan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinlan Liu more than expected).
Fields of papers citing papers by Jinlan Liu
This network shows the impact of papers produced by Jinlan Liu. 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 Jinlan Liu. The network helps show where Jinlan Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinlan Liu, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 71 | |
| 2 | 2018 | 35 | |
| 3 | Ocean wave-driven covalent organic framework/ZnO heterostructure composites for piezocatalytic uranium extraction from seawater Hit paper breakdown → | 2025 | 34 |
| 4 | 2016 | 31 | |
| 5 | 2022 | 30 | |
| 6 | 2007 | 26 | |
| 7 | 2004 | 25 | |
| 8 | 2023 | 24 | |
| 9 | 2023 | 21 | |
| 10 | 2024 | 21 | |
| 11 | 2021 | 20 | |
| 12 | 2022 | 19 | |
| 13 | 2023 | 17 | |
| 14 | 2007 | 15 | |
| 15 | 2013 | 13 | |
| 16 | 2023 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2006 | 11 |
About Jinlan Liu
Jinlan Liu is a scholar working on Artificial Intelligence, Computational Mechanics, Plant Science, Materials Chemistry and Molecular Biology, having authored 87 papers that have together received 659 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (16 papers), Sparse and Compressive Sensing Techniques (9 papers), Research in Cotton Cultivation (7 papers), Covalent Organic Framework Applications (7 papers), Radioactive element chemistry and processing (7 papers), Advanced Neural Network Applications (4 papers), Machine Learning and ELM (4 papers) and Metal-Organic Frameworks: Synthesis and Applications (4 papers). The work is most often cited by research in Inorganic Chemistry (100 citations), Marketing (38 citations), Biotechnology (36 citations), Endocrinology (20 citations) and Organizational Behavior and Human Resource Management (37 citations). Jinlan Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yin Bai, Dongpo Xu, Sheng Lin, Dawei Zhang, Jinshan Li, Jiaxin Qi, Jian‐Ding Qiu, Ru‐Ping Liang, Gang Fu and Beiwei Zhu. Their work appears in journals such as Neural Networks, Knowledge-Based Systems, Chemical Engineering Journal, Neuroscience and Small.
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.