Long Li
Impact in
- Filtration and Separation top 1%
- Chemical and Physical Properties in Aqueous Solutions
- Catalysis top 5%
- Ionic liquids properties and applications
Papers in
-
- Chemical and Physical Properties in Aqueous Solutions 19
-
- Analytical Chemistry and Sensors 19
- Co-authors
- Yafei Guo (21 shared papers)Wei Guan (6 shared papers)Tianlong Deng (17 shared papers)Jing Tong (4 shared papers)Xiaoxue Ma (4 shared papers)Dawei Fang (4 shared papers)Jia‐Zhen Yang (3 shared papers)Yi Qian (15 shared papers)
- Journals
- Journal of Chemical & Engineering Data (6 papers)Sensors and Actuators B Chemical (4 papers)The Journal of Chemical Thermodynamics (3 papers)ACS Sensors (3 papers)Analytical Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Long Li
48 papers receiving 480 citations
Peers
Comparison fields: 5 of 53
- Filtration and Separation 184
- Catalysis 164
- Bioengineering 66
- Fluid Flow and Transfer Processes 68
- Electrochemistry 60
Countries citing papers authored by Long Li
This map shows the geographic impact of Long 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 Long Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Li more than expected).
Fields of papers citing papers by Long Li
This network shows the impact of papers produced by Long 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 Long Li. The network helps show where Long Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Long 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 58 | |
| 2 | 2016 | 32 | |
| 3 | 2018 | 26 | |
| 4 | 2013 | 26 | |
| 5 | 2020 | 26 | |
| 6 | 2012 | 22 | |
| 7 | 2011 | 22 | |
| 8 | 2015 | 21 | |
| 9 | 2012 | 21 | |
| 10 | 2023 | 21 | |
| 11 | 2011 | 21 | |
| 12 | 2016 | 14 | |
| 13 | 2019 | 14 | |
| 14 | 2020 | 14 | |
| 15 | 2018 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2016 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2019 | 8 |
About Long Li
Long Li is a scholar working on Filtration and Separation, Bioengineering, Electrical and Electronic Engineering, Materials Chemistry and Catalysis, having authored 53 papers that have together received 492 indexed citations. Recurring topics across this work include Chemical and Physical Properties in Aqueous Solutions (19 papers), Analytical Chemistry and Sensors (19 papers), Electrochemical sensors and biosensors (12 papers), Molecular Sensors and Ion Detection (8 papers), Extraction and Separation Processes (6 papers), Thermodynamic properties of mixtures (6 papers), Ionic liquids properties and applications (6 papers) and Crystallization and Solubility Studies (6 papers). The work is most often cited by research in Filtration and Separation (184 citations), Catalysis (164 citations), Bioengineering (66 citations), Fluid Flow and Transfer Processes (68 citations) and Electrochemistry (60 citations). Long Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yafei Guo, Wei Guan, Tianlong Deng, Jing Tong, Xiaoxue Ma, Dawei Fang, Jia‐Zhen Yang, Yi Qian, Sisi Zhang and Qingjie Guo. Their work appears in journals such as Journal of Chemical & Engineering Data, Sensors and Actuators B Chemical, The Journal of Chemical Thermodynamics, ACS Sensors and Analytical Chemistry.
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.