Long Liu
-
- Ferroelectric and Negative Capacitance Devices 16
- Semiconductor materials and devices 13
- Advancements in Battery Materials 12
- Advanced Memory and Neural Computing 9
- Advanced Battery Materials and Technologies 9
- Economics and Econometrics top 5%
- Spatial and Panel Data Analysis 22
- Regional Economics and Spatial Analysis 9
- Economic and Environmental Valuation 8
- Cited by
- Electrical and Electronic EngineeringRenewable Energy, Sustainability and the EnvironmentComputational Mathematics
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Colloid and Interface Science (1 paper)Nanoscale (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Long Liu
100 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Electrical and Electronic Engineering 654
- Renewable Energy, Sustainability and the Environment 161
- Computational Mathematics 4
- Economics and Econometrics 166
- General Economics, Econometrics and Finance 48
Countries citing papers authored by Long Liu
This map shows the geographic impact of Long 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 Long Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Liu more than expected).
Fields of papers citing papers by Long Liu
This network shows the impact of papers produced by Long 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 Long Liu. The network helps show where Long Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Long 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 18 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 0 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 83 | |
| 14 | 2021 | 5 | |
| 15 | 2020 | 31 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2019 | 0 | |
| 20 | 2019 | 8 |
About Long Liu
Long Liu is a scholar working on Computational Mathematics, Electrical and Electronic Engineering and Economics and Econometrics, having authored 108 papers that have together received 1.2k indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (22 papers), Ferroelectric and Negative Capacitance Devices (16 papers), Semiconductor materials and devices (13 papers), Advancements in Battery Materials (12 papers), Advanced Memory and Neural Computing (9 papers), Advanced Battery Materials and Technologies (9 papers), Regional Economics and Spatial Analysis (9 papers) and Economic and Environmental Valuation (8 papers). The work is most often cited by research in Electrical and Electronic Engineering (654 citations), Renewable Energy, Sustainability and the Environment (161 citations) and Computational Mathematics (4 citations). Long Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Badi H. Baltagi, Neng Zhu, Chihwa Kao, Qiang Sun, Xinxi Li, Yonghui Sun, Jialin Xu, Mengxuan Zhang, Yong Lei and Zhe Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Colloid and Interface Science and Nanoscale.
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.