Long Ren
Impact in
- Geophysics top 5%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
-
- Supply Chain and Inventory Management
Papers in
- Geophysics 18
- Geological and Geochemical Analysis 18
- High-pressure geophysics and materials 14
- earthquake and tectonic studies 11
-
- Geochemistry and Geologic Mapping 9
- Co-authors
- Shifeng Liu (7 shared papers)Huaying Liang (15 shared papers)Wenting Huang (14 shared papers)Jian Zhang (12 shared papers)Daqing Gong (8 shared papers)Xilian Chen (9 shared papers)Bin Zhu (4 shared papers)Jun Liu (1 shared paper)
- Journals
- Ore Geology Reviews (8 papers)Lithos (6 papers)Reliability Engineering & System Safety (3 papers)Computers & Industrial Engineering (2 papers)Information Sciences (2 papers)
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Long Ren
43 papers receiving 662 citations
Peers
Comparison fields: 5 of 87
- Geophysics 254
- Management Information Systems 96
- Marketing 80
- Transportation 54
- Artificial Intelligence 208
Countries citing papers authored by Long Ren
This map shows the geographic impact of Long Ren'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 Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Ren more than expected).
Fields of papers citing papers by Long Ren
This network shows the impact of papers produced by Long Ren. 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 Ren. The network helps show where Long Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Ren, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 83 | |
| 2 | 2019 | 42 | |
| 3 | 2021 | 41 | |
| 4 | 2018 | 34 | |
| 5 | 2018 | 32 | |
| 6 | 2018 | 32 | |
| 7 | 2023 | 30 | |
| 8 | 2023 | 29 | |
| 9 | 2019 | 27 | |
| 10 | 2021 | 23 | |
| 11 | 2022 | 23 | |
| 12 | 2018 | 22 | |
| 13 | 2019 | 20 | |
| 14 | 2019 | 19 | |
| 15 | 2020 | 17 | |
| 16 | 2023 | 16 | |
| 17 | 2018 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2024 | 12 | |
| 20 | 2023 | 12 |
About Long Ren
Long Ren is a scholar working on Geophysics, Artificial Intelligence, Marketing, Strategy and Management and Transportation, having authored 46 papers that have together received 677 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (18 papers), High-pressure geophysics and materials (14 papers), earthquake and tectonic studies (11 papers), Geochemistry and Geologic Mapping (9 papers), Sharing Economy and Platforms (4 papers), Transportation Planning and Optimization (3 papers), Supply Chain and Inventory Management (3 papers) and Digital Platforms and Economics (3 papers). The work is most often cited by research in Geophysics (254 citations), Management Information Systems (96 citations), Marketing (80 citations), Transportation (54 citations) and Artificial Intelligence (208 citations). Long Ren has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Shifeng Liu, Huaying Liang, Wenting Huang, Jian Zhang, Daqing Gong, Xilian Chen, Bin Zhu, Jun Liu, Jing Wu and Zhiwei Bao. Their work appears in journals such as Ore Geology Reviews, Lithos, Reliability Engineering & System Safety, Computers & Industrial Engineering and Information Sciences.
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.