Wei Ji
Impact in
- Space and Planetary Science top 1%
- Global and Planetary Change top 2%
- Land Use and Ecosystem Services
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
Papers in
-
- Land Use and Ecosystem Services 19
- Flood Risk Assessment and Management 7
-
- Remote Sensing and LiDAR Applications 6
- Air Quality Monitoring and Forecasting 4
- Co-authors
- Jingyun Fang (3 shared papers)Shilong Piao (3 shared papers)Qinghua Guo (2 shared papers)Shu Tao (2 shared papers)Zhiyao Tang (2 shared papers)Liming Zhou (1 shared paper)Mark Henderson (1 shared paper)Yan Li (1 shared paper)
- Journals
- Science China Earth Sciences (3 papers)Sustainability (3 papers)Remote Sensing (3 papers)Environmental Pollution (2 papers)Marine Geodesy (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Wei Ji
66 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 143
- Space and Planetary Science 84
- Global and Planetary Change 1.2k
- Ecology 822
- Ecological Modeling 137
- Environmental Engineering 385
Countries citing papers authored by Wei Ji
This map shows the geographic impact of Wei Ji'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 Wei Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ji more than expected).
Fields of papers citing papers by Wei Ji
This network shows the impact of papers produced by Wei Ji. 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 Wei Ji. The network helps show where Wei Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Ji, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 467 | |
| 2 | 2006 | 270 | |
| 3 | 2001 | 251 | |
| 4 | 2004 | 172 | |
| 5 | 2006 | 129 | |
| 6 | 2022 | 80 | |
| 7 | 2018 | 74 | |
| 8 | 2019 | 46 | |
| 9 | 2014 | 46 | |
| 10 | 2007 | 44 | |
| 11 | 2018 | 38 | |
| 12 | 2019 | 37 | |
| 13 | 2018 | 36 | |
| 14 | 2019 | 36 | |
| 15 | 2003 | 33 | |
| 16 | 2020 | 28 | |
| 17 | 2010 | 27 | |
| 18 | 2014 | 25 | |
| 19 | 2016 | 25 | |
| 20 | 2018 | 24 |
About Wei Ji
Wei Ji is a scholar working on Global and Planetary Change, Environmental Engineering, Ecology, Atmospheric Science and Health, Toxicology and Mutagenesis, having authored 69 papers that have together received 2.2k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (19 papers), Remote Sensing in Agriculture (10 papers), Remote Sensing and Land Use (7 papers), Flood Risk Assessment and Management (7 papers), Urban Green Space and Health (6 papers), Remote Sensing and LiDAR Applications (6 papers), Archaeological Research and Protection (4 papers) and Air Quality Monitoring and Forecasting (4 papers). The work is most often cited by research in Space and Planetary Science (84 citations), Global and Planetary Change (1.2k citations), Ecology (822 citations), Ecological Modeling (137 citations) and Environmental Engineering (385 citations). Wei Ji has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Jingyun Fang, Shilong Piao, Qinghua Guo, Shu Tao, Zhiyao Tang, Liming Zhou, Mark Henderson, Yan Li, Changhui Peng and Dafang Zhuang. Their work appears in journals such as Science China Earth Sciences, Sustainability, Remote Sensing, Environmental Pollution and Marine Geodesy.
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.