Peng Ji
- Global and Planetary Change top 2%
- Atmospheric Science top 5%
- Water Science and Technology top 5%
- Environmental Engineering top 5%
- Ecology top 10%
- Co-authors
- Xing YuanJustin SheffieldPeili WuJason A. OtkinYumiao WangMiao ZhangLinying WangYang Jiao
- Topics
- Climate variability and models (16 papers)Cryospheric studies and observations (13 papers)Hydrology and Watershed Management Studies (12 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Peng Ji
55 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Global and Planetary Change 1.1k
- Atmospheric Science 452
- Water Science and Technology 387
- Environmental Engineering 211
- Ecology 138
Countries citing papers authored by Peng Ji
This map shows the geographic impact of Peng 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 Peng Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Ji more than expected).
Fields of papers citing papers by Peng Ji
This network shows the impact of papers produced by Peng 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 Peng Ji. The network helps show where Peng Ji may publish in the future.
Co-authorship network of co-authors of Peng Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Ji. A scholar is included among the top collaborators of Peng Ji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peng Ji. Peng Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 20 | |
| 13 | 40 | |
| 14 | 32 | |
| 15 | 65 | |
| 16 | A first look at global flash drought: long term change and short term predictability | 1 |
| 17 | Simulation of diurnal variation of sea surface temperature in China offshore area using an ocean mixed layer turbulent energy forecast model | 1 |
| 18 | Remote sensing study of glacier dynamic change in West Kunlun Mountains in the past 20 years | 1 |
| 19 | Large-Scale Hydropower Plants Optimal Scheduling Based on Improved Decomposition-Coordination Method | 0 |
| 20 | Multi-source localization with binary sensor networks | 1 |
About Peng Ji
Peng Ji is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Climate variability and models (16 papers), Cryospheric studies and observations (13 papers) and Hydrology and Watershed Management Studies (12 papers). The work is most often cited by research in Global and Planetary Change (1.1k citations), Water Science and Technology (387 citations) and Atmospheric Science (452 citations). Peng Ji has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xing Yuan, Justin Sheffield, Peili Wu, Jason A. Otkin, Yumiao Wang, Miao Zhang, Linying Wang, Yang Jiao, Feng Ma and Xin‐Zhong Liang. Their work appears in journals such as Science, Nature Communications and Journal of Climate.
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.