Automated Author ProfileZhao, Jing
Zhao, Jing
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 90.1 (sum of 92 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
All literature was retrieved from the Web of Science Core Collection database (Science Citation Index Expanded and Social Science Citation Index) on 6th August 2025, given this database’s reliability, comprehensiveness, and prevalence. The search query, TS = (“econom*” or “product*” or “income”) and (“climate-smart agriculture” or “climate smart agriculture”) were used to collect literature about the topic from 2013 to now, as no publications explicitly mentioned CSA before 2013. The document type was restricted to “Article”, and after applying the language filter for English, a total of 764 documents were obtained for bibliometric analysis.
Authors
- Zhao, Jing
All literature was retrieved from the Web of Science Core Collection database (Science Citation Index Expanded and Social Science Citation Index) on 6th August 2025, given this database’s reliability, comprehensiveness, and prevalence. The search query, TS = (“econom*” or “product*” or “income”) and (“climate-smart agriculture” or “climate smart agriculture”) were used to collect literature about the topic from 2013 to now, as no publications explicitly mentioned CSA before 2013. The document type was restricted to “Article”, and after applying the language filter for English, a total of 764 documents were obtained for bibliometric analysis.
Authors
- Zhao, Jing
InSAR Data for Dynamic deformation before the 2021 MS7.4 Maduo earthquake
Authors
- Zhao, Jing
InSAR Data for Dynamic deformation before the 2021 MS7.4 Maduo earthquake
Authors
- Zhao, Jing
This dataset contains the digitized treatments in Plazi based on the original journal article Lu, Yingling, Li, Songyu, Liu, Zuoheng, Zhao, Jing, Yu, Zhiyong, Liang, Zongli, He, Hailong, Li, Jianhong, Huang, Yun, Li, Xinming, Yu, Hong (2025): Morphology and phylogeny of two new species within Cordycipitaceae (Hypocreales) from China. MycoKeys 115: 187-208, DOI: 10.3897/mycokeys.115.140683
Authors
- Yingling Lu ;
- Songyu Li ;
- Zuoheng Liu ;
- Zhao, Jing ;
- Zhiyong Yu ;
- Zongli Liang ;
- Hailong He ;
- Jianhong Li ;
- Huang, Yun ;
- Xinming Li ;
- Yu, Hong
This dataset contains the digitized treatments in Plazi based on the original journal article Li, Rong-Juan, Zhao, Jing, Fang, Shao-Li, Huang, Chuan-Jie, Luo, Miao, He, Zhao-Rong, Zhou, Xin-Mao, Wang, Jia-Guan (2025): Sinocrassula obliquifolia (Crassulaceae), a new species from China. PhytoKeys 255: 103-112, DOI: 10.3897/phytokeys.255.142079
Authors
- Li, Rong-Juan ;
- Zhao, Jing ;
- Fang, Shao-Li ;
- Chuan-Jie Huang ;
- Luo, Miao ;
- He, Zhao-Rong ;
- Xin-Mao Zhou ;
- Jia-Guan Wang
This dataset contains the digitized treatments in Plazi based on the original journal article Xu, Zhi-Bai, Zhao, Jing, Li, Rong-Juan, Jiang, Hong, Wang, Jia-Guan, Chen, Chao (2025): Sinocrassula holotricha (Crassulaceae), a new species from Sichuan, China. PhytoKeys 251: 241-250, DOI: 10.3897/phytokeys.251.134633
Authors
- Zhi-Bai Xu ;
- Zhao, Jing ;
- Li, Rong-Juan ;
- Jiang, Hong ;
- Jia-Guan Wang ;
- Chen, Chao
Global climate change puts pressure on agricultural systems, which, in turn, contribute to climate change through greenhouse gas emissions. Climate-smart agriculture (CSA) aims to address the dual challenges by enhancing productivity, resilience, and GHG reduction. This review provides a bibliometric analysis of CSA research trends from 2013 to 2023, based on 997 documents from the Web of Science, using CiteSpace and VOSviewer. It covers publication trends, subject categories, journals, authors, affiliations, and geographic distributions. Additionally, detailed analyses of keywords, clusters, and citation bursts were performed to identify research hotspots and future research directions. The findings indicate that rapid growth in CSA research since 2018, with Environmental Sciences as the leading category.The fundamental knowledge of CSA research encompasses economics, politics, plant, ecology and zoology. Early studies focused on CSA frameworks, while recent research emphasizes resource efficiency, soil health, and methane emissions. By identifying critical insights into development and key areas for future research, this analysis provides a foundational understanding essential for advancing CSA practices to effectively address the intricate challenges posed by climate change in the agricultural sector.
Authors
- Zhao, Jing
Global climate change puts pressure on agricultural systems, which, in turn, contribute to climate change through greenhouse gas emissions. Climate-smart agriculture (CSA) aims to address the dual challenges by enhancing productivity, resilience, and GHG reduction. This review provides a bibliometric analysis of CSA research trends from 2013 to 2023, based on 997 documents from the Web of Science, using CiteSpace and VOSviewer. It covers publication trends, subject categories, journals, authors, affiliations, and geographic distributions. Additionally, detailed analyses of keywords, clusters, and citation bursts were performed to identify research hotspots and future research directions. The findings indicate that rapid growth in CSA research since 2018, with Environmental Sciences as the leading category.The fundamental knowledge of CSA research encompasses economics, politics, plant, ecology and zoology. Early studies focused on CSA frameworks, while recent research emphasizes resource efficiency, soil health, and methane emissions. By identifying critical insights into development and key areas for future research, this analysis provides a foundational understanding essential for advancing CSA practices to effectively address the intricate challenges posed by climate change in the agricultural sector.
Authors
- Zhao, Jing
Raw numerical data for the manuscript entitled "Methane clumped isotopes of shallow gas hydrates in the Haima cold seeps, South China Sea: Implications for marine carbon cycling and sequestration".
Authors
- chen, haodong ;
- Li, Yun ;
- Zhao, Jing ;
- Li, Jiacheng ;
- Feng, Junxi ;
- Xiao, Xi ;
- Chen, Zongheng ;
- xiong, yongqiang ;
- Liang, Qianyong