Automated Author Profile

Zhao, Jing

Current S-Index

90.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.0

Average Dataset Index per dataset

Total Datasets

92

Total datasets for this author

Average FAIR Score

42.5%

Average FAIR Score per dataset

Total Citations

39

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

How Can CSA Make Economies More Prosperous and Sustainable

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
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/r7w6x6ggwvSeptember 2025

How Can CSA Make Economies More Prosperous and Sustainable

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
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/r7w6x6ggwv.1September 2025

Dynamic deformation before the 2021 MS7.4 Maduo earthquake

InSAR Data for Dynamic deformation before the 2021 MS7.4 Maduo earthquake

Authors

  • Zhao, Jing
0 Citations0 Mentions65% FAIR1.4 Dataset Index
10.17632/g56sbtwwc7.1May 2025

Dynamic deformation before the 2021 MS7.4 Maduo earthquake

InSAR Data for Dynamic deformation before the 2021 MS7.4 Maduo earthquake

Authors

  • Zhao, Jing
0 Citations0 Mentions65% FAIR1.4 Dataset Index
10.17632/g56sbtwwc7May 2025

Morphology and phylogeny of two new species within Cordycipitaceae (Hypocreales) from China

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
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.15468/mfycapJanuary 2025

Sinocrassula obliquifolia (Crassulaceae), a new species from China

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
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.15468/g6v522January 2025

Sinocrassula holotricha (Crassulaceae), a new species from Sichuan, China

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
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.15468/h69466January 2025

Adapting Agriculture to Climate Change: A Bibliometric Review of Climate-Smart Agriculture, Identifying Opportunities and Challenges

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
0 Citations0 Mentions65% FAIR1.4 Dataset Index
10.17632/gkxw34jzdfOctober 2024

Adapting Agriculture to Climate Change: A Bibliometric Review of Climate-Smart Agriculture, Identifying Opportunities and Challenges

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
0 Citations0 Mentions65% FAIR1.4 Dataset Index
10.17632/gkxw34jzdf.1October 2024

Data for: Methane clumped isotopes of shallow gas hydrates in the Haima cold seeps, South China Sea: Implications for marine carbon cycling and sequestration

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
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/twbxvx7gz5.1July 2024