Jingya Han

403 citations
8 papers · 274 · 1 hit paper · h-index 7

Impact in

    • Climate variability and models
    • Hydrology and Drought Analysis
    • Flood Risk Assessment and Management
    • Meteorological Phenomena and Simulations
    • Cryospheric studies and observations

Papers in

Jingya Han

8 papers receiving 270 citations

Jingya Han's Hit Papers

A new daily gridded precipitation dataset for the Chinese mainland based on gauge observations 2023 · 110 citations
1100+1+2Years since publication255075100

Peers

Jingya Han
Comparison fields: 5 of 59
  • Global and Planetary Change 159
  • Atmospheric Science 113
  • Water Science and Technology 55
  • Insect Science 25
  • Food Science 36
Replace Jörg Rapp with:
Jörg Rapp Germany
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Elwira Żmudzka Poland
J. L. Osuna United States
Samuel Ferreira da Silva Brazil
Aline B. Horwath United Kingdom
RN Singh India
Mohd Akhter Ali India
Jingya Han relative to Jörg Rapp Germany Jörg Rapp's profile →
Citations per field
00.5×9.4×
Jörg Rapp · 1×
Citations per year

Countries citing papers authored by Jingya Han

Since Specialization
Citations

This map shows the geographic impact of Jingya Han'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 Jingya Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingya Han more than expected).

Fields of papers citing papers by Jingya Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingya Han. 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 Jingya Han. The network helps show where Jingya Han may publish in the future.

Co-authors

The 21 scholars most cited alongside Jingya Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jingya Han Line = papers co-authored together Jingya Han links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
A new daily gridded precipitation dataset for the Chinese mainland based on gauge observations
Hit paper breakdown →
2023110
2 201558
3 201944
4 202021
5 202015
6 202112
7 202010
8 20164

About Jingya Han

Jingya Han is a scholar working on Global and Planetary Change, Atmospheric Science, Water Science and Technology, Plant Science and Environmental Engineering, having authored 8 papers that have together received 274 indexed citations. Recurring topics across this work include Climate variability and models (6 papers), Meteorological Phenomena and Simulations (4 papers), Hydrology and Drought Analysis (3 papers), Hydrology and Watershed Management Studies (2 papers), Atmospheric and Environmental Gas Dynamics (1 paper), Plant responses to water stress (1 paper), Essential Oils and Antimicrobial Activity (1 paper) and Energy, Environment, Economic Growth (1 paper). The work is most often cited by research in Global and Planetary Change (159 citations), Atmospheric Science (113 citations), Water Science and Technology (55 citations), Insect Science (25 citations) and Food Science (36 citations). Jingya Han has collaborated with scholars based in China and United States. Frequent co-authors include Chiyuan Miao, Jiaojiao Gou, Qi Zhang, Haiyan Zheng, Zhengfang Wu, Hong S. He, Haibo Du, Qingyun Duan, Jingwen Wu and Chun‐Xue You. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Earth system science data, Environmental Research Letters, Journal of Economic Entomology and Global Ecology and Conservation.

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.

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