Jing-Jia Luo: h-index, Total Citations, and Citation Map
Jing-Jia Luo's h-index is 67 (203 i10-index, 25,401+ total citations across 410+ publications) according to Google Scholar as of June 2026. Jing-Jia Luo is affiliated with Nanjing University of Information Science and Technology (previously Australian Bureau of.
Jing-Jia Luo is a researcher affiliated with Nanjing University of Information Science and Technology (previously Australian Bureau of, specializing in climate dynamics, coupled model development, climate prediction and application. Their work has been cited 25,401 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Jing-Jia Luo's Citation Metrics
Bibliometric impact based on 410 indexed publications.
- H-Index
- 67
- i10-Index
- 203
- Total Citations
- 25,401
- Citing Countries
- 9
As of June 2026.
Jing-Jia Luo has an h-index of 67 and 25,401 total citations across 410 publications, with research cited by institutions in 9 countries.
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Deep learning for multi-year ENSO forecasts
20191,461
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Jing-Jia Luo's research
Jing-Jia Luo is a researcher in climate dynamics, coupled model development and climate prediction and application at Nanjing University of Information Science and Technology (previously Australian Bureau of. Their work has been cited 25,401 times across 410 publications (h-index 67), according to Google Scholar.
Their most-cited work, “Deep learning for multi-year ENSO forecasts” (2019), has accumulated 1,461 citations. Other influential works include “El Niño–southern oscillation complexity” (2018) with 1,389 citations and “State of the Climate in 2010” (2011) with 1,116 citations.
Citations of Jing-Jia Luo's research come primarily from United States, China and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
