Nanjing University of Information Science and Technology
Impact in
- Atmospheric Science top 0.2%
- Atmospheric chemistry and aerosols
- Meteorological Phenomena and Simulations
- Tropical and Extratropical Cyclones Research
- Atmospheric Ozone and Climate
- Global and Planetary Change top 0.5%
- Climate variability and models
- Atmospheric aerosols and clouds
Papers in
- Atmospheric Science 11.3k
- Meteorological Phenomena and Simulations 4.1k
- Atmospheric chemistry and aerosols 3.4k
- Tropical and Extratropical Cyclones Research 2.2k
- Atmospheric Ozone and Climate 1.5k
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- Climate variability and models 6.2k
- Atmospheric aerosols and clouds 2.0k
Nanjing University of Information Science and Technology
32.9k papers receiving 723.8k citations
Peers
Comparison fields: 5 of 248
- Atmospheric Science 202.9k
- Global and Planetary Change 202.0k
- Health, Toxicology and Mutagenesis 76.9k
- Environmental Engineering 79.0k
- Oceanography 43.6k
Countries citing scholars working at Nanjing University of Information Science and Technology
This map shows the geographic impact of research produced by authors working at Nanjing University of Information Science and Technology. 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 papers produced at Nanjing University of Information Science and Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanjing University of Information Science and Technology more than expected).
Fields of papers published by authors at Nanjing University of Information Science and Technology
This network shows the impact of papers affiliated with Nanjing University of Information Science and Technology at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Nanjing University of Information Science and Technology at the time of their publication.
About Nanjing University of Information Science and Technology
In recent decades, authors affiliated with Nanjing University of Information Science and Technology have published 36.9k papers, which have received a total of 741.0k indexed citations . Scholars at this organization have produced 11.3k papers in Atmospheric Science, 10.8k papers in Global and Planetary Change, 2.9k papers in Oceanography, 3.2k papers in Environmental Engineering and 2.7k papers in Health, Toxicology and Mutagenesis on the topics of Climate variability and models (6.2k papers), Meteorological Phenomena and Simulations (4.1k papers), Atmospheric chemistry and aerosols (3.4k papers), Tropical and Extratropical Cyclones Research (2.2k papers), Air Quality and Health Impacts (2.0k papers), Atmospheric aerosols and clouds (2.0k papers), Oceanographic and Atmospheric Processes (1.6k papers) and Atmospheric Ozone and Climate (1.5k papers). Their work is cited by papers focused on Atmospheric Science (202.9k citations), Global and Planetary Change (202.0k citations), Health, Toxicology and Mutagenesis (76.9k citations), Environmental Engineering (79.0k citations) and Oceanography (43.6k citations). Authors at Nanjing University of Information Science and Technology collaborate with scholars in China, United States and United Kingdom and have published in prestigious journals including Remote Sensing, The Science of The Total Environment, Climate Dynamics, Journal of Geophysical Research Atmospheres and Atmospheric Research. Some of Nanjing University of Information Science and Technology's most productive authors include Xingming Sun, Zeshui Xu, Yafei Shen, Tim Li, Mindong Chen, Hong Liao, Jian Shen, Qingshan Liu, Bin Wang and Evgenios Agathokleous.
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.