Jin‐Hong Du
- Health, Toxicology and Mutagenesis top 5%
- Atmospheric Science top 10%
- Global and Planetary Change top 10%
- Environmental Engineering top 10%
- Economics and Econometrics
- Co-authors
- Meng FanWei WangShijie LiuChunting FengWenjie HuangWei TangYue ZhouGuorui Zhi
- Topics
- Air Quality and Health Impacts (7 papers)Atmospheric chemistry and aerosols (7 papers)Vehicle emissions and performance (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Statistical AssociationThe Science of The Total Environment
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Jin‐Hong Du
25 papers receiving 468 citations
Peers
Comparison fields: 5 of 76
- Health, Toxicology and Mutagenesis 213
- Atmospheric Science 144
- Global and Planetary Change 141
- Environmental Engineering 121
- Economics and Econometrics 64
Countries citing papers authored by Jin‐Hong Du
This map shows the geographic impact of Jin‐Hong Du'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 Jin‐Hong Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Hong Du more than expected).
Fields of papers citing papers by Jin‐Hong Du
This network shows the impact of papers produced by Jin‐Hong Du. 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 Jin‐Hong Du. The network helps show where Jin‐Hong Du may publish in the future.
Co-authorship network of co-authors of Jin‐Hong Du
This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Hong Du. A scholar is included among the top collaborators of Jin‐Hong Du based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin‐Hong Du. Jin‐Hong Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 64 | |
| 8 | 3 | |
| 9 | 29 | |
| 10 | 17 | |
| 11 | 21 | |
| 12 | 31 | |
| 13 | 18 | |
| 14 | 60 | |
| 15 | 35 | |
| 16 | Development Course and Suggestion of Air Pollutant Emission Inventory in China | 5 |
| 17 | 3 | |
| 18 | 10 | |
| 19 | 75 | |
| 20 | Rural household coal use survey, emission estimation and policy implications. | 19 |
About Jin‐Hong Du
Jin‐Hong Du is a scholar working on Statistics and Probability, Health, Toxicology and Mutagenesis and Automotive Engineering, having authored 30 papers that have together received 474 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (7 papers), Atmospheric chemistry and aerosols (7 papers) and Vehicle emissions and performance (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (213 citations), Environmental Engineering (121 citations) and Atmospheric Science (144 citations). Jin‐Hong Du has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Meng Fan, Wei Wang, Shijie Liu, Chunting Feng, Wenjie Huang, Wei Tang, Yue Zhou, Guorui Zhi, Fangzheng Liu and Linlin Ma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and The Science of The Total Environment.
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.