Jin Bai
Impact in
- Fuel Technology top 0.05%
- Geochemistry and Petrology top 0.1%
- Coal and Its By-products
Papers in
-
- Thermochemical Biomass Conversion Processes 112
-
- Iron and Steelmaking Processes 69
- Metallurgical Processes and Thermodynamics 54
- Coal Combustion and Slurry Processing 26
- Co-authors
- Zongqing Bai (131 shared papers)Lingxue Kong (131 shared papers)Wen Li (85 shared papers)Zhenxing Guo (69 shared papers)Wen Li (42 shared papers)Huaizhu Li (60 shared papers)Jingchong Yan (10 shared papers)Chong He (22 shared papers)
In The Last Decade
Jin Bai
234 papers receiving 6.8k citations
Peers
Comparison fields: 5 of 110
- Fuel Technology 285
- Geochemistry and Petrology 1.8k
- Biomedical Engineering 3.5k
- Mechanical Engineering 2.9k
- Renewable Energy, Sustainability and the Environment 1.1k
Countries citing papers authored by Jin Bai
This map shows the geographic impact of Jin Bai'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 Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Bai more than expected).
Fields of papers citing papers by Jin Bai
This network shows the impact of papers produced by Jin Bai. 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 Bai. The network helps show where Jin Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Bai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 250 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 178 | |
| 2 | 2021 | 139 | |
| 3 | 2012 | 130 | |
| 4 | 2016 | 129 | |
| 5 | 2012 | 121 | |
| 6 | 2007 | 117 | |
| 7 | 2017 | 100 | |
| 8 | 2012 | 99 | |
| 9 | 2016 | 97 | |
| 10 | 2018 | 92 | |
| 11 | 2016 | 91 | |
| 12 | 2017 | 88 | |
| 13 | 2018 | 87 | |
| 14 | 2021 | 86 | |
| 15 | 2014 | 85 | |
| 16 | 2018 | 83 | |
| 17 | 2013 | 70 | |
| 18 | 2019 | 69 | |
| 19 | 2018 | 69 | |
| 20 | 2018 | 67 |
About Jin Bai
Jin Bai is a scholar working on Biomedical Engineering, Mechanical Engineering, Geochemistry and Petrology, Materials Chemistry and Ocean Engineering, having authored 250 papers that have together received 6.9k indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (112 papers), Coal and Its By-products (75 papers), Iron and Steelmaking Processes (69 papers), Metallurgical Processes and Thermodynamics (54 papers), Coal Properties and Utilization (45 papers), Recycling and utilization of industrial and municipal waste in materials production (30 papers), Coal Combustion and Slurry Processing (26 papers) and Thermal and Kinetic Analysis (20 papers). The work is most often cited by research in Fuel Technology (285 citations), Geochemistry and Petrology (1.8k citations), Biomedical Engineering (3.5k citations), Mechanical Engineering (2.9k citations) and Renewable Energy, Sustainability and the Environment (1.1k citations). Jin Bai has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Zongqing Bai, Lingxue Kong, Wen Li, Zhenxing Guo, Wen Li, Huaizhu Li, Jingchong Yan, Chong He, Shaozheng Hu and Stefan Guhl. Their work appears in journals such as Fuel, Fuel Processing Technology, Energy & Fuels, Journal of the Energy Institute and RSC Advances.
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.