Bing Jiang
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
Papers in
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- Speech Recognition and Synthesis 8
- Natural Language Processing Techniques 6
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- Constructed Wetlands for Wastewater Treatment 7
- Co-authors
- Yan Song (8 shared papers)Si Wei (4 shared papers)Li-Rong Dai (7 shared papers)Mark Batty (1 shared paper)Ian McLoughlin (5 shared papers)Junhua Liu (1 shared paper)Jing Li (2 shared papers)Liangqian Fan (9 shared papers)
In The Last Decade
Bing Jiang
35 papers receiving 335 citations
Peers
Comparison fields: 5 of 82
- Signal Processing 124
- Artificial Intelligence 154
- Industrial and Manufacturing Engineering 24
- Environmental Chemistry 24
- Environmental Engineering 32
Countries citing papers authored by Bing Jiang
This map shows the geographic impact of Bing Jiang'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 Bing Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Jiang more than expected).
Fields of papers citing papers by Bing Jiang
This network shows the impact of papers produced by Bing Jiang. 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 Bing Jiang. The network helps show where Bing Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Jiang, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 64 | |
| 2 | 2014 | 48 | |
| 3 | Multi-agent simulation: new approaches to exploring space-time dynamics in GIS | 1999 | 31 |
| 4 | 2020 | 24 | |
| 5 | 2024 | 23 | |
| 6 | 2014 | 18 | |
| 7 | 2015 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2014 | 10 | |
| 10 | 2024 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2015 | 9 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2013 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2012 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2011 | 5 | |
| 20 | 2019 | 5 |
About Bing Jiang
Bing Jiang is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Radiation, Environmental Chemistry and Water Science and Technology, having authored 37 papers that have together received 363 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (8 papers), Constructed Wetlands for Wastewater Treatment (7 papers), Natural Language Processing Techniques (6 papers), Nuclear Physics and Applications (6 papers), Music and Audio Processing (5 papers), Nuclear reactor physics and engineering (4 papers), Soil and Water Nutrient Dynamics (4 papers) and Land Use and Ecosystem Services (3 papers). The work is most often cited by research in Signal Processing (124 citations), Artificial Intelligence (154 citations), Industrial and Manufacturing Engineering (24 citations), Environmental Chemistry (24 citations) and Environmental Engineering (32 citations). Bing Jiang has collaborated with scholars based in China, Canada and Sweden. Frequent co-authors include Yan Song, Si Wei, Li-Rong Dai, Mark Batty, Ian McLoughlin, Junhua Liu, Jing Li, Liangqian Fan, Hongbing Luo and Hao Zhou. Their work appears in journals such as Journal of Environmental Management, Ecological Engineering, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Cleaner Production and Urban Climate.
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.