Bing Hu
Impact in
- Signal Processing top 2%
- Time Series Analysis and Forecasting
- Music and Audio Processing
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- Supercapacitor Materials and Fabrication
Papers in
-
- Time Series Analysis and Forecasting 12
- Music and Audio Processing 6
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- Magnetic and transport properties of perovskites and related materials 9
- Supercapacitor Materials and Fabrication 7
- Co-authors
- Eamonn KeoghYanping ChenMohammad Shokoohi-YektaHongxia JinJun WangLing‐Bin KongLong KangKun Yan
- Journals
- Physical review. B. (8 papers)Data Mining and Knowledge Discovery (4 papers)RSC Advances (3 papers)Journal of Applied Physics (3 papers)ChemElectroChem (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bing Hu
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 114
- Signal Processing 405
- Electronic, Optical and Magnetic Materials 335
- Artificial Intelligence 368
- Condensed Matter Physics 84
- Inorganic Chemistry 93
Countries citing papers authored by Bing Hu
This map shows the geographic impact of Bing Hu'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 Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Hu more than expected).
Fields of papers citing papers by Bing Hu
This network shows the impact of papers produced by Bing Hu. 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 Hu. The network helps show where Bing Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 43 | |
| 7 | 2020 | 4 | |
| 8 | 2020 | 11 | |
| 9 | 2019 | 2 | |
| 10 | 2019 | 15 | |
| 11 | 2018 | 4 | |
| 12 | 2016 | 210 | |
| 13 | 2014 | 12 | |
| 14 | 2014 | 34 | |
| 15 | 2013 | 2 | |
| 16 | 2013 | 81 | |
| 17 | 2013 | 23 | |
| 18 | 2012 | 25 | |
| 19 | 2012 | 6 | |
| 20 | 2011 | 34 |
About Bing Hu
Bing Hu is a scholar working on Signal Processing, Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Artificial Intelligence and Transportation, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (12 papers), Anomaly Detection Techniques and Applications (10 papers), Magnetic and transport properties of perovskites and related materials (9 papers), Magnetic properties of thin films (7 papers), Supercapacitor Materials and Fabrication (7 papers), Music and Audio Processing (6 papers), Advanced Condensed Matter Physics (5 papers) and ZnO doping and properties (4 papers). The work is most often cited by research in Signal Processing (405 citations), Electronic, Optical and Magnetic Materials (335 citations), Artificial Intelligence (368 citations), Condensed Matter Physics (84 citations) and Inorganic Chemistry (93 citations). Bing Hu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Eamonn Keogh, Yanping Chen, Mohammad Shokoohi-Yekta, Hongxia Jin, Jun Wang, Ling‐Bin Kong, Eamonn Keogh, Long Kang, Kun Yan and Thanawin Rakthanmanon. Their work appears in journals such as Physical review. B., Data Mining and Knowledge Discovery, RSC Advances, Journal of Applied Physics and ChemElectroChem.
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.