Bin Gu
Impact in
- Health Informatics top 10%
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
-
- Speech Recognition and Synthesis 10
- Topic Modeling 1
-
- Speech and Audio Processing 10
- Music and Audio Processing 9
- Co-authors
- Nicholas Berente (1 shared paper)Radhika Santhanam (1 shared paper)Jan Recker (1 shared paper)Wu Guo (10 shared papers)Jie Zhang (3 shared papers)Li-Rong Dai (1 shared paper)Bin Zhang (1 shared paper)Quan Liu (1 shared paper)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Journal of Management Analytics (1 paper)IEEE Signal Processing Letters (1 paper)MIS Quarterly (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Bin Gu
13 papers receiving 232 citations
Bin Gu's Hit Papers
Peers
Comparison fields: 5 of 49
- Health Informatics 11
- Safety Research 52
- Management Information Systems 34
- Signal Processing 32
- Artificial Intelligence 74
Countries citing papers authored by Bin Gu
This map shows the geographic impact of Bin Gu'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 Bin Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Gu more than expected).
Fields of papers citing papers by Bin Gu
This network shows the impact of papers produced by Bin Gu. 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 Bin Gu. The network helps show where Bin Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Gu, 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 | Managing Artificial Intelligence Hit paper breakdown → | 2021 | 199 |
| 2 | 2021 | 8 | |
| 3 | 2024 | 8 | |
| 4 | 2020 | 5 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 3 | |
| 7 | 2018 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 1998 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2020 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2016 | 0 |
About Bin Gu
Bin Gu is a scholar working on Artificial Intelligence, Signal Processing, Management Information Systems, Information Systems and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 243 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (10 papers), Music and Audio Processing (9 papers), Big Data and Business Intelligence (3 papers), Mineral Processing and Grinding (1 paper), Multimodal Machine Learning Applications (1 paper), Blockchain Technology Applications and Security (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Health Informatics (11 citations), Safety Research (52 citations), Management Information Systems (34 citations), Signal Processing (32 citations) and Artificial Intelligence (74 citations). Bin Gu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Nicholas Berente, Radhika Santhanam, Jan Recker, Wu Guo, Jie Zhang, Li-Rong Dai, Bin Zhang, Quan Liu, Yongchao Wang and Yingsheng Zhang. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Journal of Management Analytics, IEEE Signal Processing Letters, MIS Quarterly and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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.