Mingjun Zhong
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
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- Blind Source Separation Techniques 9
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- Gaussian Processes and Bayesian Inference 5
- Neural Networks and Applications 5
- Bayesian Methods and Mixture Models 4
- Co-authors
- Charles A. Sutton (4 shared papers)Nigel Goddard (4 shared papers)Mark Girolami (9 shared papers)Stefano Squartini (1 shared paper)Chaoyun Zhang (1 shared paper)Chao Gao (3 shared papers)Yongjin Guo (3 shared papers)Fabien Lotte (1 shared paper)
- Journals
- Neurocomputing (3 papers)Journal of Medical Genetics (2 papers)Reliability Engineering & System Safety (2 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)Neural Processing Letters (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Mingjun Zhong
54 papers receiving 3.3k citations
Mingjun Zhong's Hit Papers
Peers
Comparison fields: 5 of 177
- Computer Vision and Pattern Recognition 862
- Artificial Intelligence 1.0k
- Computational Mathematics 15
- Building and Construction 310
- Signal Processing 217
Countries citing papers authored by Mingjun Zhong
This map shows the geographic impact of Mingjun Zhong'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 Mingjun Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjun Zhong more than expected).
Fields of papers citing papers by Mingjun Zhong
This network shows the impact of papers produced by Mingjun Zhong. 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 Mingjun Zhong. The network helps show where Mingjun Zhong may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingjun Zhong, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Advances in Neural Information Processing Systems 27 (NIPS 2014) Hit paper breakdown → | 2014 | 1771 |
| 2 | Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring Hit paper breakdown → | 2018 | 413 |
| 3 | 2019 | 251 | |
| 4 | Advances in Neural Information Processing Systems 19 (NIPS 2006) | 2007 | 190 |
| 5 | 2019 | 84 | |
| 6 | 2007 | 73 | |
| 7 | Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation | 2014 | 53 |
| 8 | 2022 | 49 | |
| 9 | 2021 | 40 | |
| 10 | 2021 | 37 | |
| 11 | 2013 | 34 | |
| 12 | 2023 | 33 | |
| 13 | Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09) | 2009 | 33 |
| 14 | 2020 | 32 | |
| 15 | 2007 | 27 | |
| 16 | 2022 | 25 | |
| 17 | Proceedings of the 29 th International Conference on Machine Learning, Edinburgh, Scotland, UK, 2012 | 2012 | 22 |
| 18 | 2016 | 21 | |
| 19 | 2019 | 18 | |
| 20 | Reversible Jump MCMC for Non-Negative Matrix Factorization | 2009 | 15 |
About Mingjun Zhong
Mingjun Zhong is a scholar working on Signal Processing, Artificial Intelligence, Sensory Systems, Analytical Chemistry and Statistics, Probability and Uncertainty, having authored 59 papers that have together received 3.4k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (9 papers), Smart Grid Energy Management (9 papers), Spectroscopy and Chemometric Analyses (5 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), Gaussian Processes and Bayesian Inference (5 papers), Neural Networks and Applications (5 papers), Bayesian Methods and Mixture Models (4 papers) and Building Energy and Comfort Optimization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (862 citations), Artificial Intelligence (1.0k citations), Computational Mathematics (15 citations), Building and Construction (310 citations) and Signal Processing (217 citations). Mingjun Zhong has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Charles A. Sutton, Nigel Goddard, Mark Girolami, Stefano Squartini, Chaoyun Zhang, Chao Gao, Yongjin Guo, Fabien Lotte, Anatole Lécuyer and Wenpeng Luan. Their work appears in journals such as Neurocomputing, Journal of Medical Genetics, Reliability Engineering & System Safety, IEEE Transactions on Instrumentation and Measurement and Neural Processing Letters.
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.