Mingjun Zhong
Impact in
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- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Artificial Intelligence top 2%
- Reinforcement Learning in Robotics
- Domain Adaptation and Few-Shot Learning
Papers in
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- Gaussian Processes and Bayesian Inference 3
- Neural Networks and Applications 3
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- Blind Source Separation Techniques 4
- Co-authors
- Charles A. Sutton (3 shared papers)Nigel Goddard (3 shared papers)Mark Girolami (8 shared papers)Chaoyun Zhang (1 shared paper)Stefano Squartini (1 shared paper)Anatole Lécuyer (1 shared paper)Fabien Lotte (1 shared paper)Wenpeng Luan (6 shared papers)
- Journals
- Neurocomputing (3 papers)Neural Processing Letters (2 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)The Bone & Joint Journal (1 paper)
- Partner nations
- United KingdomChinaIndia
In The Last Decade
Mingjun Zhong
38 papers receiving 3.2k citations
Mingjun Zhong's Hit Papers
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 456
- Artificial Intelligence 483
- Electrical and Electronic Engineering 838
- Computational Mathematics 7
- Health Informatics 21
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 40 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 | 1824 |
| 2 | Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring Hit paper breakdown → | 2018 | 458 |
| 3 | 2019 | 257 | |
| 4 | Advances in Neural Information Processing Systems 19 (NIPS 2006) | 2007 | 190 |
| 5 | 2019 | 86 | |
| 6 | 2007 | 72 | |
| 7 | Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation | 2014 | 51 |
| 8 | 2013 | 37 | |
| 9 | Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09) | 2009 | 33 |
| 10 | 2020 | 33 | |
| 11 | 2023 | 33 | |
| 12 | 2007 | 26 | |
| 13 | 2022 | 26 | |
| 14 | Proceedings of the 29 th International Conference on Machine Learning, Edinburgh, Scotland, UK, 2012 | 2012 | 21 |
| 15 | 2016 | 21 | |
| 16 | 2019 | 19 | |
| 17 | Reversible Jump MCMC for Non-Negative Matrix Factorization | 2009 | 16 |
| 18 | 2022 | 14 | |
| 19 | Neural Networks and Brain, 2005. ICNN B '05. International Conference on | 2005 | 11 |
| 20 | 2011 | 11 |
About Mingjun Zhong
Mingjun Zhong is a scholar working on Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering, Statistics and Probability and Oral Surgery, having authored 40 papers that have together received 3.3k indexed citations. Recurring topics across this work include Smart Grid Energy Management (10 papers), Blind Source Separation Techniques (4 papers), Gaussian Processes and Bayesian Inference (3 papers), Neural Networks and Applications (3 papers), Markov Chains and Monte Carlo Methods (2 papers), Phonocardiography and Auscultation Techniques (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper) and Dental Radiography and Imaging (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (456 citations), Artificial Intelligence (483 citations), Electrical and Electronic Engineering (838 citations), Computational Mathematics (7 citations) and Health Informatics (21 citations). Mingjun Zhong has collaborated with scholars based in United Kingdom, China and India. Frequent co-authors include Charles A. Sutton, Nigel Goddard, Mark Girolami, Chaoyun Zhang, Stefano Squartini, Anatole Lécuyer, Fabien Lotte, Wenpeng Luan, Maurizio Filippone and Paulo C. M. Meira. Their work appears in journals such as Neurocomputing, Neural Processing Letters, IEEE Transactions on Instrumentation and Measurement, Journal of the Royal Statistical Society Series C (Applied Statistics) and The Bone & Joint Journal.
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.