Mingjun Zhong
- Health Informatics top 5%
- Building and Construction top 2%
- Building Energy and Comfort Optimization 4
- Artificial Intelligence top 2%
- Bayesian Methods and Mixture Models 5
- Gaussian Processes and Bayesian Inference 5
- Computational Mathematics top 10%
-
- Smart Grid Energy Management 9
- Energy Load and Power Forecasting 4
-
- Blind Source Separation Techniques 8
-
- Hearing, Cochlea, Tinnitus, Genetics 5
-
- Spectroscopy and Chemometric Analyses 4
- Co-authors
- Charles SuttonNigel GoddardStefano SquartiniChaoyun ZhangMark GirolamiChao GaoFabien LotteYongjin Guo
- Journals
- Neurocomputing (3 papers)Reliability Engineering & System Safety (2 papers)Journal of Medical Genetics (2 papers)
- Partner nations
- ChinaUnited KingdomGreece
In The Last Decade
Mingjun Zhong
51 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Computer Vision and Pattern Recognition 538
- Health Informatics 33
- Building and Construction 300
- Artificial Intelligence 706
- Computational Mathematics 11
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 40 | |
| 13 | 2021 | 6 | |
| 14 | 2019 | 18 | |
| 15 | 2019 | 78 | |
| 16 | 2015 | 14 | |
| 17 | Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation | 2014 | 47 |
| 18 | On the Fully Bayesian Treatment of Latent Gaussian Models using Stochastic Simulations | 2012 | 2 |
| 19 | Reversible Jump MCMC for Non-Negative Matrix Factorization | 2009 | 12 |
| 20 | 2007 | 70 |
About Mingjun Zhong
Mingjun Zhong is a scholar working on Health Informatics, Sensory Systems and Signal Processing, having authored 55 papers that have together received 2.6k indexed citations. Recurring topics across this work include Smart Grid Energy Management (9 papers), Blind Source Separation Techniques (8 papers), Bayesian Methods and Mixture Models (5 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), Gaussian Processes and Bayesian Inference (5 papers), Building Energy and Comfort Optimization (4 papers), Energy Load and Power Forecasting (4 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (538 citations), Health Informatics (33 citations) and Building and Construction (300 citations). Mingjun Zhong has collaborated with scholars based in China, United Kingdom and Greece. Frequent co-authors include Charles Sutton, Nigel Goddard, Stefano Squartini, Chaoyun Zhang, Mark Girolami, Chao Gao, Fabien Lotte, Yongjin Guo, Anatole Lécuyer and Wenpeng Luan. Their work appears in journals such as Neurocomputing, Reliability Engineering & System Safety, Journal of Medical Genetics, Information Sciences and Ocean Engineering.
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.