Mingjun Zhong

4.8k citations
54 papers · 2.7k · 2 hit papers · h-index 17

Impact in

Papers in

Mingjun Zhong

51 papers receiving 2.6k citations

Mingjun Zhong's Hit Papers

Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring 2018 · 363 citations
3630+4+8Years since publication4008001.2k

Peers

Mingjun Zhong
Comparison fields: 5 of 169
  • Computer Vision and Pattern Recognition 539
  • Building and Construction 301
  • Artificial Intelligence 704
  • Computational Mathematics 12
  • Health Informatics 22
Replace Meng Zhang with:
Meng Zhang China
Zachary C. Lipton United States
Sergio Saponara Italy
Weisi Guo United Kingdom
Qianli Ma China
Nikos E. Mastorakis Bulgaria
Wenjie Yang China
Habiboulaye Amadou Boubacar France
Yimin Yang China
Mohammad Ghavamzadeh United States
Mingjun Zhong relative to Meng Zhang China Meng Zhang's profile →
Citations per field
00.5×4.2×
Meng Zhang · 1×
Citations per year

Countries citing papers authored by Mingjun Zhong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mingjun Zhong Line = papers co-authored together Mingjun Zhong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 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 →
20141337
2
Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring
Hit paper breakdown →
2018363
3 2019238
4 201978
5 200770
6
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
201448
7 202145
8 202245
9 202137
10 202136
11 201334
12
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09)
200931
13 202328
14 202027
15 201620
16 202219
17 201918
18
Proceedings of the 29 th International Conference on Machine Learning, Edinburgh, Scotland, UK, 2012
201216
19 201514
20 202212

About Mingjun Zhong

Mingjun Zhong is a scholar working on Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering, Molecular Biology and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 2.7k indexed citations. Recurring topics across this work include Smart Grid Energy Management (9 papers), Blind Source Separation Techniques (8 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), Gaussian Processes and Bayesian Inference (5 papers), Bayesian Methods and Mixture Models (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Building Energy and Comfort Optimization (4 papers) and Energy Load and Power Forecasting (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (539 citations), Building and Construction (301 citations), Artificial Intelligence (704 citations), Computational Mathematics (12 citations) and Health Informatics (22 citations). Mingjun Zhong has collaborated with scholars based in China, United Kingdom and Brazil. Frequent co-authors include Nigel Goddard, Charles Sutton, Stefano Squartini, Chaoyun Zhang, Mark Girolami, Chao Gao, Yongjin Guo, Anatole Lécuyer, Fabien Lotte and Wenpeng Luan. Their work appears in journals such as Neurocomputing, Journal of Medical Genetics, Reliability Engineering & System Safety, IEEE Transactions on Smart Grid and Human Genetics.

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.

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