Meng Zhang
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- Advanced Neural Network Applications 12
- Artificial Intelligence top 1%
- Topic Modeling 8
- Anomaly Detection Techniques and Applications 8
- Natural Language Processing Techniques 7
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- Radio Frequency Integrated Circuit Design 14
- Advancements in PLL and VCO Technologies 8
- Signal Processing top 5%
- Speech and Audio Processing 7
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- VLSI and Analog Circuit Testing 7
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceEnergy Engineering and Power Technology
- Journals
- Journal of Cleaner Production (2 papers)IEEE Transactions on Industrial Electronics (1 paper)IEEE Transactions on Geoscience and Remote Sensing (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Meng Zhang
139 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Computer Vision and Pattern Recognition 580
- Artificial Intelligence 867
- Energy Engineering and Power Technology 58
- Electrical and Electronic Engineering 922
- Signal Processing 162
Countries citing papers authored by Meng Zhang
This map shows the geographic impact of Meng Zhang'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 Meng Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Zhang more than expected).
Fields of papers citing papers by Meng Zhang
This network shows the impact of papers produced by Meng Zhang. 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 Meng Zhang. The network helps show where Meng Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Meng Zhang, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 33 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 0 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 2 | |
| 15 | 2019 | 1 | |
| 16 | A pairwise learning strategy for video-based face recognition | 2019 | 1 |
| 17 | Textual Adversarial Attack as Combinatorial Optimization | 2019 | 6 |
| 18 | 2013 | 6 | |
| 19 | An Approach for Distributed Streams Mining Using Combination of Naïve Bayes and Decision Trees | 2011 | 1 |
| 20 | Design of Voice Recognition System Based on Lingyang Single Chip | 2008 | 2 |
About Meng Zhang
Meng Zhang is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 157 papers that have together received 2.7k indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (14 papers), Advanced Neural Network Applications (12 papers), Topic Modeling (8 papers), Advancements in PLL and VCO Technologies (8 papers), Anomaly Detection Techniques and Applications (8 papers), Speech and Audio Processing (7 papers), Natural Language Processing Techniques (7 papers) and VLSI and Analog Circuit Testing (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (580 citations), Artificial Intelligence (867 citations) and Energy Engineering and Power Technology (58 citations). Meng Zhang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Chau Yuen, Qianru Zhang, Tinghuan Chen, Bei Yu, Yi Gong, Zhifei Sun, Yuan Zeng, Yuzhe Ma, Shuqi Qin and Liang Yu. Their work appears in journals such as Journal of Cleaner Production, IEEE Transactions on Industrial Electronics and IEEE Transactions on Geoscience and Remote Sensing.
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.