Meng Zhang
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 5%
- Aerospace Engineering top 5%
- Topics
- Radio Frequency Integrated Circuit Design (14 papers)Advanced Neural Network Applications (12 papers)Topic Modeling (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceEnergy Engineering and Power Technology
- Journals
- Journal of Cleaner ProductionIEEE Transactions on Industrial ElectronicsIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Meng Zhang
139 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Electrical and Electronic Engineering 922
- Artificial Intelligence 867
- Computer Vision and Pattern Recognition 580
- Control and Systems Engineering 307
- Aerospace Engineering 297
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 of co-authors of Meng Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Meng Zhang. A scholar is included among the top collaborators of Meng Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meng Zhang. Meng Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 16 | |
| 8 | 6 | |
| 9 | 33 | |
| 10 | 6 | |
| 11 | 0 | |
| 12 | 9 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | A pairwise learning strategy for video-based face recognition | 1 |
| 17 | Textual Adversarial Attack as Combinatorial Optimization | 6 |
| 18 | 6 | |
| 19 | An Approach for Distributed Streams Mining Using Combination of Naïve Bayes and Decision Trees | 1 |
| 20 | Design of Voice Recognition System Based on Lingyang Single Chip | 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) and Topic Modeling (8 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.