Zonglin Meng
- Automotive Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Jiaqi MaRunsheng XuXin XiaWei LiuXu HanHanzhao LiQunying HuangBo Peng
- Topics
- Autonomous Vehicle Technology and Safety (8 papers)Traffic control and management (3 papers)Flood Risk Assessment and Management (3 papers)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
- Partner nations
- United StatesChinaCanada
In The Last Decade
Zonglin Meng
12 papers receiving 639 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Automotive Engineering 263
- Computer Vision and Pattern Recognition 220
- Control and Systems Engineering 141
- Electrical and Electronic Engineering 110
- Artificial Intelligence 103
Countries citing papers authored by Zonglin Meng
This map shows the geographic impact of Zonglin Meng'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 Zonglin Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zonglin Meng more than expected).
Fields of papers citing papers by Zonglin Meng
This network shows the impact of papers produced by Zonglin Meng. 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 Zonglin Meng. The network helps show where Zonglin Meng may publish in the future.
Co-authorship network of co-authors of Zonglin Meng
This figure shows the co-authorship network connecting the top 25 collaborators of Zonglin Meng. A scholar is included among the top collaborators of Zonglin Meng 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 Zonglin Meng. Zonglin Meng 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 | 6 | |
| 3 | 32 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | An automated driving systems data acquisition and analytics platformbreakdown → | 126 |
| 7 | HYDRO-3D: Hybrid Object Detection and Tracking for Cooperative Perception Using 3D LiDARbreakdown → | 127 |
| 8 | 92 | |
| 9 | V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perceptionbreakdown → | 122 |
| 10 | 46 | |
| 11 | 11 | |
| 12 | 57 | |
| 13 | 15 |
About Zonglin Meng
Zonglin Meng is a scholar working on Automotive Engineering, Control and Systems Engineering and Media Technology, having authored 13 papers that have together received 651 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (8 papers), Traffic control and management (3 papers) and Flood Risk Assessment and Management (3 papers). The work is most often cited by research in Automotive Engineering (263 citations), Computer Vision and Pattern Recognition (220 citations) and Control and Systems Engineering (141 citations). Zonglin Meng has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jiaqi Ma, Runsheng Xu, Xin Xia, Wei Liu, Xu Han, Hanzhao Li, Qunying Huang, Bo Peng, Hao Xiang and Xin Xia. Their work appears in journals such as Remote Sensing, IEEE Transactions on Industrial Informatics and IEEE Internet of Things 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.