Zeng Zeng
Impact in
- Transportation top 2%
- Transportation Planning and Optimization
- Building and Construction top 2%
- Traffic Prediction and Management Techniques
Papers in
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- Advanced Neural Network Applications 17
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- IoT and Edge/Fog Computing 16
- Distributed and Parallel Computing Systems 12
- Caching and Content Delivery 9
Zeng Zeng
132 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 155
- Transportation 216
- Building and Construction 358
- Computer Networks and Communications 485
- Computer Vision and Pattern Recognition 399
- Hardware and Architecture 129
Countries citing papers authored by Zeng Zeng
This map shows the geographic impact of Zeng Zeng'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 Zeng Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeng Zeng more than expected).
Fields of papers citing papers by Zeng Zeng
This network shows the impact of papers produced by Zeng Zeng. 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 Zeng Zeng. The network helps show where Zeng Zeng may publish in the future.
Co-authors
The 25 scholars most cited alongside Zeng Zeng, 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 | 21 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 25 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 37 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 1 | |
| 14 | 2021 | 21 | |
| 15 | 2013 | 12 | |
| 16 | 2012 | 3 | |
| 17 | 2011 | 32 | |
| 18 | 2004 | 13 | |
| 19 | 2004 | 3 | |
| 20 | Evaluation on the fertility of some indica rice hybrids under high temperature conditions. | 2000 | 1 |
About Zeng Zeng
Zeng Zeng is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Industrial and Manufacturing Engineering, Artificial Intelligence and Building and Construction, having authored 150 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (17 papers), Cloud Computing and Resource Management (17 papers), IoT and Edge/Fog Computing (16 papers), Distributed and Parallel Computing Systems (12 papers), Industrial Vision Systems and Defect Detection (11 papers), Advancements in Battery Materials (10 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Caching and Content Delivery (9 papers). The work is most often cited by research in Transportation (216 citations), Building and Construction (358 citations), Computer Networks and Communications (485 citations), Computer Vision and Pattern Recognition (399 citations) and Hardware and Architecture (129 citations). Zeng Zeng has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Kenli Li, Cen Chen, Bharadwaj Veeravalli, Keqin Li, Sin G. Teo, Xiaofeng Zou, Xulei Yang, Wei Wei, Joey Tianyi Zhou and Xiaoyong Tang. Their work appears in journals such as Industrial & Engineering Chemistry Research, IEEE Transactions on Industrial Informatics, Neurocomputing, Journal of Parallel and Distributed Computing and IEEE Access.
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.