Shan Zeng
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 1%
- Artificial Intelligence top 10%
- Plant Science
- Civil and Structural Engineering top 10%
- Topics
- Remote-Sensing Image Classification (16 papers)Soil Mechanics and Vehicle Dynamics (13 papers)Face and Expression Recognition (8 papers)
In The Last Decade
Shan Zeng
74 papers receiving 809 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 263
- Media Technology 258
- Artificial Intelligence 144
- Plant Science 131
- Civil and Structural Engineering 120
Countries citing papers authored by Shan Zeng
This map shows the geographic impact of Shan 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 Shan Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Zeng more than expected).
Fields of papers citing papers by Shan Zeng
This network shows the impact of papers produced by Shan 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 Shan Zeng. The network helps show where Shan Zeng may publish in the future.
Co-authorship network of co-authors of Shan Zeng
This figure shows the co-authorship network connecting the top 25 collaborators of Shan Zeng. A scholar is included among the top collaborators of Shan Zeng 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 Shan Zeng. Shan Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 30 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 40 | |
| 10 | 7 | |
| 11 | Recent advances in mechanized direct seeding technology for rice. | 13 |
| 12 | 29 | |
| 13 | 1 | |
| 14 | 25 | |
| 15 | Experiment and analysis of dropping trajectory on rice pneumatic metering device. | 8 |
| 16 | Design and experiment of fertilizer distribution apparatus with double-level screws. | 19 |
| 17 | Study on hyperspectral image technology based on manifold fuzzy clustering for pork quality classification. | 2 |
| 18 | Design and experiment of precision rice hill-drop drilling machine for dry land with synchronous fertilizing | 11 |
| 19 | PARTICLE SWARM-GROUP SEARCH ALGORITHM AND ITS APPLICATION TO SPATIAL STRUCTURAL DESIGN WITH DISCRETE VARIABLES | 5 |
| 20 | Precision rice hill-direct-seeding technology and machine based on the combination of agricultural machinery and agronomic technology. | 8 |
About Shan Zeng
Shan Zeng is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Civil and Structural Engineering, having authored 81 papers that have together received 828 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (16 papers), Soil Mechanics and Vehicle Dynamics (13 papers) and Face and Expression Recognition (8 papers). The work is most often cited by research in Computational Mathematics (33 citations), Media Technology (258 citations) and Computer Vision and Pattern Recognition (263 citations). Shan Zeng has collaborated with scholars based in China, Australia and Macao. Frequent co-authors include Rui Huang, Fengchao Xiong, Yuntao Qian, Jun Zhou, Yuan Yan Tang, Dagan Feng, Nong Sang, Xiwen Luo, Zhiyong Wang and Xiaojun Tong. Their work appears in journals such as Scientific Reports, Food Chemistry 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.