Wanlin Gao
- Plant Science top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Analytical Chemistry top 5%
- Ecology top 10%
- Topics
- Smart Agriculture and AI (15 papers)Advanced Neural Network Applications (11 papers)Spectroscopy and Chemometric Analyses (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentExpert Systems with Applications
In The Last Decade
Wanlin Gao
118 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 143
- Plant Science 576
- Computer Vision and Pattern Recognition 222
- Artificial Intelligence 159
- Analytical Chemistry 146
- Ecology 139
Countries citing papers authored by Wanlin Gao
This map shows the geographic impact of Wanlin Gao'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 Wanlin Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanlin Gao more than expected).
Fields of papers citing papers by Wanlin Gao
This network shows the impact of papers produced by Wanlin Gao. 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 Wanlin Gao. The network helps show where Wanlin Gao may publish in the future.
Co-authorship network of co-authors of Wanlin Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Wanlin Gao. A scholar is included among the top collaborators of Wanlin Gao 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 Wanlin Gao. Wanlin Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 13 | |
| 12 | 9 | |
| 13 | Design and realization of agricultural intelligent inspection robot. | 1 |
| 14 | 3 | |
| 15 | Research on crop identification method based on two-phase classification using remote sensing in large scale | 1 |
| 16 | An environment monitoring system for valuable chinese herbal medicine growing based on wireless sensor networks | 3 |
| 17 | Speed up Development of Agricultural Informatization and Improve Construction of Agricultural Modernization | 2 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 0 |
About Wanlin Gao
Wanlin Gao is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 129 papers that have together received 1.4k indexed citations. Recurring topics across this work include Smart Agriculture and AI (15 papers), Advanced Neural Network Applications (11 papers) and Spectroscopy and Chemometric Analyses (9 papers). The work is most often cited by research in Plant Science (576 citations), Analytical Chemistry (146 citations) and Computer Vision and Pattern Recognition (222 citations). Wanlin Gao has collaborated with scholars based in China, Pakistan and Germany. Frequent co-authors include Minjuan Wang, Jingdun Jia, Sha Tao, Abdul Mateen Khattak, Feng Huang, Yanzhao Ren, Hao Xia, Guan Gui, Feng Huang and Li Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Expert Systems with Applications.
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.