Huanyu Jiang
- Plant Science top 2%
- Analytical Chemistry top 1%
- Ecology top 10%
- Environmental Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Jinzhu LuYibin YingMingchuan ZhouChangying LiFumiomi TakedaLe WangWeinan ShiH.J. van de Zedde
- Topics
- Smart Agriculture and AI (29 papers)Spectroscopy and Chemometric Analyses (20 papers)Leaf Properties and Growth Measurement (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEChemical Engineering Journal
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Huanyu Jiang
80 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Plant Science 1.1k
- Analytical Chemistry 360
- Ecology 261
- Environmental Engineering 152
- Computer Vision and Pattern Recognition 122
Countries citing papers authored by Huanyu Jiang
This map shows the geographic impact of Huanyu Jiang'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 Huanyu Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huanyu Jiang more than expected).
Fields of papers citing papers by Huanyu Jiang
This network shows the impact of papers produced by Huanyu Jiang. 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 Huanyu Jiang. The network helps show where Huanyu Jiang may publish in the future.
Co-authorship network of co-authors of Huanyu Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Huanyu Jiang. A scholar is included among the top collaborators of Huanyu Jiang 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 Huanyu Jiang. Huanyu Jiang 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 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 13 | |
| 13 | 14 | |
| 14 | Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classificationbreakdown → | 310 |
| 15 | 98 | |
| 16 | Design of differential transplanting mechanism for zigzag wide-narrow row rice pot seedlings. | 1 |
| 17 | 3 | |
| 18 | Recognition of overlapping tomatoes based on edge curvature analysis. | 15 |
| 19 | Application of machine vision on automatic seedling transplanting. | 14 |
| 20 | 12 |
About Huanyu Jiang
Huanyu Jiang is a scholar working on Analytical Chemistry, Plant Science and Civil and Structural Engineering, having authored 85 papers that have together received 1.5k indexed citations. Recurring topics across this work include Smart Agriculture and AI (29 papers), Spectroscopy and Chemometric Analyses (20 papers) and Leaf Properties and Growth Measurement (17 papers). The work is most often cited by research in Analytical Chemistry (360 citations), Plant Science (1.1k citations) and Environmental Engineering (152 citations). Huanyu Jiang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Jinzhu Lu, Yibin Ying, Mingchuan Zhou, Changying Li, Fumiomi Takeda, Le Wang, Weinan Shi, H.J. van de Zedde, Gert Kootstra and Junhua Tong. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Chemical Engineering 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.