Mingbo Bian
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Ecology top 5%
- Remote Sensing in Agriculture
Papers in
- Ecology 17
- Remote Sensing in Agriculture 17
-
- Remote Sensing and LiDAR Applications 8
- Co-authors
- Haikuan Feng (19 shared papers)Yiguang Fan (19 shared papers)Guijun Yang (15 shared papers)Yanpeng Ma (17 shared papers)Jibo Yue (16 shared papers)Riqiang Chen (18 shared papers)Xiuliang Jin (6 shared papers)Yang Liu (9 shared papers)
In The Last Decade
Mingbo Bian
17 papers receiving 515 citations
Mingbo Bian's Hit Papers
Peers
Comparison fields: 5 of 41
- Analytical Chemistry 155
- Ecology 405
- Environmental Engineering 174
- Atmospheric Science 132
- Plant Science 250
Countries citing papers authored by Mingbo Bian
This map shows the geographic impact of Mingbo Bian'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 Mingbo Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingbo Bian more than expected).
Fields of papers citing papers by Mingbo Bian
This network shows the impact of papers produced by Mingbo Bian. 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 Mingbo Bian. The network helps show where Mingbo Bian may publish in the future.
Co-authors
The 24 scholars most cited alongside Mingbo Bian, 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 | 2023 | 77 | |
| 2 | 2023 | 75 | |
| 3 | Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery Hit paper breakdown → | 2024 | 65 |
| 4 | Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data Hit paper breakdown → | 2024 | 57 |
| 5 | Improving potato above ground biomass estimation combining hyperspectral data and harmonic decomposition techniques Hit paper breakdown → | 2024 | 53 |
| 6 | 2024 | 38 | |
| 7 | 2023 | 32 | |
| 8 | 2024 | 31 | |
| 9 | Utilizing UAV-based hyperspectral remote sensing combined with various agronomic traits to monitor potato growth and estimate yield Hit paper breakdown → | 2025 | 30 |
| 10 | 2024 | 18 | |
| 11 | Estimation of potato above-ground biomass based on the VGC-AGB model and deep learning Hit paper breakdown → | 2025 | 15 |
| 12 | 2023 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2025 | 5 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Mingbo Bian
Mingbo Bian is a scholar working on Ecology, Environmental Engineering, Analytical Chemistry, Food Science and Plant Science, having authored 19 papers that have together received 524 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (17 papers), Remote Sensing and LiDAR Applications (8 papers), Spectroscopy and Chemometric Analyses (7 papers), Potato Plant Research (6 papers), Remote Sensing and Land Use (3 papers), Water Quality Monitoring and Analysis (3 papers), Leaf Properties and Growth Measurement (3 papers) and Land Use and Ecosystem Services (2 papers). The work is most often cited by research in Analytical Chemistry (155 citations), Ecology (405 citations), Environmental Engineering (174 citations), Atmospheric Science (132 citations) and Plant Science (250 citations). Mingbo Bian has collaborated with scholars based in China and Germany. Frequent co-authors include Haikuan Feng, Yiguang Fan, Guijun Yang, Yanpeng Ma, Jibo Yue, Riqiang Chen, Xiuliang Jin, Yang Liu, Yang Liu and Xiaoyu Song. Their work appears in journals such as Computers and Electronics in Agriculture, Frontiers in Plant Science, European Journal of Agronomy, International Journal of Applied Earth Observation and Geoinformation and Field Crops Research.
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.