Liangxiu Han
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Ecology top 5%
- Computer Vision and Pattern Recognition top 2%
- Plant Science top 10%
- Co-authors
- Xin ZhangDonald C. RundquistJano van HemertLianghao HanMuhammad Salman HaleemDaoqiang ZhangLiang SunWenyong Zhu
- Topics
- Distributed and Parallel Computing Systems (15 papers)Remote Sensing in Agriculture (10 papers)Cloud Computing and Resource Management (10 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Liangxiu Han
98 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 475
- Computer Networks and Communications 463
- Ecology 380
- Computer Vision and Pattern Recognition 373
- Plant Science 359
Countries citing papers authored by Liangxiu Han
This map shows the geographic impact of Liangxiu Han'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 Liangxiu Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangxiu Han more than expected).
Fields of papers citing papers by Liangxiu Han
This network shows the impact of papers produced by Liangxiu Han. 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 Liangxiu Han. The network helps show where Liangxiu Han may publish in the future.
Co-authorship network of co-authors of Liangxiu Han
This figure shows the co-authorship network connecting the top 25 collaborators of Liangxiu Han. A scholar is included among the top collaborators of Liangxiu Han 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 Liangxiu Han. Liangxiu Han 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 | 10 | |
| 3 | 3 | |
| 4 | 22 | |
| 5 | 6 | |
| 6 | 21 | |
| 7 | 133 | |
| 8 | 37 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 43 | |
| 12 | A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Imagesbreakdown → | 244 |
| 13 | 6 | |
| 14 | 43 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | A New Multifractal Traffic Model Based on the Wavelet Transform. | 2 |
| 19 | [In situ localization of mRNA gelatinases in cerebral aneurysms]. | 2 |
| 20 | The response of both surface reflectance and the underwater light field to various levels of suspended sediments: preliminary results | 54 |
About Liangxiu Han
Liangxiu Han is a scholar working on Information Systems and Management, Computer Networks and Communications and Building and Construction, having authored 105 papers that have together received 2.6k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (15 papers), Remote Sensing in Agriculture (10 papers) and Cloud Computing and Resource Management (10 papers). The work is most often cited by research in Neurology (214 citations), Ophthalmology (201 citations) and Media Technology (190 citations). Liangxiu Han has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Xin Zhang, Donald C. Rundquist, Jano van Hemert, Lianghao Han, Muhammad Salman Haleem, Daoqiang Zhang, Liang Sun, Wenyong Zhu, Yue Shi and Baihua Li. Their work appears in journals such as Bioinformatics, PLoS ONE 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.