Ge Yan
- Electrical and Electronic Engineering
- Materials Chemistry
- Electronic, Optical and Magnetic Materials
- Renewable Energy, Sustainability and the Environment
- Artificial Intelligence
- Topics
- Radiomics and Machine Learning in Medical Imaging (2 papers)Advanced Neural Network Applications (2 papers)Advanced Measurement and Detection Methods (2 papers)
- Cited by
- Automotive EngineeringElectronic, Optical and Magnetic MaterialsInformation Systems and Management
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ge Yan
16 papers receiving 172 citations
Peers
Comparison fields: 5 of 72
- Electrical and Electronic Engineering 83
- Materials Chemistry 28
- Electronic, Optical and Magnetic Materials 28
- Renewable Energy, Sustainability and the Environment 22
- Artificial Intelligence 21
Countries citing papers authored by Ge Yan
This map shows the geographic impact of Ge Yan'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 Ge Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Yan more than expected).
Fields of papers citing papers by Ge Yan
This network shows the impact of papers produced by Ge Yan. 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 Ge Yan. The network helps show where Ge Yan may publish in the future.
Co-authorship network of co-authors of Ge Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Ge Yan. A scholar is included among the top collaborators of Ge Yan 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 Ge Yan. Ge Yan 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 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 23 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | Can Rural Land Stock-cooperation Increase Peasants’ Income? A Case Study of Four County-level Cities in Foshan during 1992—2009 | 1 |
| 18 | 91 |
About Ge Yan
Ge Yan is a scholar working on Computer Vision and Pattern Recognition, Otorhinolaryngology and Information Systems and Management, having authored 18 papers that have together received 174 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Neural Network Applications (2 papers) and Advanced Measurement and Detection Methods (2 papers). The work is most often cited by research in Automotive Engineering (19 citations), Electronic, Optical and Magnetic Materials (28 citations) and Information Systems and Management (10 citations). Ge Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xueping Gao, Huaiyong Zhu, You‐Zhao Lan, Deying Song, Feng Wu, Weina Qu, Huaming Wu, Chunsheng Zhu, Chaogang Tang and Wei Li. Their work appears in journals such as Remote Sensing, Electrochemical and Solid-State Letters and Computers in Biology and Medicine.
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.