Ge Gao
- Plant Science top 0.5%
- Molecular Biology top 5%
- Electrical and Electronic Engineering
- Building and Construction top 2%
- Computer Vision and Pattern Recognition top 5%
- Topics
- Context-Aware Activity Recognition Systems (5 papers)Online Learning and Analytics (3 papers)Mobile Learning in Education (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ge Gao
20 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Plant Science 2.6k
- Molecular Biology 2.0k
- Electrical and Electronic Engineering 301
- Building and Construction 272
- Computer Vision and Pattern Recognition 153
Countries citing papers authored by Ge Gao
This map shows the geographic impact of Ge 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 Ge Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Gao more than expected).
Fields of papers citing papers by Ge Gao
This network shows the impact of papers produced by Ge 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 Ge Gao. The network helps show where Ge Gao may publish in the future.
Co-authorship network of co-authors of Ge Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Ge Gao. A scholar is included among the top collaborators of Ge 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 Ge Gao. Ge 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 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | LOW-LEVEL SENSOR FUSION-BASED HUMAN TRACKING FOR MOBILE ROBOT | 4 |
| 13 | 0 | |
| 14 | GSDS 2.0: an upgraded gene feature visualization serverbreakdown → | 3241 |
| 15 | The smart thermostatbreakdown → | 391 |
| 16 | 78 | |
| 17 | 3 | |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 3 |
About Ge Gao
Ge Gao is a scholar working on Computer Science Applications, Physical Therapy, Sports Therapy and Rehabilitation and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 3.9k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (5 papers), Online Learning and Analytics (3 papers) and Mobile Learning in Education (3 papers). The work is most often cited by research in Plant Science (2.6k citations), Horticulture (33 citations) and Molecular Biology (2.0k citations). Ge Gao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Bo Hu, Jingchu Luo, An‐Yuan Guo, Jinpu Jin, He Zhang, Kamin Whitehouse, Jiakang Lu, Tamim Sookoor, Vijay Srinivasan and John A. Stankovic. Their work appears in journals such as Bioinformatics, Sensors and IEEE Sensors 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.