Liang Ge
- Building and Construction top 10%
- Transportation top 5%
- Environmental Engineering
- Artificial Intelligence
- Health, Toxicology and Mutagenesis
- Co-authors
- Siyu LiJunling LiuHang LiYaqian WangYi ZengJiancheng YangLan ShenYi Yang
- Topics
- Traffic Prediction and Management Techniques (10 papers)Transportation Planning and Optimization (6 papers)Bioinformatics and Genomic Networks (6 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Liang Ge
32 papers receiving 359 citations
Peers
Comparison fields: 5 of 91
- Building and Construction 100
- Transportation 74
- Environmental Engineering 68
- Artificial Intelligence 57
- Health, Toxicology and Mutagenesis 52
Countries citing papers authored by Liang Ge
This map shows the geographic impact of Liang Ge'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 Liang Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Ge more than expected).
Fields of papers citing papers by Liang Ge
This network shows the impact of papers produced by Liang Ge. 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 Liang Ge. The network helps show where Liang Ge may publish in the future.
Co-authorship network of co-authors of Liang Ge
This figure shows the co-authorship network connecting the top 25 collaborators of Liang Ge. A scholar is included among the top collaborators of Liang Ge 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 Liang Ge. Liang Ge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 0 | |
| 3 | 19 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | A multi-omics-based serial deep learning approach to predict clinical outcomes of single-agent anti-PD-1/PD-L1 immunotherapy in advanced stage non-small-cell lung cancer. | 60 |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 32 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | Study on decaying of shock vibration energy during transmission through multi-interfaces in gear-shaft-bearing-housing system | 2 |
| 18 | A new model for detector generation based on artificial immune system | 1 |
| 19 | Research on Practical Forecast Method of Passenger Volume for Urban Public Transport Hub | 1 |
| 20 | Storing and processing model for changeable data structure | 1 |
About Liang Ge
Liang Ge is a scholar working on Computational Mathematics, Transportation and Building and Construction, having authored 33 papers that have together received 362 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (10 papers), Transportation Planning and Optimization (6 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Transportation (74 citations), Building and Construction (100 citations) and Environmental Engineering (68 citations). Liang Ge has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Siyu Li, Junling Liu, Hang Li, Yaqian Wang, Yaqian Wang, Yi Zeng, Jiancheng Yang, Lan Shen, Yi Yang and Liliang Xia. Their work appears in journals such as Cancer Research, Journal of Controlled Release and Experimental Cell 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.