Gang Yu
- Building and Construction top 5%
- Industrial and Manufacturing Engineering top 5%
- Civil and Structural Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Geology top 10%
- Co-authors
- Min HuVijayan SugumaranYi WangXiaozhi ChenChunhua ShenZhipeng CaiChi ZhangWei Yin
- Topics
- Traffic Prediction and Management Techniques (6 papers)Software Reliability and Analysis Research (6 papers)Tunneling and Rock Mechanics (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingIEEE Access
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Gang Yu
38 papers receiving 416 citations
Peers
Comparison fields: 5 of 71
- Building and Construction 136
- Industrial and Manufacturing Engineering 126
- Civil and Structural Engineering 105
- Computer Vision and Pattern Recognition 61
- Geology 54
Countries citing papers authored by Gang Yu
This map shows the geographic impact of Gang Yu'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 Gang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Yu more than expected).
Fields of papers citing papers by Gang Yu
This network shows the impact of papers produced by Gang Yu. 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 Gang Yu. The network helps show where Gang Yu may publish in the future.
Co-authorship network of co-authors of Gang Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Yu. A scholar is included among the top collaborators of Gang Yu 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 Gang Yu. Gang Yu 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 | 11 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 22 | |
| 11 | 1 | |
| 12 | 31 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 69 | |
| 16 | 11 | |
| 17 | 2 | |
| 18 | Generation Algorithm of Train Control Center Test Case Based on Interface Parameters | 0 |
| 19 | Automated test data generation for safety critical software | 0 |
| 20 | 1 |
About Gang Yu
Gang Yu is a scholar working on Software, General Engineering and Building and Construction, having authored 47 papers that have together received 433 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (6 papers), Software Reliability and Analysis Research (6 papers) and Tunneling and Rock Mechanics (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (126 citations), Building and Construction (136 citations) and Geology (54 citations). Gang Yu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Min Hu, Vijayan Sugumaran, Yi Wang, Xiaozhi Chen, Chunhua Shen, Zhipeng Cai, Chi Zhang, Wei Yin, Kaixuan Wang and Lihua Shi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.
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.