Shaohua Jiang
- Building and Construction top 1%
- Management Science and Operations Research top 2%
- Artificial Intelligence top 10%
- Civil and Structural Engineering top 10%
- Geology top 5%
- Co-authors
- Mirosław J. SkibniewskiChengshuang SunNa WangLiyin ShenQingpeng ManJing WuYelin XuJohn F. Y. Yeung
- Topics
- BIM and Construction Integration (22 papers)Construction Project Management and Performance (9 papers)Infrastructure Maintenance and Monitoring (7 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Shaohua Jiang
55 papers receiving 761 citations
Peers
Comparison fields: 5 of 99
- Building and Construction 445
- Management Science and Operations Research 234
- Artificial Intelligence 175
- Civil and Structural Engineering 138
- Geology 136
Countries citing papers authored by Shaohua Jiang
This map shows the geographic impact of Shaohua Jiang'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 Shaohua Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaohua Jiang more than expected).
Fields of papers citing papers by Shaohua Jiang
This network shows the impact of papers produced by Shaohua Jiang. 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 Shaohua Jiang. The network helps show where Shaohua Jiang may publish in the future.
Co-authorship network of co-authors of Shaohua Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Shaohua Jiang. A scholar is included among the top collaborators of Shaohua Jiang 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 Shaohua Jiang. Shaohua Jiang 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 32 | |
| 10 | 70 | |
| 11 | Generative Adversarial User Model for Reinforcement Learning Based Recommendation System | 23 |
| 12 | Neural Model-Based Reinforcement Learning for Recommendation | 4 |
| 13 | 10 | |
| 14 | 162 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | Monitoring model based on kernel principal component analysis and multiple support vector machines and its application | 3 |
| 19 | Fault diagnosis method based on rough set and least squares support vector machine and its application | 4 |
| 20 | Knowledge representation for construction project cases based on framework | 1 |
About Shaohua Jiang
Shaohua Jiang is a scholar working on Building and Construction, Management Science and Operations Research and Geology, having authored 62 papers that have together received 799 indexed citations. Recurring topics across this work include BIM and Construction Integration (22 papers), Construction Project Management and Performance (9 papers) and Infrastructure Maintenance and Monitoring (7 papers). The work is most often cited by research in Building and Construction (445 citations), Geology (136 citations) and Management Science and Operations Research (234 citations). Shaohua Jiang has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Mirosław J. Skibniewski, Chengshuang Sun, Na Wang, Liyin Shen, Qingpeng Man, Jing Wu, Yelin Xu, John F. Y. Yeung, Liping Jiang and Zheng Yi Wu. Their work appears in journals such as Sustainability, Neurocomputing and Applied Sciences.
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.