Liangxing Shi
- Management of Technology and Innovation top 5%
- Business and International Management top 5%
- Management Science and Operations Research top 10%
- Statistics, Probability and Uncertainty top 5%
- Artificial Intelligence
- Topics
- Advanced Statistical Process Monitoring (8 papers)Advanced Statistical Methods and Models (5 papers)Karst Systems and Hydrogeology (5 papers)
- Cited by
- Business and International ManagementManagement of Technology and InnovationMedical Laboratory Technology
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Liangxing Shi
26 papers receiving 343 citations
Peers
Comparison fields: 5 of 82
- Management of Technology and Innovation 110
- Business and International Management 63
- Management Science and Operations Research 56
- Statistics, Probability and Uncertainty 49
- Artificial Intelligence 48
Countries citing papers authored by Liangxing Shi
This map shows the geographic impact of Liangxing Shi'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 Liangxing Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangxing Shi more than expected).
Fields of papers citing papers by Liangxing Shi
This network shows the impact of papers produced by Liangxing Shi. 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 Liangxing Shi. The network helps show where Liangxing Shi may publish in the future.
Co-authorship network of co-authors of Liangxing Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Liangxing Shi. A scholar is included among the top collaborators of Liangxing Shi 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 Liangxing Shi. Liangxing Shi 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 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | 10 | |
| 11 | 10 | |
| 12 | 6 | |
| 13 | 14 | |
| 14 | 2 | |
| 15 | 21 | |
| 16 | 91 | |
| 17 | 29 | |
| 18 | 5 | |
| 19 | 4 | |
| 20 | 0 |
About Liangxing Shi
Liangxing Shi is a scholar working on Statistics, Probability and Uncertainty, Geochemistry and Petrology and Earth-Surface Processes, having authored 32 papers that have together received 359 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (8 papers), Advanced Statistical Methods and Models (5 papers) and Karst Systems and Hydrogeology (5 papers). The work is most often cited by research in Business and International Management (63 citations), Management of Technology and Innovation (110 citations) and Medical Laboratory Technology (11 citations). Liangxing Shi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhen He, Wenqing Wu, Yingdong He, Yu Guan, Zhaojun Wang, Jun Zhang, Ruizhang Huang, Hongyi Sun, Dennis K. J. Lin and Wei Chen. Their work appears in journals such as Nature Communications, Geochimica et Cosmochimica Acta and The Science of The Total Environment.
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.