Hanxiao Shi
- Artificial Intelligence top 10%
- Information Systems top 10%
- Sociology and Political Science
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Xiaojun LiAnlei WeiXiaozhen XuHao HuGuodong ZhouMin WangShoushan LiQi Liu
- Topics
- Advanced Text Analysis Techniques (8 papers)Sentiment Analysis and Opinion Mining (7 papers)Text and Document Classification Technologies (5 papers)
- Journals
- Bioresource TechnologyJournal of Environmental ManagementEnvironmental Science and Pollution Research
- Partner nations
- China
In The Last Decade
Hanxiao Shi
24 papers receiving 266 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 160
- Information Systems 51
- Sociology and Political Science 42
- Electrical and Electronic Engineering 31
- Industrial and Manufacturing Engineering 31
Countries citing papers authored by Hanxiao Shi
This map shows the geographic impact of Hanxiao 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 Hanxiao Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanxiao Shi more than expected).
Fields of papers citing papers by Hanxiao Shi
This network shows the impact of papers produced by Hanxiao 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 Hanxiao Shi. The network helps show where Hanxiao Shi may publish in the future.
Co-authorship network of co-authors of Hanxiao Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Hanxiao Shi. A scholar is included among the top collaborators of Hanxiao 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 Hanxiao Shi. Hanxiao 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 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in Chinabreakdown → | 80 |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 2 | |
| 12 | Interactive gender inference with integer linear programming | 7 |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 70 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | Research on Evaluation Model of Teaching Quality Based on AHP Algorithm | 1 |
| 20 | 48 |
About Hanxiao Shi
Hanxiao Shi is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Ecological Modeling, having authored 27 papers that have together received 288 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (8 papers), Sentiment Analysis and Opinion Mining (7 papers) and Text and Document Classification Technologies (5 papers). The work is most often cited by research in Artificial Intelligence (160 citations), Industrial and Manufacturing Engineering (31 citations) and Information Systems (51 citations). Hanxiao Shi has collaborated with scholars based in China. Frequent co-authors include Xiaojun Li, Anlei Wei, Xiaozhen Xu, Hao Hu, Guodong Zhou, Xiaojun Li, Min Wang, Shoushan Li, Qi Liu and Wei Sun. Their work appears in journals such as Bioresource Technology, Journal of Environmental Management and Environmental Science and Pollution 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.