Haiying Li
- Fluid Flow and Transfer Processes top 2%
- Computational Mechanics top 5%
- Biomedical Engineering
- Automotive Engineering top 10%
- Aerospace Engineering
- Topics
- Advanced Combustion Engine Technologies (17 papers)Combustion and flame dynamics (13 papers)Biodiesel Production and Applications (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Haiying Li
37 papers receiving 447 citations
Peers
Comparison fields: 5 of 89
- Fluid Flow and Transfer Processes 256
- Computational Mechanics 167
- Biomedical Engineering 112
- Automotive Engineering 83
- Aerospace Engineering 63
Countries citing papers authored by Haiying Li
This map shows the geographic impact of Haiying Li'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 Haiying Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiying Li more than expected).
Fields of papers citing papers by Haiying Li
This network shows the impact of papers produced by Haiying Li. 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 Haiying Li. The network helps show where Haiying Li may publish in the future.
Co-authorship network of co-authors of Haiying Li
This figure shows the co-authorship network connecting the top 25 collaborators of Haiying Li. A scholar is included among the top collaborators of Haiying Li 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 Haiying Li. Haiying Li 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 15 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 12 | |
| 11 | 9 | |
| 12 | How Good Is Popularity? Summary Grading in Crowdsourcing. | 4 |
| 13 | A Measure of Text Formality as a Human Construct | 1 |
| 14 | Comparison of Google Translation with Human Translation | 24 |
| 15 | Comparing Two Measures for Formality. | 5 |
| 16 | 13 | |
| 17 | Effect of temperature on output characteristics of a photovoltaic power generation system | 0 |
| 18 | (2, 1)-Total Labeling Of Planar Graphs With Large Girth And Low Maximum Degree. | 0 |
| 19 | 1 | |
| 20 | Treatment of Molasses Waste Water through Anaerobic Fermentation | 0 |
About Haiying Li
Haiying Li is a scholar working on Fluid Flow and Transfer Processes, Energy Engineering and Power Technology and Computational Mechanics, having authored 47 papers that have together received 456 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (17 papers), Combustion and flame dynamics (13 papers) and Biodiesel Production and Applications (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (256 citations), Computational Mechanics (167 citations) and Automotive Engineering (83 citations). Haiying Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Han Wu, Zhicheng Shi, Lu Zhang, Arthur C. Graesser, Chia-Fon Lee, Xiangrong Li, Fushui Liu, Yang Wu, John Sabatini and Zhiqiang Cai. Their work appears in journals such as Scientific Reports, Annual Review of Psychology and Chemosphere.
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.