Chenghua Li
- Computer Vision and Pattern Recognition top 10%
- Renewable Energy, Sustainability and the Environment
- Materials Chemistry
- Electrical and Electronic Engineering
- Safety, Risk, Reliability and Quality
- Co-authors
- Hao DingYao LiuYe ZhengHongling ShiBilin WangXuanhua LiShaohui GuoYijin Wang
- Topics
- Fire Detection and Safety Systems (3 papers)Video Surveillance and Tracking Methods (3 papers)Advanced Neural Network Applications (2 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentComputer Vision and Pattern RecognitionSafety, Risk, Reliability and Quality
- Journals
- Advanced Energy MaterialsIEEE Transactions on Industrial InformaticsNeural Computing and Applications
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Chenghua Li
10 papers receiving 209 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 68
- Renewable Energy, Sustainability and the Environment 55
- Materials Chemistry 51
- Electrical and Electronic Engineering 48
- Safety, Risk, Reliability and Quality 25
Countries citing papers authored by Chenghua Li
This map shows the geographic impact of Chenghua 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 Chenghua Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenghua Li more than expected).
Fields of papers citing papers by Chenghua Li
This network shows the impact of papers produced by Chenghua 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 Chenghua Li. The network helps show where Chenghua Li may publish in the future.
Co-authorship network of co-authors of Chenghua Li
This figure shows the co-authorship network connecting the top 25 collaborators of Chenghua Li. A scholar is included among the top collaborators of Chenghua 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 Chenghua Li. Chenghua 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 | 5 | |
| 3 | 0 | |
| 4 | 37 | |
| 5 | 69 | |
| 6 | 22 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 26 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 25 |
About Chenghua Li
Chenghua Li is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Instrumentation, having authored 12 papers that have together received 214 indexed citations. Recurring topics across this work include Fire Detection and Safety Systems (3 papers), Video Surveillance and Tracking Methods (3 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (55 citations), Computer Vision and Pattern Recognition (68 citations) and Safety, Risk, Reliability and Quality (25 citations). Chenghua Li has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Hao Ding, Yao Liu, Ye Zheng, Hongling Shi, Bilin Wang, Xuanhua Li, Shaohui Guo, Yijin Wang, Yaru Song and Ana Jorge Sobrido. Their work appears in journals such as Advanced Energy Materials, IEEE Transactions on Industrial Informatics and Neural Computing and Applications.
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.