Hui Lv
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Sociology and Political Science
- Co-authors
- Doğan GürsoySi ShiChunyan XuZhen CuiJian YangChen ChenYong LiShilin Dong
- Topics
- Structural Analysis and Optimization (7 papers)Structural Engineering and Vibration Analysis (5 papers)Machine Learning and ELM (4 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessThe Journal of Physical Chemistry Letters
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hui Lv
44 papers receiving 550 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 237
- Computer Vision and Pattern Recognition 109
- Computer Networks and Communications 108
- Electrical and Electronic Engineering 78
- Sociology and Political Science 67
Countries citing papers authored by Hui Lv
This map shows the geographic impact of Hui Lv'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 Hui Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Lv more than expected).
Fields of papers citing papers by Hui Lv
This network shows the impact of papers produced by Hui Lv. 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 Hui Lv. The network helps show where Hui Lv may publish in the future.
Co-authorship network of co-authors of Hui Lv
This figure shows the co-authorship network connecting the top 25 collaborators of Hui Lv. A scholar is included among the top collaborators of Hui Lv 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 Hui Lv. Hui Lv 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 3 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 1 | |
| 20 | 2 |
About Hui Lv
Hui Lv is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering and Safety, Risk, Reliability and Quality, having authored 50 papers that have together received 565 indexed citations. Recurring topics across this work include Structural Analysis and Optimization (7 papers), Structural Engineering and Vibration Analysis (5 papers) and Machine Learning and ELM (4 papers). The work is most often cited by research in Artificial Intelligence (237 citations), Computer Vision and Pattern Recognition (109 citations) and Computer Networks and Communications (108 citations). Hui Lv has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Doğan Gürsoy, Si Shi, Chunyan Xu, Zhen Cui, Jian Yang, Chen Chen, Yong Li, Shilin Dong, Le Gu and Yang Li. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and The Journal of Physical Chemistry Letters.
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.