Longqin Xu
- Water Science and Technology top 2%
- Environmental Engineering top 2%
- Industrial and Manufacturing Engineering top 5%
- Artificial Intelligence top 10%
- Nature and Landscape Conservation top 10%
- Co-authors
- Shuangyin LiuDaoliang LiHaijiang TaiYaoguang WeiQisheng DingYu JiangQiucheng LiShahbaz Gul Hassan
- Topics
- Water Quality Monitoring Technologies (15 papers)Hydrological Forecasting Using AI (12 papers)Water Quality Monitoring and Analysis (9 papers)
- Cited by
- Water Science and TechnologyEnvironmental EngineeringIndustrial and Manufacturing Engineering
- Journals
- IEEE AccessComputers and Electronics in AgricultureEngineering Applications of Artificial Intelligence
- Partner nations
- ChinaUnited KingdomGermany
In The Last Decade
Longqin Xu
20 papers receiving 695 citations
Peers
Comparison fields: 5 of 82
- Water Science and Technology 499
- Environmental Engineering 402
- Industrial and Manufacturing Engineering 181
- Artificial Intelligence 136
- Nature and Landscape Conservation 68
Countries citing papers authored by Longqin Xu
This map shows the geographic impact of Longqin Xu'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 Longqin Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longqin Xu more than expected).
Fields of papers citing papers by Longqin Xu
This network shows the impact of papers produced by Longqin Xu. 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 Longqin Xu. The network helps show where Longqin Xu may publish in the future.
Co-authorship network of co-authors of Longqin Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Longqin Xu. A scholar is included among the top collaborators of Longqin Xu 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 Longqin Xu. Longqin Xu 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 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 32 | |
| 8 | 46 | |
| 9 | 19 | |
| 10 | 3 | |
| 11 | 16 | |
| 12 | Prediction of pH value in industrialized aquaculture based on ensemble empirical mode decomposition and improved artificial bee colony algorithm. | 4 |
| 13 | 68 | |
| 14 | Forecasting model for pH value of aquaculture water quality based on PCA - MCAFA - LSSVM. | 7 |
| 15 | 7 | |
| 16 | 86 | |
| 17 | 100 | |
| 18 | 191 | |
| 19 | 3 | |
| 20 | 1 |
About Longqin Xu
Longqin Xu is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Environmental Engineering, having authored 22 papers that have together received 728 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (15 papers), Hydrological Forecasting Using AI (12 papers) and Water Quality Monitoring and Analysis (9 papers). The work is most often cited by research in Water Science and Technology (499 citations), Environmental Engineering (402 citations) and Industrial and Manufacturing Engineering (181 citations). Longqin Xu has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Shuangyin Liu, Daoliang Li, Haijiang Tai, Yaoguang Wei, Qisheng Ding, Yu Jiang, Qiucheng Li, Shahbaz Gul Hassan, Zhenbo Li and Yingyi Chen. Their work appears in journals such as IEEE Access, Computers and Electronics in Agriculture and Engineering Applications of Artificial Intelligence.
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.