Qiude Li
Impact in
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- Hydrological Forecasting Using AI
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Topic Modeling
- Machine Learning and ELM
Papers in
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- Machine Learning and ELM 2
- Domain Adaptation and Few-Shot Learning 2
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- Blockchain Technology Applications and Security 5
- Co-authors
- Qingyu Xiong (11 shared papers)Min Gao (8 shared papers)Chao Wu (4 shared papers)Hualing Yi (2 shared papers)Chao Wu (2 shared papers)Wenlong Yi (5 shared papers)Kaige Wang (2 shared papers)Kai Wang (2 shared papers)
In The Last Decade
Qiude Li
22 papers receiving 293 citations
Peers
Comparison fields: 5 of 75
- Environmental Engineering 62
- Artificial Intelligence 114
- Water Science and Technology 49
- Mechanics of Materials 45
- Industrial and Manufacturing Engineering 14
Countries citing papers authored by Qiude Li
This map shows the geographic impact of Qiude 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 Qiude Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiude Li more than expected).
Fields of papers citing papers by Qiude Li
This network shows the impact of papers produced by Qiude 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 Qiude Li. The network helps show where Qiude Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Qiude Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 70 | |
| 2 | 2021 | 28 | |
| 3 | 2021 | 27 | |
| 4 | 2021 | 26 | |
| 5 | 2023 | 25 | |
| 6 | 2020 | 20 | |
| 7 | 2020 | 20 | |
| 8 | 2022 | 18 | |
| 9 | 2023 | 15 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2019 | 5 | |
| 13 | 2019 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 1 |
About Qiude Li
Qiude Li is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Mechanics of Materials, having authored 24 papers that have together received 298 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (5 papers), Face and Expression Recognition (3 papers), Flow Measurement and Analysis (3 papers), Hydrological Forecasting Using AI (2 papers), Water Quality Monitoring Technologies (2 papers), Air Quality Monitoring and Forecasting (2 papers), Machine Learning and ELM (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Environmental Engineering (62 citations), Artificial Intelligence (114 citations), Water Science and Technology (49 citations), Mechanics of Materials (45 citations) and Industrial and Manufacturing Engineering (14 citations). Qiude Li has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Qingyu Xiong, Min Gao, Chao Wu, Hualing Yi, Chao Wu, Wenlong Yi, Kaige Wang, Kai Wang, Zhi‐Sheng Ye and Liping Fu. Their work appears in journals such as Neurocomputing, Applied Intelligence, Measurement Science and Technology, Pattern Recognition Letters and Process Safety and Environmental Protection.
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.