Xiaocui Li
Impact in
- Environmental Engineering top 10%
- Soil Geostatistics and Mapping
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Advanced Image and Video Retrieval Techniques 6
- Face and Expression Recognition 4
-
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Ke Zhou (4 shared papers)Qijin Wan (1 shared paper)Ruili Shen (1 shared paper)Junjie Wang (1 shared paper)Yongsheng Hong (1 shared paper)Hang Cheng (1 shared paper)Tiezhu Shi (1 shared paper)Yuan Wan (1 shared paper)
In The Last Decade
Xiaocui Li
17 papers receiving 339 citations
Peers
Comparison fields: 5 of 80
- Environmental Engineering 79
- Analytical Chemistry 52
- Media Technology 46
- Artificial Intelligence 161
- Health, Toxicology and Mutagenesis 62
Countries citing papers authored by Xiaocui Li
This map shows the geographic impact of Xiaocui 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 Xiaocui Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaocui Li more than expected).
Fields of papers citing papers by Xiaocui Li
This network shows the impact of papers produced by Xiaocui 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 Xiaocui Li. The network helps show where Xiaocui Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaocui 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 127 | |
| 2 | 2014 | 73 | |
| 3 | 2019 | 37 | |
| 4 | 2021 | 32 | |
| 5 | 2020 | 30 | |
| 6 | 2015 | 14 | |
| 7 | 2024 | 11 | |
| 8 | 2020 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2013 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2019 | 1 | |
| 17 | Study on the Technology of Uranium Resource Prediction and Evaluation With Big Data | 2019 | 1 |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Xiaocui Li
Xiaocui Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Ocean Engineering and Information Systems, having authored 20 papers that have together received 347 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Face and Expression Recognition (4 papers), Geophysical and Geoelectrical Methods (2 papers), Seismic Imaging and Inversion Techniques (2 papers), Geophysical Methods and Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), IoT and Edge/Fog Computing (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Environmental Engineering (79 citations), Analytical Chemistry (52 citations), Media Technology (46 citations), Artificial Intelligence (161 citations) and Health, Toxicology and Mutagenesis (62 citations). Xiaocui Li has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Ke Zhou, Qijin Wan, Ruili Shen, Junjie Wang, Yongsheng Hong, Hang Cheng, Tiezhu Shi, Yuan Wan, Yiyun Chen and Xiaofang Zhou. Their work appears in journals such as Future Generation Computer Systems, World Wide Web, Geoderma, IEEE Transactions on Intelligent Transportation Systems 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.