Xueting Cui
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research 5
- Evolutionary Algorithms and Applications 4
-
- Face and Expression Recognition 5
- Medical Image Segmentation Techniques 2
- Image Retrieval and Classification Techniques 2
-
- Brain Tumor Detection and Classification 2
-
- Artificial Immune Systems Applications 2
- Biosensors and Analytical Detection 2
- Co-authors
- Jiahao FanYing LiYupeng ChenQian XuTan WangGang WangBo PangJinhua Li
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Journals
- Food Chemistry (1 paper)Environment International (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xueting Cui
13 papers receiving 324 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 189
- Computer Vision and Pattern Recognition 80
- Computational Theory and Mathematics 45
- Health Information Management 9
- Control and Systems Engineering 26
Countries citing papers authored by Xueting Cui
This map shows the geographic impact of Xueting Cui'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 Xueting Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueting Cui more than expected).
Fields of papers citing papers by Xueting Cui
This network shows the impact of papers produced by Xueting Cui. 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 Xueting Cui. The network helps show where Xueting Cui may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xueting Cui, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 30 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 50 | |
| 11 | 2020 | 4 | |
| 12 | 2020 | 33 | |
| 13 | 2018 | 16 | |
| 14 | 2018 | 4 | |
| 15 | 2018 | 82 | |
| 16 | 2017 | 99 |
About Xueting Cui
Xueting Cui is a scholar working on Computer Vision and Pattern Recognition, Neurology and Biochemistry, having authored 16 papers that have together received 339 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Face and Expression Recognition (5 papers), Evolutionary Algorithms and Applications (4 papers), Brain Tumor Detection and Classification (2 papers), Medical Image Segmentation Techniques (2 papers), Artificial Immune Systems Applications (2 papers), Biosensors and Analytical Detection (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (189 citations), Computer Vision and Pattern Recognition (80 citations) and Computational Theory and Mathematics (45 citations). Xueting Cui has collaborated with scholars based in China and United States. Frequent co-authors include Jiahao Fan, Ying Li, Yupeng Chen, Qian Xu, Tan Wang, Gang Wang, Gang Wang, Ying Li, Bo Pang and Jinhua Li. Their work appears in journals such as Food Chemistry, Environment International and Expert Systems with 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.