Xiaofeng Qi

868 total citations
15 papers, 560 citations indexed

About

Xiaofeng Qi is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaofeng Qi has authored 15 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaofeng Qi's work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Xiaofeng Qi is often cited by papers focused on AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Xiaofeng Qi collaborates with scholars based in China and United States. Xiaofeng Qi's co-authors include F. Palmieri, Yi Zhang, Lei Zhang, Yong Pi, Lituan Wang, Qing Lv, Yi Chen, Chen Yao, Junjie Hu and Francesco Palmieri and has published in prestigious journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Xiaofeng Qi

13 papers receiving 541 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaofeng Qi China 8 408 261 113 49 47 15 560
Fangfang Han China 14 242 0.6× 599 2.3× 159 1.4× 35 0.7× 15 0.3× 44 890
Hongbo Du United Kingdom 12 151 0.4× 143 0.5× 90 0.8× 12 0.2× 11 0.2× 57 435
Md. Rezwanul Haque Bangladesh 10 376 0.9× 235 0.9× 86 0.8× 54 1.1× 15 0.3× 14 665
Jing Zheng China 12 262 0.6× 165 0.6× 131 1.2× 128 2.6× 6 0.1× 36 606
Ioannis Valavanis Greece 14 174 0.4× 168 0.6× 153 1.4× 44 0.9× 11 0.2× 34 700
Boyu Zhang China 13 378 0.9× 218 0.8× 242 2.1× 66 1.3× 17 0.4× 58 720
Yijun Mao China 9 227 0.6× 94 0.4× 99 0.9× 6 0.1× 20 0.4× 30 483
Haoyuan Chen China 14 506 1.2× 327 1.3× 253 2.2× 66 1.3× 7 0.1× 25 813
Ivan Cruz‐Aceves Mexico 15 113 0.3× 303 1.2× 314 2.8× 77 1.6× 19 0.4× 52 656
Erdal Taşçı Türkiye 11 197 0.5× 182 0.7× 85 0.8× 47 1.0× 29 0.6× 39 532

Countries citing papers authored by Xiaofeng Qi

Since Specialization
Citations

This map shows the geographic impact of Xiaofeng Qi'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 Xiaofeng Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Qi more than expected).

Fields of papers citing papers by Xiaofeng Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaofeng Qi. 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 Xiaofeng Qi. The network helps show where Xiaofeng Qi may publish in the future.

Co-authorship network of co-authors of Xiaofeng Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Qi. A scholar is included among the top collaborators of Xiaofeng Qi 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 Xiaofeng Qi. Xiaofeng Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Qi, Xiaofeng, et al.. (2023). Research on spiking neural networks for brain-inspired computing. Journal of Image and Graphics. 28(2). 401–417. 1 indexed citations
2.
Pi, Yong, Qian Li, Xiaofeng Qi, Dan Deng, & Yi Zhang. (2022). Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss function. Applied Intelligence. 52(11). 12943–12956. 7 indexed citations
3.
Wang, Lituan, Lei Zhang, Xiaofeng Qi, & Yi Zhang. (2021). Deep Attention-Based Imbalanced Image Classification. IEEE Transactions on Neural Networks and Learning Systems. 33(8). 3320–3330. 39 indexed citations
4.
Qi, Xiaofeng, Lei Zhang, Chen Yao, et al.. (2021). Computer-aided diagnosis of breast cancer in ultrasonography images by deep learning. Neurocomputing. 472. 152–165. 28 indexed citations
5.
Qi, Xiaofeng, Junjie Hu, & Yi Zhang. (2021). Missed diagnoses detection by adversarial learning. Knowledge-Based Systems. 220. 106903–106903. 1 indexed citations
6.
Wang, Lituan, et al.. (2020). Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks. Medical Image Analysis. 61. 101665–101665. 107 indexed citations
7.
Pi, Yong, Yao Chen, Dan Deng, et al.. (2020). Automated diagnosis of multi-plane breast ultrasonography images using deep neural networks. Neurocomputing. 403. 371–382. 18 indexed citations
8.
Qi, Xiaofeng, Junjie Hu, Lei Zhang, Sen Bai, & Yi Zhang. (2020). Automated Segmentation of the Clinical Target Volume in the Planning CT for Breast Cancer Using Deep Neural Networks. IEEE Transactions on Cybernetics. 52(5). 3446–3456. 21 indexed citations
9.
Qi, Xiaofeng, et al.. (2019). Research on intelligent classification of multi-attribute safety information and determination of operating environment. Journal of Ambient Intelligence and Humanized Computing. 11(9). 3509–3520. 7 indexed citations
10.
Qi, Xiaofeng, Lei Zhang, Chen Yao, et al.. (2018). Automated diagnosis of breast ultrasonography images using deep neural networks. Medical Image Analysis. 52. 185–198. 179 indexed citations
11.
Qi, Xiaofeng & F. Palmieri. (2003). Analyses of the genetic algorithms in the continuous space. 4. 560–565.
12.
Qi, Xiaofeng & F. Palmieri. (1994). Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. Part II: Analysis of the diversification role of crossover. IEEE Transactions on Neural Networks. 5(1). 120–129. 49 indexed citations
13.
Qi, Xiaofeng & F. Palmieri. (1994). Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. Part I: Basic properties of selection and mutation. IEEE Transactions on Neural Networks. 5(1). 102–119. 96 indexed citations
14.
Qi, Xiaofeng & Francesco Palmieri. (1993). The Diversification Role of Crossover in the Genetic Algorithms. international conference on Genetic algorithms. 132–137. 7 indexed citations
15.
Qi, Xiaofeng & F. Palmieri. (1992). Analyses of the genetic algorithms in the continuous space. 2. 265–268 vol.2.

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.

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