Xiaofeng Zhao

403 total citations
21 papers, 281 citations indexed

About

Xiaofeng Zhao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Xiaofeng Zhao has authored 21 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Xiaofeng Zhao's work include Network Security and Intrusion Detection (3 papers), Neural Networks and Applications (2 papers) and Education and Work Dynamics (2 papers). Xiaofeng Zhao is often cited by papers focused on Network Security and Intrusion Detection (3 papers), Neural Networks and Applications (2 papers) and Education and Work Dynamics (2 papers). Xiaofeng Zhao collaborates with scholars based in China, United States and Hong Kong. Xiaofeng Zhao's co-authors include Heye Zhang, Guang Yang, Chengjia Wang, Giorgos Papanastasiou, Wei Wei, Zhikui Chen, Zhiguo Gong, Wei Wang, Ning Zhang and Longhui Zhang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Sustainability.

In The Last Decade

Xiaofeng Zhao

20 papers receiving 264 citations

Peers

Xiaofeng Zhao

CVPR

CNC

TRANS

J. de Curtò Spain

Yanli Shao China

Rehab F. Abdel‐Kader Egypt

Chi Jiang China

Guangquan Lu China

Shukuan Lin China

Behrooz Masoumi Iran

Amin Ullah Pakistan

Yunwen Chen China

J. de Curtò Spain

Xiaofeng Zhao

85 ×0.7

62 ×0.7

CVPR

30 ×0.8

CNC

18 ×0.6

14 ×0.7

TRANS

Citations per year, relative to Xiaofeng Zhao Xiaofeng Zhao (= 1×) peers J. de Curtò

Countries citing papers authored by Xiaofeng Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Xiaofeng Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofeng Zhao

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

All Works

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20 of 20 papers shown

Yuan, Xue, Bohui Zhang, & Xiaofeng Zhao. (2025). Nowcasting Firms’ Operating Activities from Satellite Data on Thermal Infrared Radiation. Journal of Financial and Quantitative Analysis. 1–39.

Liu, Yilun, Weibin Meng, Shimin Tao, et al.. (2024). Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation. 464–478. 2 indexed citations

Tao, Shimin, Xiaofeng Zhao, Ming Zhu, et al.. (2024). CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning. 5184–5197. 4 indexed citations

Zhang, Longhui, et al.. (2021). A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2646–2656. 35 indexed citations

Zhao, Xiaofeng, et al.. (2021). A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 14 indexed citations

Zhao, Xiaofeng, et al.. (2021). DEC: A deep‐learning based edge‐cloud orchestrated system for recyclable garbage detection. Concurrency and Computation Practice and Experience. 35(13). 4 indexed citations

Wang, Wei, Xiaofeng Zhao, Zhiguo Gong, et al.. (2020). An Attention-Based Deep Learning Framework for Trip Destination Prediction of Sharing Bike. IEEE Transactions on Intelligent Transportation Systems. 22(7). 4601–4610. 59 indexed citations

Zhang, Huijie, et al.. (2020). Predicting SSRI-Resistance: Clinical Features and tagSNPs Prediction Models Based on Support Vector Machine. Frontiers in Psychiatry. 11. 493–493. 8 indexed citations

Zhao, Xiaofeng, et al.. (2020). Discriminative Pose Analysis for Human Action Recognition. 1–6. 2 indexed citations

10.

Wang, Chengjia, et al.. (2019). SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT. IEEE Transactions on Industrial Informatics. 16(4). 2667–2676. 89 indexed citations

11.

Zhao, Xiaofeng, et al.. (2018). Effective Information Filtering Mining of Internet of Brain Things Based on Support Vector Machine. IEEE Access. 7. 191–202. 2 indexed citations

12.

Ruan, Junhu, Felix T.S. Chan, & Xiaofeng Zhao. (2018). Re-Planning the Intermodal Transportation of Emergency Medical Supplies with Updated Transfer Centers. Sustainability. 10(8). 2827–2827. 2 indexed citations

13.

Zhao, Hui, et al.. (2016). Predicting mobile users’ behaviors and locations using dynamic Bayesian networks. Journal of Management Analytics. 3(3). 191–205. 12 indexed citations

14.

Jiang, Hua & Xiaofeng Zhao. (2010). Study on the lab teaching system construction of information management and information system profession. 5. 364–366. 2 indexed citations

15.

Zhao, Xiaofeng, et al.. (2009). A Data-Fusion-Based Method for Intrusion Detection System in Networks. International Journal of Information Engineering and Electronic Business. 1(1). 32–40. 4 indexed citations

16.

Zhao, Xiaofeng, et al.. (2009). A Data Fusion Based Intrusion Detection Model. 29. 1017–1021. 9 indexed citations

17.

Jiang, Hua & Xiaofeng Zhao. (2008). Study on the Network Intrusion Detection Model Based on Genetic Neural Network. 25. 60–64. 4 indexed citations

18.

Ru, Xu, et al.. (2008). Target Detection With Improved Image Texture Feature Coding Method And Support Vector Machine. Zenodo (CERN European Organization for Nuclear Research). 12 indexed citations

19.

Zhao, Xiaofeng, et al.. (1988). An artificial neural minimum-variance estimator. IEEE International Conference on Neural Networks. 52. 499–506 vol.2. 8 indexed citations

20.

Zhao, Xiaofeng & Jerry M. Mendel. (1988). Minimum‐variance deconvolution using artificial neural networks. 738–741. 4 indexed citations

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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