Jun Feng

2.9k total citations
192 papers, 1.9k citations indexed

About

Jun Feng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jun Feng has authored 192 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 63 papers in Artificial Intelligence and 38 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jun Feng's work include AI in cancer detection (20 papers), Medical Image Segmentation Techniques (18 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Jun Feng is often cited by papers focused on AI in cancer detection (20 papers), Medical Image Segmentation Techniques (18 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Jun Feng collaborates with scholars based in China, United States and United Kingdom. Jun Feng's co-authors include Xia Sun, Richard F. E. Sutcliffe, Hongyu Wang, Horace H. S. Ip, Lei Cui, Yi Gao, Ke Dong, Long Ma, Jing Zhang and Su‐Shing Chen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jun Feng

179 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Feng China 24 669 397 341 271 171 192 1.9k
Jinhui Xu United States 22 439 0.7× 287 0.7× 116 0.3× 388 1.4× 305 1.8× 182 2.0k
Giovanni Dimauro Italy 27 501 0.7× 656 1.7× 154 0.5× 89 0.3× 62 0.4× 130 1.9k
James Ford United States 24 477 0.7× 313 0.8× 260 0.8× 205 0.8× 34 0.2× 74 2.0k
Yu Xie China 24 1.8k 2.7× 379 1.0× 85 0.2× 117 0.4× 122 0.7× 88 2.5k
Jaesik Choi South Korea 18 996 1.5× 380 1.0× 109 0.3× 120 0.4× 31 0.2× 87 2.1k
Marius Kloft Germany 25 1.7k 2.6× 998 2.5× 82 0.2× 164 0.6× 203 1.2× 86 3.0k
Yaqing Wang China 20 1.7k 2.5× 657 1.7× 173 0.5× 130 0.5× 35 0.2× 81 3.3k
José M. Alonso Spain 28 1.6k 2.4× 199 0.5× 131 0.4× 224 0.8× 52 0.3× 117 3.1k

Countries citing papers authored by Jun Feng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Feng

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

All Works

20 of 20 papers shown
1.
Fan, Xuehui, et al.. (2025). Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm. Frontiers in Artificial Intelligence. 7. 1473837–1473837. 3 indexed citations
2.
Sun, Xia, et al.. (2025). A vision and language hierarchical alignment for multimodal aspect-based sentiment analysis. Pattern Recognition. 162. 111369–111369. 3 indexed citations
3.
Sun, Xia, et al.. (2025). Towards a Quantitative Competency Model for CS1 via Five-Channel Learning Sequences. 367–373. 1 indexed citations
4.
Feng, Jun, et al.. (2024). Cognitive Digital Twins of the natural environment: Framework and application. Engineering Applications of Artificial Intelligence. 139. 109587–109587. 8 indexed citations
5.
Feng, Jun, et al.. (2024). Multi-layer CNN-LSTM network with self-attention mechanism for robust estimation of nonlinear uncertain systems. Frontiers in Neuroscience. 18. 1379495–1379495. 11 indexed citations
6.
Liu, Feihong, et al.. (2024). GO: A two-step generative optimization method for point cloud registration. Computers & Graphics. 119. 103904–103904. 1 indexed citations
7.
Feng, Jun, et al.. (2024). Exploring Relations between Programming Learning Trajectories and Students' Majors. 177–180. 2 indexed citations
8.
Zhang, Dandan, et al.. (2023). CAMS-Net: An attention-guided feature selection network for rib segmentation in chest X-rays. Computers in Biology and Medicine. 156. 106702–106702. 4 indexed citations
9.
Zhao, Xuan, Yu Zhang, Guan Wang, et al.. (2023). Improving domain generalization performance for medical image segmentation via random feature augmentation. Methods. 218. 149–157. 5 indexed citations
10.
Sutcliffe, Richard F. E., et al.. (2023). A deep CNN architecture with novel pooling layer applied to two Sudanese Arabic sentiment data sets. Journal of Information Science. 52(1). 285–306. 8 indexed citations
11.
Sutcliffe, Richard F. E., et al.. (2023). Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other Languages. Applied Sciences. 13(23). 12587–12587. 7 indexed citations
12.
Sutcliffe, Richard F. E., et al.. (2023). Arabic sentiment analysis using GCL-based architectures and a customized regularization function. Engineering Science and Technology an International Journal. 43. 101433–101433. 4 indexed citations
13.
Sutcliffe, Richard F. E., et al.. (2022). A New Amharic Speech Emotion Dataset and Classification Benchmark. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(1). 1–22. 8 indexed citations
14.
Feng, Jun, et al.. (2022). FCRoute: A Fast FPGA Connection Router Using Soft Routing-Space Pruning Algorithm. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(3). 887–899. 5 indexed citations
15.
Liu, Feihong, Junwei Yang, Zhiming Cui, et al.. (2022). Does perfect filtering really guarantee perfect phase correction for diffusion MRI data?. Computerized Medical Imaging and Graphics. 103. 102160–102160. 2 indexed citations
16.
Sutcliffe, Richard F. E., et al.. (2021). Improving Arabic Sentiment Analysis Using CNN‐Based Architectures and Text Preprocessing. Computational Intelligence and Neuroscience. 2021(1). 5538791–5538791. 22 indexed citations
17.
Cui, Lei, et al.. (2021). Representation of Differential Learning Method for Mitosis Detection. Journal of Healthcare Engineering. 2021. 1–10. 2 indexed citations
18.
Chen, Jing, Jun Feng, Xia Sun, & Yang Liu. (2019). Co-Training Semi-Supervised Deep Learning for Sentiment Classification of MOOC Forum Posts. Symmetry. 12(1). 8–8. 16 indexed citations
19.
Feng, Jun, et al.. (2019). MOOC Dropout Prediction Using a Hybrid Algorithm Based on Decision Tree and Extreme Learning Machine. Mathematical Problems in Engineering. 2019(1). 62 indexed citations
20.
Tse, Chi K., et al.. (2008). Source Extraction in a Bandwidth Constrained Wireless Sensor Network. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1 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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