Xiaofeng Ling

575 total citations
25 papers, 391 citations indexed

About

Xiaofeng Ling is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaofeng Ling has authored 25 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Biomedical Engineering and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaofeng Ling's work include Advanced Image and Video Retrieval Techniques (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Conducting polymers and applications (3 papers). Xiaofeng Ling is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Conducting polymers and applications (3 papers). Xiaofeng Ling collaborates with scholars based in China, Australia and Canada. Xiaofeng Ling's co-authors include Hongqing Zhu, Pengyu Wang, Jianmei Zhang, Lianjun Wang, Jiansheng Li, Yaoyao Zhu, Jinyou Shen, Weiqing Han, Xiuyun Sun and Han Zhang and has published in prestigious journals such as Chemical Engineering Journal, Journal of Materials Chemistry and Chemosphere.

In The Last Decade

Xiaofeng Ling

21 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaofeng Ling China	9	141	125	75	68	58	25	391
Zhen Jia China	16	203 1.4×	117 0.9×	77 1.0×	12 0.2×	38 0.7×	88	707
Xinzhi Zhou China	10	27 0.2×	64 0.5×	39 0.5×	9 0.1×	31 0.5×	41	372
Yixian Chen China	10	26 0.2×	56 0.4×	40 0.5×	13 0.2×	34 0.6×	37	435
Yizhuo Li China	7	230 1.6×	27 0.2×	153 2.0×	51 0.8×	18 0.3×	12	537
Xianzheng Ma China	9	155 1.1×	62 0.5×	33 0.4×	6 0.1×	9 0.2×	23	340
Yang Tang China	9	88 0.6×	24 0.2×	58 0.8×	8 0.1×	14 0.2×	31	403
Liyuan Li China	11	156 1.1×	35 0.3×	264 3.5×	15 0.2×	28 0.5×	19	746
Chao Tang China	12	91 0.6×	55 0.4×	31 0.4×	5 0.1×	5 0.1×	52	411

Countries citing papers authored by Xiaofeng Ling

Since Specialization

Citations

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

Fields of papers citing papers by Xiaofeng Ling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofeng Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Ling. A scholar is included among the top collaborators of Xiaofeng Ling 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 Ling. Xiaofeng Ling 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

Sha, Dongyong, Ding Ding, Jianxing Zhang, et al.. (2025). Continuous manufacturing of solvent-driven poly(vinyl alcohol)-based flexible electrodes with vias conductive gels for sensitive skin-integrated electronics. Chemical Engineering Journal. 516. 164091–164091.

Liu, Yanbin, Yu Zhu, Hangyu Li, & Xiaofeng Ling. (2025). Hybrid CNN-RWKV with high-frequency enhancement for real-world chinese-english scene text image super-resolution. Applied Intelligence. 55(13).

Ling, Xiaofeng, et al.. (2025). FPGA-based 1D-CNN accelerator for real-time arrhythmia classification. Journal of Real-Time Image Processing. 22(2). 3 indexed citations

Zhu, Yu, et al.. (2024). TransMRE: Multiple Observation Planes Representation Encoding With Fully Sparse Voxel Transformers for 3-D Object Detection. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 9 indexed citations

Zhu, Yu, et al.. (2024). FDTNet: Enhancing frequency-aware representation for prohibited object detection from X-ray images via dual-stream transformers. Engineering Applications of Artificial Intelligence. 133. 108076–108076. 9 indexed citations

Li, Hangyu, et al.. (2024). Occluded person re-identification based on parallel triplet augmentation and parameter-free token spatial attention. Multimedia Tools and Applications. 84(8). 5265–5285.

Gao, Yang, Qi Li, Xiaofeng Ling, et al.. (2023). Laser Direct Writing of Flexible Large-Area Graphene Sheet for Electrical Impedance Tomography Based Multimode Sensing Purposes. IEEE Sensors Journal. 24(1). 750–756. 2 indexed citations

Zhu, Yu, et al.. (2021). TSRGAN: Real-world text image super-resolution based on adversarial learning and triplet attention. Neurocomputing. 455. 88–96. 24 indexed citations

Zhang, Jianmei, Hongqing Zhu, Pengyu Wang, & Xiaofeng Ling. (2021). ATT Squeeze U-Net: A Lightweight Network for Forest Fire Detection and Recognition. IEEE Access. 9. 10858–10870. 94 indexed citations

10.

Zhu, Yu, et al.. (2020). Learning multi-level domain invariant features for sketch re-identification. Neurocomputing. 403. 294–303. 24 indexed citations

11.

Zhu, Hongqing, et al.. (2020). Image clustering algorithm using superpixel segmentation and non‐symmetric Gaussian–Cauchy mixture model. IET Image Processing. 14(16). 4132–4143. 5 indexed citations

12.

Wan, Lijia, et al.. (2020). Mask-Free Preparation of Patterned Carbonized Carboxymethyl Cellulose on Fabrics for Flexible Electronics. ACS Applied Electronic Materials. 2(3). 855–862. 24 indexed citations

13.

Wang, Pengyu, Hongqing Zhu, & Xiaofeng Ling. (2020). Content-Based Superpixel Matching Using Spatially Constrained Student’s-t Mixture Model and Scale-Invariant Key-Superpixels. IEEE Access. 8. 31198–31213. 3 indexed citations

14.

Wang, Pengyu, Hongqing Zhu, & Xiaofeng Ling. (2019). Intravascular optical coherence tomography image segmentation based on Gaussian mixture model and adaptive fourth-order PDE. Signal Image and Video Processing. 14(1). 29–37. 4 indexed citations

15.

Zhang, Han, Hongqing Zhu, & Xiaofeng Ling. (2019). Polar coordinate sampling-based segmentation of overlapping cervical cells using attention U-Net and random walk. Neurocomputing. 383. 212–223. 30 indexed citations

16.

Chen, Song, et al.. (2018). Security-Aware Task Scheduling Using Untrusted Components in High-Level Synthesis. IEEE Access. 6. 15663–15678. 7 indexed citations

17.

Chen, Song, et al.. (2017). Integrating operation scheduling and binding for functional unit power-gating in high-level synthesis. Integration. 65. 308–321. 1 indexed citations

18.

Ling, Xiaofeng, Jiansheng Li, Yaoyao Zhu, et al.. (2012). Synthesis of nanoscale zero-valent iron/ordered mesoporous carbon for adsorption and synergistic reduction of nitrobenzene. Chemosphere. 87(6). 655–660. 96 indexed citations

19.

Ling, Xiaofeng. (1991). Inductive learning from good examples. International Joint Conference on Artificial Intelligence. 751–756. 5 indexed citations

20.

Ling, Xiaofeng & Lyle Ungar. (1989). Inventing theoretical terms in inductive learning.

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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