Xiaoxin Fang

997 total citations · 1 hit paper
16 papers, 709 citations indexed

About

Xiaoxin Fang is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Computational Mechanics. According to data from OpenAlex, Xiaoxin Fang has authored 16 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Industrial and Manufacturing Engineering and 4 papers in Computational Mechanics. Recurrent topics in Xiaoxin Fang's work include Industrial Vision Systems and Defect Detection (5 papers), Surface Roughness and Optical Measurements (4 papers) and Neural Networks and Reservoir Computing (2 papers). Xiaoxin Fang is often cited by papers focused on Industrial Vision Systems and Defect Detection (5 papers), Surface Roughness and Optical Measurements (4 papers) and Neural Networks and Reservoir Computing (2 papers). Xiaoxin Fang collaborates with scholars based in China, Finland and United Kingdom. Xiaoxin Fang's co-authors include Qiwu Luo, Yichuang Sun, Li Liu, Chunhua Yang, Lu Tian, Chunhua Yang, Congcong Li, Jiaqiu Ai, Enhua Wu and Jian Zhou and has published in prestigious journals such as IEEE Access, Sensors and Applied Surface Science.

In The Last Decade

Xiaoxin Fang

16 papers receiving 687 citations

Hit Papers

Automated Visual Defect Detection for Flat Steel Surface:... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Automated Visual Defect Detection for Flat Steel Surface: A Survey
    2020 352 citations Qiwu Luo, Xiaoxin Fang et al. IEEE Transactions on Instrumentation and Measurement profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoxin Fang China 9 500 302 187 184 146 16 709
Shuang Mei China 7 504 1.0× 272 0.9× 120 0.6× 145 0.8× 75 0.5× 9 705
Gabriel Fricout France 8 219 0.4× 117 0.4× 118 0.6× 87 0.5× 56 0.4× 16 395
K. A. Desai India 14 373 0.7× 96 0.3× 498 2.7× 97 0.5× 76 0.5× 65 749
Guizhong Fu China 9 247 0.5× 202 0.7× 170 0.9× 92 0.5× 87 0.6× 21 534
Yong-Ju Jeon South Korea 14 304 0.6× 143 0.5× 168 0.9× 152 0.8× 83 0.6× 31 462
Chao-Ching Ho Taiwan 13 83 0.2× 152 0.5× 169 0.9× 192 1.0× 24 0.2× 83 539
Zhonghe Ren China 4 249 0.5× 134 0.4× 97 0.5× 55 0.3× 44 0.3× 6 398
Qingbin Tong China 15 53 0.1× 73 0.2× 242 1.3× 115 0.6× 26 0.2× 45 583

Countries citing papers authored by Xiaoxin Fang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxin Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxin Fang

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

All Works

16 of 16 papers shown
1.
Fang, Xiaoxin, et al.. (2024). Noise-Reduced Anomaly Attention Transformer for Intelligent Microscale Defects Detection in Metal Materials. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 2 indexed citations
2.
Fang, Xiaoxin, et al.. (2023). Class incremental learning via dynamic regeneration with task-adaptive distillation. Computer Communications. 215. 130–139. 1 indexed citations
3.
Liu, Xiaowei, Lei Yu, Xiaoxin Fang, et al.. (2023). CD147 monoclonal antibody attenuates abdominal aortic aneurysm formation in angiotensin II-Infused apoE-/- mice. International Immunopharmacology. 122. 110526–110526. 3 indexed citations
4.
Xu, Cheng, Xiaowei Liu, Xiaoxin Fang, et al.. (2022). Single-Cell RNA Sequencing Reveals Smooth Muscle Cells Heterogeneity in Experimental Aortic Dissection. Frontiers in Genetics. 13. 836593–836593. 10 indexed citations
5.
Fang, Xiaoxin, et al.. (2022). Generative Image Inpainting for Fine Details. 11215. 1–6. 1 indexed citations
6.
Dai, Yi, Hao Wan, Xiaoxin Fang, & Xiong Chen. (2022). Critical Link Identification Method Based on Machine Learning. 1–5. 1 indexed citations
7.
8.
Fang, Xiaoxin, et al.. (2020). Research Progress of Automated Visual Surface Defect Detection for Industrial Metal Planar Materials. Sensors. 20(18). 5136–5136. 87 indexed citations
9.
Luo, Qiwu, Xiaoxin Fang, Li Liu, Chunhua Yang, & Yichuang Sun. (2020). Automated Visual Defect Detection for Flat Steel Surface: A Survey. IEEE Transactions on Instrumentation and Measurement. 69(3). 626–644. 352 indexed citations breakdown →
10.
Luo, Qiwu, Xiaoxin Fang, Jian Zhou, et al.. (2020). Automated Visual Defect Classification for Flat Steel Surface: A Survey. IEEE Transactions on Instrumentation and Measurement. 69(12). 9329–9349. 88 indexed citations
11.
Luo, Qiwu, Xiaoxin Fang, Yichuang Sun, Jiaqiu Ai, & Chunhua Yang. (2020). Self-Learning Hot Data Prediction: Where Echo State Network Meets NAND Flash Memories. IEEE Transactions on Circuits and Systems I Regular Papers. 67(3). 939–950. 11 indexed citations
12.
Sheng, Bin, Ping Li, Xiaoxin Fang, Ping Tan, & Enhua Wu. (2019). Depth-Aware Motion Deblurring Using Loopy Belief Propagation. IEEE Transactions on Circuits and Systems for Video Technology. 30(4). 955–969. 43 indexed citations
13.
Luo, Qiwu, Xiaoxin Fang, Yichuang Sun, et al.. (2019). Surface Defect Classification for Hot-Rolled Steel Strips by Selectively Dominant Local Binary Patterns. IEEE Access. 7. 23488–23499. 59 indexed citations
14.
Fang, Xiaoxin, et al.. (2016). Enhanced photocatalytic activity of C@ZnO core-shell nanostructures and its photoluminescence property. Applied Surface Science. 389. 303–310. 40 indexed citations
15.
Fang, Xiaoxin, et al.. (2016). Automatic GUI test by using SIFT matching. China Communications. 13(9). 227–236. 1 indexed citations
16.
Qiao, Siyuan, Xiaoxin Fang, Bin Sheng, Wen Wu, & Enhua Wu. (2015). Structure-aware QR Code abstraction. The Visual Computer. 31(6-8). 1123–1133. 9 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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