Xinghui Dong

1.1k total citations
63 papers, 728 citations indexed

About

Xinghui Dong is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Xinghui Dong has authored 63 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 13 papers in Industrial and Manufacturing Engineering and 8 papers in Control and Systems Engineering. Recurrent topics in Xinghui Dong's work include Advanced Image and Video Retrieval Techniques (19 papers), Image Retrieval and Classification Techniques (18 papers) and Industrial Vision Systems and Defect Detection (10 papers). Xinghui Dong is often cited by papers focused on Advanced Image and Video Retrieval Techniques (19 papers), Image Retrieval and Classification Techniques (18 papers) and Industrial Vision Systems and Defect Detection (10 papers). Xinghui Dong collaborates with scholars based in China, United Kingdom and Australia. Xinghui Dong's co-authors include Junyu Dong, T.F. Cootes, Chris Taylor, Lin Qi, Huiyu Zhou, Mike J. Chantler, Hui Yu, Bin Wang, Menglu Liu and Jia Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Industrial Electronics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xinghui Dong

56 papers receiving 698 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinghui Dong China 15 284 143 129 116 91 63 728
Ju Jia Zou Australia 15 375 1.3× 205 1.4× 115 0.9× 37 0.3× 90 1.0× 52 693
Michael E. Mortenson 6 264 0.9× 189 1.3× 199 1.5× 118 1.0× 49 0.5× 7 1.0k
David W. Capson Canada 14 536 1.9× 119 0.8× 138 1.1× 74 0.6× 75 0.8× 80 877
Thangarajah Akilan Canada 17 437 1.5× 68 0.5× 53 0.4× 43 0.4× 207 2.3× 52 831
Yi Sun China 16 269 0.9× 129 0.9× 85 0.7× 124 1.1× 40 0.4× 87 836
Guifang Duan China 15 237 0.8× 142 1.0× 236 1.8× 39 0.3× 47 0.5× 71 630
Xiaojun Wu China 15 407 1.4× 174 1.2× 186 1.4× 54 0.5× 41 0.5× 112 893
Zhouwang Yang China 17 410 1.4× 217 1.5× 200 1.6× 40 0.3× 111 1.2× 95 1.5k
Viacheslav Voronin Russia 13 423 1.5× 97 0.7× 151 1.2× 20 0.2× 83 0.9× 171 762

Countries citing papers authored by Xinghui Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xinghui Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinghui Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Xinghui Dong. A scholar is included among the top collaborators of Xinghui Dong 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 Xinghui Dong. Xinghui Dong 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.
Xu, Bugao, et al.. (2025). Drone-Based Wall Crack Detection Using Model-Agnostic Meta-Learning. IEEE Transactions on Automation Science and Engineering. 22. 15116–15128.
3.
Wang, Yan, Huiyu Zhou, & Xinghui Dong. (2025). Terrain Scene Generation Using a Lightweight Vector Quantized Generative Adversarial Network. IEEE Transactions on Big Data. 11(3). 988–1000.
4.
Dui, Hongyan, et al.. (2024). Reliability model and emergency maintenance strategies for smart home systems. Reliability Engineering & System Safety. 251. 110402–110402. 7 indexed citations
5.
Dong, Xinghui, et al.. (2024). A multi-task segmentation and classification network for remote ship hull inspection. Ocean Engineering. 301. 117608–117608. 4 indexed citations
6.
Dong, Xinghui, et al.. (2024). Perception-Aware Texture Similarity Prediction. IEEE Transactions on Image Processing. 33. 3536–3549.
7.
Zhou, Huiyu, et al.. (2023). Deep Color-Corrected Multiscale Retinex Network for Underwater Image Enhancement. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 32 indexed citations
8.
Dong, Xinghui, et al.. (2023). A learnable support selection scheme for boosting few-shot segmentation. Pattern Recognition. 148. 110202–110202. 3 indexed citations
9.
Dong, Xinghui, et al.. (2021). Learning the Precise Feature for Cluster Assignment. IEEE Transactions on Cybernetics. 52(8). 8587–8600. 5 indexed citations
10.
Dong, Xinghui, Chris Taylor, & T.F. Cootes. (2021). Defect Classification and Detection Using a Multitask Deep One-Class CNN. IEEE Transactions on Automation Science and Engineering. 19(3). 1719–1730. 43 indexed citations
11.
Dong, Xinghui, Chris Taylor, & T.F. Cootes. (2020). A Random Forest-Based Automatic Inspection System for Aerospace Welds in X-Ray Images. IEEE Transactions on Automation Science and Engineering. 18(4). 2128–2141. 38 indexed citations
12.
Rigall, Eric, et al.. (2020). Graph-Based CNNs With Self-Supervised Module for 3D Hand Pose Estimation From Monocular RGB. IEEE Transactions on Circuits and Systems for Video Technology. 31(4). 1514–1525. 29 indexed citations
13.
Dong, Xinghui, Junyu Dong, & Mike J. Chantler. (2020). Perceptual Texture Similarity Estimation: An Evaluation of Computational Features. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(7). 2429–2448. 14 indexed citations
14.
Dong, Xinghui, Ying Gao, Junyu Dong, & Mike J. Chantler. (2020). The Importance of Phase to Texture Discrimination and Similarity. IEEE Transactions on Visualization and Computer Graphics. 27(9). 3755–3768.
15.
Ju, Yakun, et al.. (2019). MPS-Net: Learning to recover surface normal for multispectral photometric stereo. Neurocomputing. 375. 62–70. 15 indexed citations
16.
Ju, Yakun, et al.. (2019). A dual-cue network for multispectral photometric stereo. Pattern Recognition. 100. 107162–107162. 21 indexed citations
17.
Dong, Xinghui, et al.. (2018). Learning-Based Texture Synthesis and Automatic Inpainting Using Support Vector Machines. IEEE Transactions on Industrial Electronics. 66(6). 4777–4787. 11 indexed citations
18.
Dong, Xinghui & Mike J. Chantler. (2016). Perceptually Motivated Image Features Using Contours. IEEE Transactions on Image Processing. 25(11). 5050–5062. 13 indexed citations
19.
He, Bo, et al.. (2016). Monocular visual-IMU odometry using multi-channel image patch exemplars. Multimedia Tools and Applications. 76(9). 11975–12003. 8 indexed citations
20.
Dong, Xinghui. (2004). Information modeling for cooperative assembly design. Journal of Tsinghua University(Science and Technology).

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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