Siyi Ding

482 total citations
26 papers, 343 citations indexed

About

Siyi Ding is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Siyi Ding has authored 26 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Biomedical Engineering and 7 papers in Mechanical Engineering. Recurrent topics in Siyi Ding's work include Manufacturing Process and Optimization (6 papers), Anatomy and Medical Technology (5 papers) and Surgical Simulation and Training (3 papers). Siyi Ding is often cited by papers focused on Manufacturing Process and Optimization (6 papers), Anatomy and Medical Technology (5 papers) and Surgical Simulation and Training (3 papers). Siyi Ding collaborates with scholars based in China, United States and Kenya. Siyi Ding's co-authors include Benoît M. Dawant, Michael I. Miga, Reid C. Thompson, Prashanth Dumpuri, Aize Cao, Qing Xu, Xiaohu Zheng, Qi Wang, Jie Yang and Robert L. Galloway and has published in prestigious journals such as Optics Express, Expert Systems with Applications and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Siyi Ding

23 papers receiving 333 citations

Peers

Siyi Ding

CVPR

RNMI

SURGE

Filip Šuligoj Croatia

Yuanzheng Gong United States

Mitsuru Baba Japan

George Dwyer United Kingdom

Anindya Sen United States

Nazim Haouchine United States

Zhouping Wei Canada

Ge Fang Hong Kong

Greg Glosser United States

Paul M. Novotny United States

Filip Šuligoj Croatia

Siyi Ding

73 ×0.5

CVPR

126 ×1.1

25 ×0.5

RNMI

37 ×0.7

SURGE

53 ×1.0

Citations per year, relative to Siyi Ding Siyi Ding (= 1×) peers Filip Šuligoj

Countries citing papers authored by Siyi Ding

Since Specialization

Citations

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

Fields of papers citing papers by Siyi Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyi Ding

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

Ding, Siyi, et al.. (2025). Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline. Proceedings of the AAAI Conference on Artificial Intelligence. 39(10). 10357–10366. 2 indexed citations

Wei, Qunshan, Wei Zeng, Siyi Ding, et al.. (2025). Functionalization of Rice Husk for High Selective Extraction of Germanium. Processes. 13(5). 1367–1367.

Ding, Siyi, Xinghua Wang, Jinglin Zhang, et al.. (2024). Dynamic feature and context enhancement network for faster detection of small objects. Expert Systems with Applications. 265. 125732–125732. 3 indexed citations

Zhang, Jinglin, et al.. (2024). Representation Learning Based on Co-Evolutionary Combined With Probability Distribution Optimization for Precise Defect Location. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 11989–12003. 1 indexed citations

Ding, Siyi, et al.. (2023). Attention Mechanism-Based Deep Learning Denoising of Scanned Point Cloud for Rocket Tank Panel. 1682–1686.

Ding, Siyi, Sen Wang, Jie Zhang, & Xinhua Mao. (2023). A Diagnosis Method for Assembly Deviation Based on Structure-Variable Dynamic Bayesian Networks. 1–8.

Ding, Siyi, Xiaohu Zheng, Mingyu Wu, & Qirui Yang. (2022). A Novel Sustainable Processing Mode for Burr Classified Prediction of Weak Rigid Drilling Process Using a Fusion Modeling Method. Sustainability. 14(12). 7429–7429. 7 indexed citations

Ding, Siyi, et al.. (2021). A Probabilistic Approach for Three-Dimensional Variation Analysis in Aero-engine Rotors Assembly. International Journal of Aeronautical and Space Sciences. 22(5). 1092–1105. 17 indexed citations

Xiao, Lei, et al.. (2021). Remaining useful life prediction based on intentional noise injection and feature reconstruction. Reliability Engineering & System Safety. 215. 107871–107871. 28 indexed citations

10.

Jin, Sun, et al.. (2017). A new error compensation model for machining process based on differential motion vectors. The International Journal of Advanced Manufacturing Technology. 93(5-8). 2943–2954. 10 indexed citations

11.

Ding, Siyi & Jin Sun. (2016). Microbulging extrusion of aluminum alloy to fabricate micro/meso features for heat pipes. The International Journal of Advanced Manufacturing Technology. 86(9-12). 2975–2987. 7 indexed citations

12.

Dumpuri, Prashanth, Reid C. Thompson, Aize Cao, et al.. (2010). A Fast and Efficient Method to Compensate for Brain Shift for Tumor Resection Therapies Measured Between Preoperative and Postoperative Tomograms. IEEE Transactions on Biomedical Engineering. 57(6). 1285–1296. 33 indexed citations

13.

Chen, Ishita, Aaron M. Coffey, Siyi Ding, et al.. (2010). Intraoperative Brain Shift Compensation: Accounting for Dural Septa. IEEE Transactions on Biomedical Engineering. 58(3). 499–508. 40 indexed citations

14.

Ding, Siyi, Michael I. Miga, Reid C. Thompson, & Benoît M. Dawant. (2009). Robust vessel registration and tracking of microscope video images in tumor resection neurosurgery. 1496. 1043–1046. 2 indexed citations

15.

Ding, Siyi, Michael I. Miga, Reid C. Thompson, I. D. Garg, & Benoît M. Dawant. (2009). Automatic segmentation of cortical vessels in pre- and post-tumor resection laser range scan images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7261. 726104–726104. 6 indexed citations

16.

Cao, Aize, Reid C. Thompson, Prashanth Dumpuri, et al.. (2008). Laser range scanning for image‐guided neurosurgery: Investigation of image‐to‐physical space registrations. Medical Physics. 35(4). 1593–1605. 50 indexed citations

17.

Ding, Siyi, Michael I. Miga, Jack H. Noble, et al.. (2008). Semiautomatic Registration of Pre- and Postbrain Tumor Resection Laser Range Data: Method and Validation. IEEE Transactions on Biomedical Engineering. 56(3). 770–780. 27 indexed citations

18.

Ding, Siyi, Michael I. Miga, Reid C. Thompson, et al.. (2007). Estimation of intra-operative brain shift using a tracked laser range scanner. Conference proceedings. 49. 848–851. 19 indexed citations

19.

Xu, Qing, et al.. (2005). Color texture analysis using the wavelet-based hidden Markov model. Pattern Recognition Letters. 26(11). 1710–1719. 21 indexed citations

20.

Xu, Qing, Jie Yang, & Siyi Ding. (2005). Texture Segmentation using LBP embedded Region Competition. ELCVIA Electronic Letters on Computer Vision and Image Analysis. 5(1). 41–41. 22 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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