Siyi Ding

36 total papers · 474 total citations
26 papers, 339 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 339 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 Advanced Numerical Analysis Techniques (3 papers). Siyi Ding is often cited by papers focused on Manufacturing Process and Optimization (6 papers), Anatomy and Medical Technology (5 papers) and Advanced Numerical Analysis Techniques (3 papers). Siyi Ding collaborates with scholars based in China, United States and Macao. Siyi Ding's co-authors include Michael I. Miga, Reid C. Thompson, Benoît M. Dawant, Prashanth Dumpuri, Aize Cao, Qing Xu, Xiaohu Zheng, Qi Wang, Jie Yang and Robert L. Galloway and has published in prestigious journals such as Expert Systems with Applications, Optics Express and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Siyi Ding

22 papers receiving 328 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Siyi Ding	139	118	55	51	49	26	339
Pedro M. Vieira	111 0.8×	80 0.7×	46 0.8×	52 1.0×	29 0.6×	23	351
Filip Šuligoj	71 0.5×	122 1.0×	23 0.4×	34 0.7×	53 1.1×	27	301
Yuanzheng Gong	182 1.3×	110 0.9×	16 0.3×	53 1.0×	69 1.4×	20	340
Tae Sung Kim	90 0.6×	47 0.4×	50 0.9×	26 0.5×	19 0.4×	37	334
Mobarakol Islam	117 0.8×	93 0.8×	102 1.9×	50 1.0×	17 0.3×	44	354
George Dwyer	77 0.6×	174 1.5×	40 0.7×	77 1.5×	27 0.6×	26	312
Jan Mikulka	40 0.3×	50 0.4×	42 0.8×	25 0.5×	43 0.9×	48	303
Yan Kang	67 0.5×	65 0.6×	31 0.6×	41 0.8×	44 0.9×	29	306
Nazim Haouchine	216 1.6×	184 1.6×	40 0.7×	174 3.4×	9 0.2×	29	391
Marta Niccolini	67 0.5×	121 1.0×	10 0.2×	118 2.3×	53 1.1×	30	326

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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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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