Xinling Shi

111 total papers · 708 total citations
67 papers, 487 citations indexed

About

Xinling Shi is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Xinling Shi has authored 67 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 19 papers in Biomedical Engineering and 17 papers in Artificial Intelligence. Recurrent topics in Xinling Shi's work include Medical Imaging and Analysis (13 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Xinling Shi is often cited by papers focused on Medical Imaging and Analysis (13 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Xinling Shi collaborates with scholars based in China, Canada and South Korea. Xinling Shi's co-authors include Yufeng Zhang, Yuanyuan Wang, Junhua Zhang, Jianhua Chen, Yali Gao, Junhua Zhang, Lawrence H. Le, Douglas L. Hill, James Raso and Edmond Lou and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, BMC Public Health and Environmental Research.

In The Last Decade

Xinling Shi

56 papers receiving 473 citations

Author Peers

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

Author						Papers	Cites
Xinling Shi	172	135	100	96	79	67	487
Rohan Banerjee	174 1.0×	108 0.8×	70 0.7×	163 1.7×	69 0.9×	25	414
Songül Albayrak	104 0.6×	89 0.7×	163 1.6×	35 0.4×	119 1.5×	81	506
Di Zhao	49 0.3×	100 0.7×	68 0.7×	37 0.4×	34 0.4×	65	463
Fan Pan	77 0.4×	50 0.4×	87 0.9×	106 1.1×	50 0.6×	55	533
Constantin Suciu	47 0.3×	108 0.8×	47 0.5×	113 1.2×	104 1.3×	59	547
Xiao-Yun Zhou	157 0.9×	106 0.8×	106 1.1×	28 0.3×	104 1.3×	32	460
Jonghyun Park	118 0.7×	76 0.6×	212 2.1×	61 0.6×	44 0.6×	65	525
Ming Yuchi	232 1.3×	21 0.2×	115 1.1×	90 0.9×	64 0.8×	89	538
Bing Wei	77 0.4×	30 0.2×	156 1.6×	41 0.4×	113 1.4×	47	533
E. Kinnen	78 0.5×	95 0.7×	54 0.5×	68 0.7×	18 0.2×	40	541

Countries citing papers authored by Xinling Shi

Since Specialization

Citations

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

Fields of papers citing papers by Xinling Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinling Shi

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