Da Zhang

63 total papers · 603 total citations
32 papers, 281 citations indexed

About

Da Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Da Zhang has authored 32 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Da Zhang's work include Advanced X-ray and CT Imaging (5 papers), High voltage insulation and dielectric phenomena (3 papers) and Radiation Dose and Imaging (3 papers). Da Zhang is often cited by papers focused on Advanced X-ray and CT Imaging (5 papers), High voltage insulation and dielectric phenomena (3 papers) and Radiation Dose and Imaging (3 papers). Da Zhang collaborates with scholars based in China, United States and United Kingdom. Da Zhang's co-authors include Jinfeng Cheng, Yuan-Fang Wang, Bob Liu, Xinhua Li, Xin Wang, Zizhu Fan, Qi Zhu, Xizeng Wu, Xiyang Dai and Hongbo Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Physics in Medicine and Biology.

In The Last Decade

Da Zhang

30 papers receiving 273 citations

Author Peers

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

Author						Papers	Cites
Da Zhang	112	66	61	54	47	32	281
Mingyan Jiang	82 0.7×	71 1.1×	42 0.7×	82 1.5×	21 0.4×	41	297
Jie Tian	104 0.9×	41 0.6×	51 0.8×	143 2.6×	15 0.3×	29	284
Siyang Li	95 0.8×	55 0.8×	14 0.2×	29 0.5×	34 0.7×	27	290
Gang Hu	45 0.4×	92 1.4×	25 0.4×	64 1.2×	62 1.3×	36	314
Paul Liu	80 0.7×	36 0.5×	49 0.8×	94 1.7×	170 3.6×	25	328
Jing Lu	70 0.6×	68 1.0×	24 0.4×	11 0.2×	32 0.7×	41	287
Rui Li	144 1.3×	19 0.3×	49 0.8×	50 0.9×	11 0.2×	36	282
Hongbin Guo	139 1.2×	36 0.5×	27 0.4×	124 2.3×	16 0.3×	22	323
Thomas A. Chmielewski	41 0.4×	40 0.6×	39 0.6×	58 1.1×	42 0.9×	25	271
Da Chen	116 1.0×	24 0.4×	42 0.7×	53 1.0×	20 0.4×	46	260

Countries citing papers authored by Da Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Da Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Zhang

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