Xiongjun Zhang

91 total papers · 1.4k total citations
50 papers, 792 citations indexed

About

Xiongjun Zhang is a scholar working on Computational Mechanics, Computational Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiongjun Zhang has authored 50 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 21 papers in Computational Mathematics and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiongjun Zhang's work include Sparse and Compressive Sensing Techniques (29 papers), Tensor decomposition and applications (21 papers) and Image and Signal Denoising Methods (15 papers). Xiongjun Zhang is often cited by papers focused on Sparse and Compressive Sensing Techniques (29 papers), Tensor decomposition and applications (21 papers) and Image and Signal Denoising Methods (15 papers). Xiongjun Zhang collaborates with scholars based in China, Hong Kong and Canada. Xiongjun Zhang's co-authors include Michael K. Ng, Minru Bai, Guang‐Jing Song, Duo Qiu, Xi-Le Zhao, Teng-Yu Ji, Qianqian Shao, Ting‐Zhu Huang, Guyan Ni and Chunfeng Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Theory.

In The Last Decade

Xiongjun Zhang

42 papers receiving 765 citations

Author Peers

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

Author						Papers	Cites
Xiongjun Zhang	520	432	412	87	77	50	792
Xiaolin Xiao	232 0.4×	138 0.3×	660 1.6×	32 0.4×	79 1.0×	28	901
C. Eric	144 0.3×	168 0.4×	157 0.4×	77 0.9×	71 0.9×	41	735
Guang‐Jing Song	190 0.4×	200 0.5×	178 0.4×	38 0.4×	44 0.6×	43	700
Ajit Rajwade	207 0.4×	42 0.1×	416 1.0×	70 0.8×	67 0.9×	60	684
Konstantin Usevich	164 0.3×	72 0.2×	173 0.4×	13 0.1×	114 1.5×	55	673
Ke Wei	483 0.9×	33 0.1×	297 0.7×	49 0.6×	216 2.8×	30	777
Deyan Xie	148 0.3×	132 0.3×	587 1.4×	25 0.3×	49 0.6×	26	809
Zhigang Jia	170 0.3×	83 0.2×	415 1.0×	9 0.1×	81 1.1×	52	842
Sébastian Miron	134 0.3×	56 0.1×	90 0.2×	54 0.6×	421 5.5×	40	863
Xiangqian Liu	187 0.4×	120 0.3×	75 0.2×	9 0.1×	361 4.7×	46	732

Countries citing papers authored by Xiongjun Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Xiongjun Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiongjun Zhang

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