Sijie Wang

84 total papers · 877 total citations
40 papers, 554 citations indexed

About

Sijie Wang is a scholar working on Computer Vision and Pattern Recognition, Immunology and Artificial Intelligence. According to data from OpenAlex, Sijie Wang has authored 40 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Immunology and 6 papers in Artificial Intelligence. Recurrent topics in Sijie Wang's work include Image and Signal Denoising Methods (5 papers), Immune cells in cancer (4 papers) and Advanced Image Fusion Techniques (3 papers). Sijie Wang is often cited by papers focused on Image and Signal Denoising Methods (5 papers), Immune cells in cancer (4 papers) and Advanced Image Fusion Techniques (3 papers). Sijie Wang collaborates with scholars based in China, Canada and Singapore. Sijie Wang's co-authors include Alissa N. Antle, Jiangnan Zhang, Kewen Xia, Katie Seaborn, Theresa Jean Tanenbaum, Jian You, Lihua Luo, Junlei Zhang, Qingpo Li and Zhenyu Luo and has published in prestigious journals such as ACS Nano, Nature Nanotechnology and Biomaterials.

In The Last Decade

Sijie Wang

31 papers receiving 541 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Sijie Wang	127	97	81	79	62	40	554
Richa Gupta	216 1.7×	25 0.3×	29 0.4×	68 0.9×	49 0.8×	49	628
Ziming Li	52 0.4×	46 0.5×	28 0.3×	58 0.7×	11 0.2×	70	693
Qingxin Xia	60 0.5×	21 0.2×	28 0.3×	161 2.0×	77 1.2×	70	652
Konstantinos Tsiakas	55 0.4×	45 0.5×	50 0.6×	238 3.0×	30 0.5×	56	657
Caixia Liu	82 0.6×	22 0.2×	23 0.3×	43 0.5×	7 0.1×	57	674
Chengyao Wang	66 0.5×	168 1.7×	94 1.2×	59 0.7×	37 0.6×	44	678
Hung-Wei Lin	73 0.6×	63 0.6×	42 0.5×	37 0.5×	22 0.4×	57	547
Jiachen Wang	278 2.2×	48 0.5×	13 0.2×	49 0.6×	27 0.4×	74	658
Zhong Liu	232 1.8×	89 0.9×	215 2.7×	41 0.5×	21 0.3×	55	649
Changhao Liu	153 1.2×	147 1.5×	87 1.1×	134 1.7×	15 0.2×	28	634

Countries citing papers authored by Sijie Wang

Since Specialization

Citations

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

Fields of papers citing papers by Sijie Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sijie Wang

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