Junqian Wang

18 total papers · 691 total citations
16 papers, 522 citations indexed

About

Junqian Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Junqian Wang has authored 16 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Junqian Wang's work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Face and Expression Recognition (3 papers). Junqian Wang is often cited by papers focused on AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Face and Expression Recognition (3 papers). Junqian Wang collaborates with scholars based in China, Macao and United States. Junqian Wang's co-authors include Yong Xu, Jie Wen, Lunke Fei, Bob Zhang, Ke Yan, Zheng Zhang, Nan Luo, Chunwei Tian, Zhongwei Cui and Yong Zhao and has published in prestigious journals such as IEEE Access, Sensors and Pattern Recognition Letters.

In The Last Decade

Junqian Wang

15 papers receiving 506 citations

Author Peers

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

Author						Papers	Cites
Junqian Wang	335	217	126	91	32	16	522
Shibaprasad Sen	173 0.5×	254 1.2×	62 0.5×	166 1.8×	23 0.7×	28	499
P. Sathyanarayana	177 0.5×	159 0.7×	56 0.4×	79 0.9×	34 1.1×	11	562
Shaveta Arora	288 0.9×	105 0.5×	118 0.9×	110 1.2×	19 0.6×	30	455
Iqbaldeep Kaur	234 0.7×	134 0.6×	63 0.5×	55 0.6×	28 0.9×	27	456
Karamjeet Singh	211 0.6×	140 0.6×	93 0.7×	82 0.9×	34 1.1×	28	457
Siraj M. Khan	362 1.1×	184 0.8×	55 0.4×	129 1.4×	42 1.3×	19	568
Xiaogang Du	226 0.7×	114 0.5×	92 0.7×	67 0.7×	39 1.2×	34	485
Sirshendu Hore	157 0.5×	135 0.6×	38 0.3×	55 0.6×	30 0.9×	18	517
Akshay Vashist	262 0.8×	320 1.5×	33 0.3×	35 0.4×	27 0.8×	14	544
K. Balasamy	263 0.8×	159 0.7×	35 0.3×	174 1.9×	65 2.0×	19	595

Countries citing papers authored by Junqian Wang

Since Specialization

Citations

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

Fields of papers citing papers by Junqian Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junqian Wang

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