Hui Qian

41 total papers · 550 total citations
26 papers, 373 citations indexed

About

Hui Qian is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Hui Qian has authored 26 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Mechanics. Recurrent topics in Hui Qian's work include Stochastic Gradient Optimization Techniques (7 papers), Sparse and Compressive Sensing Techniques (4 papers) and Face and Expression Recognition (3 papers). Hui Qian is often cited by papers focused on Stochastic Gradient Optimization Techniques (7 papers), Sparse and Compressive Sensing Techniques (4 papers) and Face and Expression Recognition (3 papers). Hui Qian collaborates with scholars based in China, United States and Switzerland. Hui Qian's co-authors include Mo Chen, Bocheng Bao, Quan Xu, Jiang Wang, Huagan Wu, Yajuan Yu, Guang Dai, Zhihua Zhang, Paul Loubere and Hong Zhu and has published in prestigious journals such as Analytica Chimica Acta, Biosensors and Bioelectronics and Pattern Recognition.

In The Last Decade

Hui Qian

24 papers receiving 355 citations

Author Peers

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

Author						Papers	Cites
Hui Qian	120	111	103	71	55	26	373
Wenbin Zheng	121 1.0×	72 0.6×	45 0.4×	21 0.3×	73 1.3×	50	414
Yaqian Li	69 0.6×	31 0.3×	71 0.7×	59 0.8×	33 0.6×	48	396
Christian Merkwirth	108 0.9×	41 0.4×	19 0.2×	36 0.5×	12 0.2×	24	409
Linzi Yin	54 0.5×	160 1.4×	72 0.7×	42 0.6×	50 0.9×	23	354
Shuang Wang	92 0.8×	30 0.3×	96 0.9×	15 0.2×	35 0.6×	33	391
Carlo Lucibello	169 1.4×	76 0.7×	41 0.4×	22 0.3×	28 0.5×	29	345
Shaoxiong Li	131 1.1×	53 0.5×	23 0.2×	24 0.3×	34 0.6×	68	403
Albrecht Rau	361 3.0×	127 1.1×	43 0.4×	20 0.3×	32 0.6×	14	413
D.P. Playne	39 0.3×	69 0.6×	110 1.1×	125 1.8×	19 0.3×	37	369
Ziyue Huang	203 1.7×	29 0.3×	120 1.2×	40 0.6×	48 0.9×	14	366

Countries citing papers authored by Hui Qian

Since Specialization

Citations

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

Fields of papers citing papers by Hui Qian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Qian

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