Yan Qiang

31 total papers · 427 total citations
19 papers, 312 citations indexed

About

Yan Qiang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yan Qiang has authored 19 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yan Qiang's work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (4 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Yan Qiang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (4 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Yan Qiang collaborates with scholars based in China and United States. Yan Qiang's co-authors include Juanjuan Zhao, Wenkai Yang, Qianqian Du, Xiaotang Yang, Yuan Lan, Xiaoyan Xiong, Jie Xiang, Xiaohong Han, Kun Wu and Juanjuan Zhao and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Energies.

In The Last Decade

Yan Qiang

19 papers receiving 305 citations

Author Peers

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

Author						Papers	Cites
Yan Qiang	144	85	63	47	46	19	312
Juan Luís Vidal Mazón	95 0.7×	61 0.7×	23 0.4×	71 1.5×	31 0.7×	20	358
Bader Fahad Alkhamees	125 0.9×	46 0.5×	32 0.5×	22 0.5×	19 0.4×	20	264
Salih Sarp	158 1.1×	42 0.5×	40 0.6×	28 0.6×	45 1.0×	23	312
Piyush Samant	89 0.6×	58 0.7×	35 0.6×	30 0.6×	24 0.5×	17	266
Nesma Settouti	177 1.2×	59 0.7×	45 0.7×	82 1.7×	9 0.2×	38	340
Alhassan Mabrouk	195 1.4×	111 1.3×	26 0.4×	53 1.1×	11 0.2×	12	365
Ahmed Abdullah Alqarni	136 0.9×	64 0.8×	33 0.5×	26 0.6×	15 0.3×	18	347
Xuanyu Wu	113 0.8×	22 0.3×	11 0.2×	40 0.9×	39 0.8×	25	360
N. M. Saravana Kumar	135 0.9×	23 0.3×	67 1.1×	21 0.4×	37 0.8×	27	302
Farzeen Ashfaq	83 0.6×	45 0.5×	18 0.3×	63 1.3×	5 0.1×	19	289

Countries citing papers authored by Yan Qiang

Since Specialization

Citations

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

Fields of papers citing papers by Yan Qiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Qiang

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