Quanjun Yin

116 total papers · 744 total citations
63 papers, 450 citations indexed

About

Quanjun Yin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Quanjun Yin has authored 63 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 14 papers in Computer Networks and Communications. Recurrent topics in Quanjun Yin's work include Robotic Path Planning Algorithms (16 papers), Reinforcement Learning in Robotics (14 papers) and Anomaly Detection Techniques and Applications (7 papers). Quanjun Yin is often cited by papers focused on Robotic Path Planning Algorithms (16 papers), Reinforcement Learning in Robotics (14 papers) and Anomaly Detection Techniques and Applications (7 papers). Quanjun Yin collaborates with scholars based in China, Singapore and Australia. Quanjun Yin's co-authors include Yabing Zha, Yue Hu, Mei Yang, Yong Peng, Miao Zhang, Yong Peng, Cong Hu, Xiaocheng Liu, Yu Liu and Shengming Jiang and has published in prestigious journals such as Expert Systems with Applications, IEEE Journal on Selected Areas in Communications and IEEE Access.

In The Last Decade

Quanjun Yin

53 papers receiving 425 citations

Author Peers

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

Author						Papers	Cites
Quanjun Yin	183	178	104	85	48	63	450
Chengming Zou	141 0.8×	158 0.9×	85 0.8×	107 1.3×	40 0.8×	39	450
Baohua Qiang	146 0.8×	84 0.5×	174 1.7×	92 1.1×	53 1.1×	77	547
Olivier Buffet	323 1.8×	152 0.9×	78 0.8×	48 0.6×	35 0.7×	54	533
Shuxin Yang	182 1.0×	133 0.7×	92 0.9×	96 1.1×	20 0.4×	63	464
Junaid Akram	163 0.9×	171 1.0×	59 0.6×	90 1.1×	73 1.5×	35	420
Arijit Mukherjee	108 0.6×	229 1.3×	103 1.0×	77 0.9×	27 0.6×	51	468
Vali Derhami	236 1.3×	115 0.6×	115 1.1×	88 1.0×	25 0.5×	60	505
John J. Prevost	104 0.6×	196 1.1×	99 1.0×	175 2.1×	52 1.1×	34	472
Sadok Bouamama	117 0.6×	210 1.2×	82 0.8×	126 1.5×	25 0.5×	55	413
Saraswathy Shamini Gunasekaran	128 0.7×	212 1.2×	105 1.0×	102 1.2×	33 0.7×	52	535

Countries citing papers authored by Quanjun Yin

Since Specialization

Citations

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

Fields of papers citing papers by Quanjun Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quanjun Yin

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