Jin Qian

175 total papers · 1.5k total citations
82 papers, 1.1k citations indexed

About

Jin Qian is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Jin Qian has authored 82 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 35 papers in Computational Theory and Mathematics and 28 papers in Information Systems. Recurrent topics in Jin Qian's work include Rough Sets and Fuzzy Logic (33 papers), Data Mining Algorithms and Applications (20 papers) and Text and Document Classification Technologies (10 papers). Jin Qian is often cited by papers focused on Rough Sets and Fuzzy Logic (33 papers), Data Mining Algorithms and Applications (20 papers) and Text and Document Classification Technologies (10 papers). Jin Qian collaborates with scholars based in China, Canada and United States. Jin Qian's co-authors include Duoqian Miao, Xiaodong Yue, Caihui Liu, Ying Yu, Ping Lv, Wenbin Qian, Chuangyin Dang, Yafei Deng, Rotimi E. Aluko and Yong Deng and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.

In The Last Decade

Jin Qian

66 papers receiving 1.0k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Jin Qian 605 448 354 212 138 82 1.1k
B. K. Tripathy 371 0.6× 514 1.1× 281 0.8× 157 0.7× 145 1.1× 146 1.1k
Wenhao Shu 513 0.8× 575 1.3× 427 1.2× 177 0.8× 268 1.9× 55 1.0k
Xianyong Zhang 959 1.6× 654 1.5× 413 1.2× 328 1.5× 154 1.1× 85 1.2k
Pingxin Wang 546 0.9× 533 1.2× 256 0.7× 96 0.5× 188 1.4× 83 998
Keyu Liu 805 1.3× 701 1.6× 450 1.3× 120 0.6× 305 2.2× 52 1.1k
Neil Mac Parthaláin 428 0.7× 401 0.9× 284 0.8× 119 0.6× 175 1.3× 39 940
K. Thangavel 302 0.5× 527 1.2× 246 0.7× 100 0.5× 265 1.9× 101 1.1k
Tsau Young Lin 821 1.4× 569 1.3× 427 1.2× 475 2.2× 103 0.7× 73 1.4k
Georg Peters 400 0.7× 517 1.2× 247 0.7× 311 1.5× 101 0.7× 34 987
Churn‐Jung Liau 381 0.6× 681 1.5× 275 0.8× 242 1.1× 73 0.5× 91 1.2k

Countries citing papers authored by Jin Qian

Since Specialization
Citations

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

Fields of papers citing papers by Jin Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Qian. A scholar is included among the top collaborators of Jin 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 Jin Qian. Jin Qian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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