Kun Bian

32 total papers · 418 total citations
13 papers, 317 citations indexed

About

Kun Bian is a scholar working on Plant Science, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Kun Bian has authored 13 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Plant Science, 2 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in Kun Bian's work include Metaheuristic Optimization Algorithms Research (2 papers), Postharvest Quality and Shelf Life Management (2 papers) and Evolutionary Algorithms and Applications (2 papers). Kun Bian is often cited by papers focused on Metaheuristic Optimization Algorithms Research (2 papers), Postharvest Quality and Shelf Life Management (2 papers) and Evolutionary Algorithms and Applications (2 papers). Kun Bian collaborates with scholars based in China, Singapore and Taiwan. Kun Bian's co-authors include Zhenfeng Yang, Shifeng Cao, Wei Chen, Jiarong Shao, Chunbo Song, Liyu Shi, Hsiao‐Hang Chung, Wei Chen, Minhua Liang and Yifei Sun and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Journal of Applied Polymer Science.

In The Last Decade

Kun Bian

11 papers receiving 315 citations

Author Peers

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

Author Last Decade Papers Cites
Kun Bian 227 78 75 30 19 13 317
Morteza Sheikh-Assadi 299 1.3× 39 0.5× 98 1.3× 34 1.1× 11 342
Shuju Bai 63 0.3× 9 0.1× 59 0.8× 8 0.3× 3 0.2× 23 230
Feng Wang 298 1.3× 70 0.9× 60 0.8× 19 0.6× 10 365
I. Therios 296 1.3× 39 0.5× 72 1.0× 83 2.8× 22 345
Guangqing Xiang 299 1.3× 36 0.5× 123 1.6× 45 1.5× 10 327
Sumit Kumar Aggarwal 151 0.7× 25 0.3× 36 0.5× 6 0.3× 25 237
Carmen M. Pérez-Delgado 273 1.2× 15 0.2× 164 2.2× 7 0.2× 3 0.2× 13 318
Shufen Luo 245 1.1× 86 1.1× 97 1.3× 16 0.5× 17 351
Mingliang Yu 182 0.8× 60 0.8× 153 2.0× 28 1.5× 24 340
Ahmed Ezzat 174 0.8× 33 0.4× 57 0.8× 56 2.9× 15 327

Countries citing papers authored by Kun Bian

Since Specialization
Citations

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

Fields of papers citing papers by Kun Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Bian. A scholar is included among the top collaborators of Kun Bian 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 Kun Bian. Kun Bian 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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2026