Luning Bi

19 total papers · 417 total citations
11 papers, 312 citations indexed

About

Luning Bi is a scholar working on Industrial and Manufacturing Engineering, Plant Science and Automotive Engineering. According to data from OpenAlex, Luning Bi has authored 11 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Industrial and Manufacturing Engineering, 4 papers in Plant Science and 2 papers in Automotive Engineering. Recurrent topics in Luning Bi's work include Smart Agriculture and AI (4 papers), Manufacturing Process and Optimization (4 papers) and Digital Transformation in Industry (3 papers). Luning Bi is often cited by papers focused on Smart Agriculture and AI (4 papers), Manufacturing Process and Optimization (4 papers) and Digital Transformation in Industry (3 papers). Luning Bi collaborates with scholars based in United States, China and Singapore. Luning Bi's co-authors include Guiping Hu, Fei Tao, Ying Zuo, A.Y.C. Nee, Ping Ji, Ying Cheng, Yuba R. Kandel, Daren S. Mueller, Muhammad Mohsin Raza and L. F. S. Leandro and has published in prestigious journals such as Frontiers in Plant Science, Remote Sensing and CIRP Annals.

In The Last Decade

Luning Bi

11 papers receiving 306 citations

Author Peers

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

Author Last Decade Papers Cites
Luning Bi 144 80 32 32 30 11 312
Shengping Lv 163 1.1× 26 0.3× 48 1.5× 16 0.5× 5 0.2× 18 330
Tsega Y. Melesse 226 1.6× 24 0.3× 19 0.6× 18 0.6× 6 0.2× 9 301
Deena P. Francis 154 1.1× 18 0.2× 6 0.2× 13 0.4× 20 0.7× 10 311
Katarzyna Rudnik 44 0.3× 28 0.3× 39 1.2× 24 0.8× 4 0.1× 21 253
Minshi Chen 150 1.0× 21 0.3× 10 0.3× 6 0.2× 5 0.2× 16 356
Franco da Silveira 25 0.2× 101 1.3× 28 0.9× 8 0.3× 15 0.5× 23 280
Elena Simonova 120 0.8× 44 0.6× 13 0.4× 24 0.8× 8 0.3× 32 258
Fábio Lima 154 1.1× 77 1.0× 11 0.3× 12 0.4× 8 0.3× 38 349
Vasiliki Balaska 47 0.3× 58 0.7× 7 0.2× 5 0.2× 13 0.4× 21 247
Hamzeh Soltanali 36 0.3× 25 0.3× 27 0.8× 5 0.2× 76 2.5× 21 337

Countries citing papers authored by Luning Bi

Since Specialization
Citations

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

Fields of papers citing papers by Luning Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luning Bi

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