Luning Bi

427 total citations
11 papers, 322 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 322 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 Manufacturing Process and Optimization (4 papers), Smart Agriculture and AI (4 papers) and Digital Transformation in Industry (3 papers). Luning Bi is often cited by papers focused on Manufacturing Process and Optimization (4 papers), Smart Agriculture and AI (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, A.Y.C. Nee, Ying Zuo, Ying Cheng, Ping Ji, 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 315 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Luning Bi United States	10	147	83	33	32	31	11	322
Rafiq Ahmad Canada	11	85 0.6×	47 0.6×	12 0.4×	23 0.7×	5 0.2×	36	334
Shengping Lv China	10	173 1.2×	27 0.3×	15 0.5×	44 1.4×	5 0.2×	18	340
Ilkka Seilonen Finland	13	142 1.0×	100 1.2×	18 0.5×	20 0.6×	15 0.5×	40	569
Rabiya Abbasi Canada	9	49 0.3×	171 2.1×	8 0.2×	27 0.8×	29 0.9×	15	425
Tsega Y. Melesse Italy	6	233 1.6×	25 0.3×	18 0.5×	21 0.7×	6 0.2×	10	310
Giacomo Barbieri Colombia	12	251 1.7×	46 0.6×	28 0.8×	7 0.2×	6 0.2×	51	449
Deena P. Francis Denmark	6	159 1.1×	18 0.2×	13 0.4×	6 0.2×	20 0.6×	10	320
Stefano Saetta Italy	13	120 0.8×	16 0.2×	30 0.9×	100 3.1×	4 0.1×	30	439
Elena Simonova Russia	9	121 0.8×	46 0.6×	24 0.7×	13 0.4×	8 0.3×	32	264
Katarzyna Rudnik Poland	9	44 0.3×	28 0.3×	24 0.7×	40 1.3×	4 0.1×	21	254

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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11 of 11 papers shown

Bi, Luning, Owen Wally, Guiping Hu, et al.. (2023). A transformer-based approach for early prediction of soybean yield using time-series images. Frontiers in Plant Science. 14. 1173036–1173036. 16 indexed citations

Bi, Luning, et al.. (2022). COVID-19 forecasting and intervention planning using gated recurrent unit and evolutionary algorithm. Neural Computing and Applications. 34(20). 17561–17579. 11 indexed citations

Bi, Luning & Guiping Hu. (2021). A genetic algorithm-assisted deep learning approach for crop yield prediction. Soft Computing. 25(16). 10617–10628. 20 indexed citations

Bi, Luning, Fei Tao, Pengyuan Zhang, & A.Y.C. Nee. (2020). Opportunistic maintenance for multi-unit series systems based on gated recurrent units prediction model. CIRP Annals. 69(1). 25–28. 6 indexed citations

Bi, Luning, Guiping Hu, Muhammad Mohsin Raza, et al.. (2020). A Gated Recurrent Units (GRU)-Based Model for Early Detection of Soybean Sudden Death Syndrome through Time-Series Satellite Imagery. Remote Sensing. 12(21). 3621–3621. 28 indexed citations

Bi, Luning & Guiping Hu. (2020). Improving Image-Based Plant Disease Classification With Generative Adversarial Network Under Limited Training Set. Frontiers in Plant Science. 11. 583438–583438. 56 indexed citations

Cheng, Ying, Luning Bi, Fei Tao, & Ping Ji. (2018). Hypernetwork-based manufacturing service scheduling for distributed and collaborative manufacturing operations towards smart manufacturing. Journal of Intelligent Manufacturing. 31(7). 1707–1720. 42 indexed citations

Bi, Luning, Ying Zuo, Fei Tao, T. Warren Liao, & Zhuqing Liu. (2017). Energy-Aware Material Selection for Product With Multicomponent Under Cloud Environment. Journal of Computing and Information Science in Engineering. 17(3). 11 indexed citations

Tao, Fei, Luning Bi, Ying Zuo, & A.Y.C. Nee. (2017). Partial/Parallel Disassembly Sequence Planning for Complex Products. Journal of Manufacturing Science and Engineering. 140(1). 52 indexed citations

10.

Tao, Fei, Luning Bi, Ying Zuo, & A.Y.C. Nee. (2017). A Cooperative Co-Evolutionary Algorithm for Large-Scale Process Planning With Energy Consideration. Journal of Manufacturing Science and Engineering. 139(6). 28 indexed citations

11.

Tao, Fei, Luning Bi, Ying Zuo, & A.Y.C. Nee. (2016). A hybrid group leader algorithm for green material selection with energy consideration in product design. CIRP Annals. 65(1). 9–12. 52 indexed citations

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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