Liang Lu

754 total citations
23 papers, 537 citations indexed

About

Liang Lu is a scholar working on Economics and Econometrics, General Agricultural and Biological Sciences and Business and International Management. According to data from OpenAlex, Liang Lu has authored 23 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Economics and Econometrics, 9 papers in General Agricultural and Biological Sciences and 5 papers in Business and International Management. Recurrent topics in Liang Lu's work include Agricultural Innovations and Practices (8 papers), Economics of Agriculture and Food Markets (5 papers) and Innovation and Socioeconomic Development (5 papers). Liang Lu is often cited by papers focused on Agricultural Innovations and Practices (8 papers), Economics of Agriculture and Food Markets (5 papers) and Innovation and Socioeconomic Development (5 papers). Liang Lu collaborates with scholars based in United States, India and Israel. Liang Lu's co-authors include Thomas Reardon, David Zilberman, Amir Heiman, Rob Vos, Ruby T. Nguyen, Jennifer Ifft, Lenis Saweda O. Liverpool‐Tasie, Ben Belton, Levan Elbakidze and Alex Maas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Sustainability.

In The Last Decade

Liang Lu

21 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liang Lu United States	13	141	111	105	105	88	23	537
Amin Mahir Abdullah Malaysia	16	142 1.0×	179 1.6×	73 0.7×	248 2.4×	114 1.3×	65	809
Shi Zheng China	11	107 0.8×	121 1.1×	105 1.0×	61 0.6×	43 0.5×	32	431
Anastasios Michailidis Greece	19	144 1.0×	261 2.4×	128 1.2×	129 1.2×	124 1.4×	91	928
Mangirdas Morkūnas Lithuania	17	292 2.1×	178 1.6×	124 1.2×	78 0.7×	80 0.9×	72	823
Rajendra Adhikari Australia	12	95 0.7×	114 1.0×	139 1.3×	38 0.4×	31 0.4×	29	452
Mohd Mansor Ismail Malaysia	14	137 1.0×	194 1.7×	104 1.0×	152 1.4×	85 1.0×	74	771
Yiwu Zeng China	9	167 1.2×	85 0.8×	94 0.9×	138 1.3×	27 0.3×	15	501
Laxmi Prasad Pant Canada	15	95 0.7×	307 2.8×	91 0.9×	99 0.9×	56 0.6×	40	903
Richard Kwasi Bannor Ghana	14	160 1.1×	193 1.7×	73 0.7×	38 0.4×	61 0.7×	83	642
Maria Sylvia Macchione Saes Brazil	12	77 0.5×	80 0.7×	190 1.8×	45 0.4×	39 0.4×	95	534

Countries citing papers authored by Liang Lu

Since Specialization

Citations

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

Fields of papers citing papers by Liang Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Lu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Xinbing, Zhigang Wang, Zaisong Ding, et al.. (2025). Variation in the response of maize (Zea mays L.) root-shoot growth and grain yield to tillage practices under various soil compactions. Field Crops Research. 333. 110082–110082.

Lu, Liang, et al.. (2022). A General-Equilibrium Model of Labor-Saving Technology Adoption: Theory and Evidences from Robotic Milking Systems in Idaho. Sustainability. 14(13). 7683–7683. 3 indexed citations

Nguyen, Ruby T., et al.. (2022). Multi-level impacts of climate change and supply disruption events on a potato supply chain: An agent-based modeling approach. Agricultural Systems. 201. 103469–103469. 31 indexed citations

Zilberman, David, et al.. (2022). From the laboratory to the consumer: Innovation, supply chain, and adoption with applications to natural resources. Proceedings of the National Academy of Sciences. 119(23). e2115880119–e2115880119. 22 indexed citations

Elbakidze, Levan, et al.. (2022). Climate Smart Pest Management. Sustainability. 14(16). 9832–9832. 4 indexed citations

Lu, Liang, et al.. (2022). Price and Volatility Transmissions among Natural Gas, Fertilizer, and Corn Markets: A Revisit. Journal of risk and financial management. 15(2). 91–91. 13 indexed citations

Reardon, Thomas, et al.. (2021). E‐commerce's fast‐tracking diffusion and adaptation in developing countries. Applied Economic Perspectives and Policy. 43(4). 1243–1259. 30 indexed citations

Reardon, Thomas, et al.. (2021). “Pivoting” by food industry firms to cope with COVID‐19 in developing regions: E‐commerce and “copivoting” delivery intermediaries. Agricultural Economics. 52(3). 459–475. 78 indexed citations

Maas, Alex, et al.. (2020). “Elections have Consequences”: Partisan Politics are Literally Killing Us. RePEc: Research Papers in Economics. 1 indexed citations

10.

Maas, Alex & Liang Lu. (2020). Elections have Consequences: Partisan Politics may be Literally Killing Us. Applied Health Economics and Health Policy. 19(1). 45–56. 4 indexed citations

11.

Lu, Liang, et al.. (2020). What factors affect consumers’ dining sentiments and their ratings: Evidence from restaurant online review data. Food Quality and Preference. 88. 104060–104060. 70 indexed citations

12.

Lu, Liang, et al.. (2020). Investigating Factors Affecting Adoption of Automated Milking Systems (AMS) in Idaho. AgEcon Search (University of Minnesota, USA). 18(2). 4 indexed citations

13.

Lu, Liang, et al.. (2019). Adoption of Mechanization Solutions for Harvesting Fresh Market Blueberries. AgEcon Search (University of Minnesota, USA). 4 indexed citations

14.

Reardon, Thomas, Liang Lu, & David Zilberman. (2017). Links among innovation, food system transformation, and technology adoption, with implications for food policy: Overview of a special issue. Food Policy. 83. 285–288. 30 indexed citations

15.

Zilberman, David, Liang Lu, & Thomas Reardon. (2017). Innovation-induced food supply chain design. Food Policy. 83. 289–297. 80 indexed citations

16.

Lu, Liang, Thomas Reardon, & David Zilberman. (2016). Supply Chain Design and Adoption of Indivisible Technology. American Journal of Agricultural Economics. 98(5). 1419–1431. 21 indexed citations

17.

Lu, Liang, et al.. (2016). Economics of Agricultural Supply Chain Design: A Portfolio Selection Approach. American Journal of Agricultural Economics. 98(5). 1377–1388. 31 indexed citations

18.

Ifft, Jennifer, et al.. (2015). Marketing Contracts and Crop Insurance. American Journal of Agricultural Economics. 97(5). 1360–1370. 28 indexed citations

19.

Lu, Liang, et al.. (2014). Federal Crop Insurance and Credit Constraints: Theory and Evidence. AgEcon Search (University of Minnesota, USA). 2 indexed citations

20.

Elbakidze, Levan, et al.. (2011). Evaluating Vector-Virus-Yield Interactions for Peas and Lentils under Climatic Variability: A Limited Dependent Variable Analysis. SHILAP Revista de lepidopterología. 14 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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