Sun Ling Wang

982 total citations
30 papers, 574 citations indexed

About

Sun Ling Wang is a scholar working on Economics and Econometrics, General Agricultural and Biological Sciences and Management Science and Operations Research. According to data from OpenAlex, Sun Ling Wang has authored 30 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 12 papers in General Agricultural and Biological Sciences and 5 papers in Management Science and Operations Research. Recurrent topics in Sun Ling Wang's work include Agricultural Economics and Policy (11 papers), Economic Growth and Productivity (10 papers) and Efficiency Analysis Using DEA (5 papers). Sun Ling Wang is often cited by papers focused on Agricultural Economics and Policy (11 papers), Economic Growth and Productivity (10 papers) and Efficiency Analysis Using DEA (5 papers). Sun Ling Wang collaborates with scholars based in United States, China and Japan. Sun Ling Wang's co-authors include Keith O. Fuglie, David Schimmelpfennig, Paul W. Heisey, Lihong Lu McPhail, Francis C. Tuan, James M. MacDonald, Kelly A. Day-Rubenstein, John L. King, Carl E. Pray and Jikun Huang and has published in prestigious journals such as Energy Economics, Journal of the Operational Research Society and Sustainability.

In The Last Decade

Sun Ling Wang

28 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun Ling Wang United States 12 277 210 96 79 55 30 574
Belén Iráizoz Apezteguía Spain 13 216 0.8× 186 0.9× 189 2.0× 71 0.9× 35 0.6× 41 562
Alain Carpentier France 12 319 1.2× 314 1.5× 119 1.2× 90 1.1× 101 1.8× 18 647
John D. Mullen Australia 15 355 1.3× 307 1.5× 59 0.6× 89 1.1× 64 1.2× 53 698
Lukáš Čechura Czechia 13 201 0.7× 201 1.0× 173 1.8× 57 0.7× 36 0.7× 61 514
Francis C. Tuan United States 12 191 0.7× 106 0.5× 43 0.4× 59 0.7× 72 1.3× 46 409
Eric A. DeVuyst United States 13 255 0.9× 137 0.7× 29 0.3× 65 0.8× 66 1.2× 59 557
Matthew A. Andersen United States 9 303 1.1× 151 0.7× 70 0.7× 68 0.9× 38 0.7× 14 482
Grigorios Emvalomatis Netherlands 16 258 0.9× 209 1.0× 243 2.5× 36 0.5× 32 0.6× 36 538
Sebastian Stępień Poland 11 166 0.6× 215 1.0× 46 0.5× 63 0.8× 53 1.0× 77 525
Katarzyna Smędzik-Ambroży Poland 10 134 0.5× 205 1.0× 53 0.6× 41 0.5× 33 0.6× 49 433

Countries citing papers authored by Sun Ling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sun Ling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Ling Wang. 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 Sun Ling Wang. The network helps show where Sun Ling Wang may publish in the future.

Co-authorship network of co-authors of Sun Ling Wang

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

All Works

20 of 20 papers shown
1.
Wang, Sun Ling, et al.. (2025). Sustainable Crop Farm Productivity: Weather Effects, Technology Adoption, and Farm Management. Sustainability. 17(15). 6778–6778.
2.
3.
Wang, Sun Ling & John Walden. (2021). Measuring fishery productivity growth in the Northeastern United States 2007–2018. Marine Policy. 128. 104467–104467. 7 indexed citations
4.
Wang, Sun Ling, Jikun Huang, Xiaobing Wang, & Francis C. Tuan. (2019). Are China’s regional agricultural productivities converging: How and why?. Food Policy. 86. 101727–101727. 45 indexed citations
5.
Wang, Sun Ling, et al.. (2017). Impacts of Climate Change and Extreme Weather on U.S. Agricultural Productivity: Evidence and Projection. SSRN Electronic Journal. 41–75. 4 indexed citations
6.
Tuan, Francis C., Agapi Somwaru, Sun Ling Wang, & Efthimia Tsakiridou. (2016). The dynamics of China's export growth: an intertemporal analysis. RePEc: Research Papers in Economics. 14(1). 37–57. 1 indexed citations
7.
Wang, Sun Ling, et al.. (2015). Agricultural Productivity Growth in the United States: Measurement, Trends, and Drivers. RePEc: Research Papers in Economics. 1 indexed citations
8.
Wang, Sun Ling, et al.. (2015). U.S. Agricultural Productivity Growth: The Past, Challenges, and the Future. AgEcon Search (University of Minnesota, USA). 1–1. 8 indexed citations
9.
Wang, Sun Ling, et al.. (2015). Agricultural Productivity Growth in the United States: Measurement, Trends, and Drivers. AgEcon Search (University of Minnesota, USA). 33 indexed citations
10.
Wang, Sun Ling, et al.. (2014). Agricultural Productivity Growth in the United States: 1948-2011. AgEcon Search (University of Minnesota, USA). 1–1. 3 indexed citations
11.
Wang, Sun Ling, et al.. (2014). Cooperative Extension System: Trends and Economic Impacts on U.S. Agriculture. AgEcon Search (University of Minnesota, USA). 29(1). 1–8. 52 indexed citations
12.
Wang, Sun Ling, et al.. (2013). China’s Agricultural Productivity Growth: Strong But Uneven. Amber waves. 1–1. 1 indexed citations
13.
Wang, Sun Ling, Paul W. Heisey, Wallace E. Huffman, & Keith O. Fuglie. (2013). Public R&D, Private R&D, and U.S. Agricultural Productivity Growth: Dynamic and Long‐Run Relationships. American Journal of Agricultural Economics. 95(5). 1287–1293. 37 indexed citations
14.
Wang, Sun Ling, et al.. (2012). Accounting for the Impact of Public Research, R&D Spill-ins, Extension and Roads in U.S. Regional Agricultural Productivity Growth, 1980–2004. Staff General Research Papers Archive. 2 indexed citations
15.
Wang, Sun Ling, et al.. (2012). New Evidence Points to Robust But Uneven Productivity Growth in Global Agriculture. AgEcon Search (University of Minnesota, USA). 1–10. 10 indexed citations
16.
Heisey, Paul W., Sun Ling Wang, & Keith O. Fuglie. (2011). Public Agricultural Research Spending and Future U.S. Agricultural Productivity Growth: Scenarios for 2010-2050. RePEc: Research Papers in Economics. 8 indexed citations
17.
Fuglie, Keith O., Paul W. Heisey, John L. King, et al.. (2011). Research Investments and Market Structure in the Food Processing, Agricultural Input, and Biofuel Industries Worldwide. SSRN Electronic Journal. 93 indexed citations
18.
MacDonald, James M. & Sun Ling Wang. (2011). Foregoing Sub‐therapeutic Antibiotics: the Impact on Broiler Grow‐out Operations. Applied Economic Perspectives and Policy. 33(1). 79–98. 36 indexed citations
19.
Wang, Sun Ling, et al.. (2010). Is U.S. Agricultural Productivity Growth Slowing?. AgEcon Search (University of Minnesota, USA). 6–6. 4 indexed citations
20.
Wang, Sun Ling & Bhaba R. Sarker. (2004). A single-stage supply chain system controlled by kanban under just-in-time philosophy. Journal of the Operational Research Society. 55(5). 485–494. 5 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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