Shan Jin

468 total citations
12 papers, 350 citations indexed

About

Shan Jin is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Civil and Structural Engineering. According to data from OpenAlex, Shan Jin has authored 12 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 2 papers in Aerospace Engineering and 1 paper in Civil and Structural Engineering. Recurrent topics in Shan Jin's work include Electric Power System Optimization (8 papers), Smart Grid Energy Management (4 papers) and Energy Load and Power Forecasting (4 papers). Shan Jin is often cited by papers focused on Electric Power System Optimization (8 papers), Smart Grid Energy Management (4 papers) and Energy Load and Power Forecasting (4 papers). Shan Jin collaborates with scholars based in United States, China and South Korea. Shan Jin's co-authors include Sarah M. Ryan, Audun Botterud, Jean‐Paul Watson, David L. Woodruff, Xin Wang and Ping Lü and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid and Journal of obstetrics and gynaecology research.

In The Last Decade

Shan Jin

10 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Jin United States 6 321 48 48 37 30 12 350
Jonathan Ho United States 7 330 1.0× 41 0.9× 51 1.1× 21 0.6× 20 0.7× 11 384
Adelino J. C. Pereira Portugal 8 256 0.8× 37 0.8× 33 0.7× 22 0.6× 32 1.1× 28 299
Ignacio Aravena United States 11 281 0.9× 58 1.2× 50 1.0× 20 0.5× 8 0.3× 24 322
Petter L. Skantze United States 9 331 1.0× 35 0.7× 39 0.8× 44 1.2× 102 3.4× 11 372
H.‐J. Haubrich Germany 8 323 1.0× 83 1.7× 37 0.8× 14 0.4× 44 1.5× 35 369
Lina P. Garcés Brazil 6 297 0.9× 47 1.0× 82 1.7× 20 0.5× 12 0.4× 12 324
A.S. Chuang United States 9 365 1.1× 116 2.4× 57 1.2× 17 0.5× 36 1.2× 12 396
Jong-Ryul Won South Korea 8 409 1.3× 67 1.4× 67 1.4× 20 0.5× 18 0.6× 19 440
M. Innorta Italy 11 393 1.2× 143 3.0× 58 1.2× 44 1.2× 19 0.6× 35 459
Ernan Ni United States 7 361 1.1× 35 0.7× 30 0.6× 41 1.1× 19 0.6× 10 384

Countries citing papers authored by Shan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Shan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Jin

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

All Works

12 of 12 papers shown
1.
Jin, Shan, et al.. (2024). Effect of rooming‐in kangaroo mother care on breastfeeding and behavioral status of full‐term newborns. Journal of obstetrics and gynaecology research. 50(12). 2263–2270.
3.
Jin, Shan, Audun Botterud, & Sarah M. Ryan. (2015). Temporal versus stochastic granularity in thermal generation capacity planning with wind power. 1–1. 1 indexed citations
4.
Jin, Shan, Audun Botterud, & Sarah M. Ryan. (2014). Impact of demand response on thermal generation investment with high wind penetration. 1–1. 5 indexed citations
5.
Jin, Shan, Audun Botterud, & Sarah M. Ryan. (2014). Temporal Versus Stochastic Granularity in Thermal Generation Capacity Planning With Wind Power. IEEE Transactions on Power Systems. 29(5). 2033–2041. 57 indexed citations
6.
Jin, Shan & Sarah M. Ryan. (2013). A Tri-Level Model of Centralized Transmission and Decentralized Generation Expansion Planning for an Electricity Market—Part II. IEEE Transactions on Power Systems. 29(1). 142–148. 36 indexed citations
7.
Jin, Shan & Sarah M. Ryan. (2013). A Tri-Level Model of Centralized Transmission and Decentralized Generation Expansion Planning for an Electricity Market—Part I. IEEE Transactions on Power Systems. 29(1). 132–141. 91 indexed citations
8.
Wang, Xin, et al.. (2013). A Study on the Performance of Natural Wind in Hybrid System in an Atrium Building. Applied Mechanics and Materials. 448-453. 1248–1255. 2 indexed citations
9.
Jin, Shan, Audun Botterud, & Sarah M. Ryan. (2013). Impact of Demand Response on Thermal Generation Investment With High Wind Penetration. IEEE Transactions on Smart Grid. 4(4). 2374–2383. 39 indexed citations
10.
Jin, Shan & Sarah M. Ryan. (2011). Capacity Expansion in the Integrated Supply Network for an Electricity Market. IEEE Transactions on Power Systems. 26(4). 2275–2284. 31 indexed citations
11.
Jin, Shan, Sarah M. Ryan, Jean‐Paul Watson, & David L. Woodruff. (2011). Modeling and solving a large-scale generation expansion planning problem under uncertainty. Energy Systems. 2(3-4). 209–242. 87 indexed citations
12.
Jin, Shan & Sarah M. Ryan. (2009). Power Generation Expansion Planning under Uncertainties. Iowa State University Digital Repository (Iowa State University). 1838–1843. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026