C. Suo

769 total citations
25 papers, 616 citations indexed

About

C. Suo is a scholar working on Ocean Engineering, Water Science and Technology and Electrical and Electronic Engineering. According to data from OpenAlex, C. Suo has authored 25 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ocean Engineering, 15 papers in Water Science and Technology and 10 papers in Electrical and Electronic Engineering. Recurrent topics in C. Suo's work include Water resources management and optimization (15 papers), Water-Energy-Food Nexus Studies (15 papers) and Integrated Energy Systems Optimization (5 papers). C. Suo is often cited by papers focused on Water resources management and optimization (15 papers), Water-Energy-Food Nexus Studies (15 papers) and Integrated Energy Systems Optimization (5 papers). C. Suo collaborates with scholars based in China, Canada and Germany. C. Suo's co-authors include Yongping Li, J. Lv, Yuan Ma, Jianlin Sun, S.W. Jin, Guohe Huang, Y.R. Liu, S. Nie, Jun Gong and Baoguo Shan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

C. Suo

25 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Suo China 16 261 166 157 151 148 25 616
J. Lv China 13 199 0.8× 99 0.6× 124 0.8× 110 0.7× 154 1.0× 19 463
Cong Dong Canada 16 340 1.3× 147 0.9× 235 1.5× 79 0.5× 150 1.0× 47 801
Adriano Vinca Austria 12 194 0.7× 115 0.7× 79 0.5× 110 0.7× 142 1.0× 19 561
Stuart Cohen United States 18 178 0.7× 177 1.1× 92 0.6× 261 1.7× 253 1.7× 47 1.0k
Larissa P. Nogueira Netherlands 9 148 0.6× 206 1.2× 78 0.5× 156 1.0× 236 1.6× 13 798
Y.L. Xie China 12 197 0.8× 92 0.6× 230 1.5× 96 0.6× 112 0.8× 19 471
Luc Gagnon Canada 11 180 0.7× 311 1.9× 98 0.6× 78 0.5× 219 1.5× 12 901
Ryan Hanna United States 13 142 0.5× 119 0.7× 73 0.5× 107 0.7× 294 2.0× 28 812
Zarrar Khan United States 15 388 1.5× 136 0.8× 160 1.0× 87 0.6× 170 1.1× 36 633
Peter Holmes Kobos United States 11 106 0.4× 359 2.2× 186 1.2× 138 0.9× 155 1.0× 41 894

Countries citing papers authored by C. Suo

Since Specialization
Citations

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

Fields of papers citing papers by C. Suo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Suo

This figure shows the co-authorship network connecting the top 25 collaborators of C. Suo. A scholar is included among the top collaborators of C. Suo 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 C. Suo. C. Suo 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.
Ma, Yuan, Yongping Li, S. Nie, et al.. (2024). Potential way to plan China's power system (2021–2050) for climate change mitigation. Renewable Energy. 225. 120257–120257. 4 indexed citations
3.
Huang, Shanshan, C. Suo, Junhong Guo, et al.. (2023). Balancing the water-energy dilemma in nexus system planning with bi-level and multi-uncertainty. Energy. 278. 127720–127720. 9 indexed citations
4.
Jiang, Meihui, et al.. (2022). Consumption structure optimization for reducing energy footprint. Economic Systems Research. 35(3). 458–477. 3 indexed citations
5.
Li, Yongping, et al.. (2022). Development of an ensemble Bayesian inference‐based copula approach for bivariate risk evaluation of extreme precipitation under climate change. International Journal of Climatology. 42(16). 8755–8776. 5 indexed citations
6.
Gong, Jun, et al.. (2021). Development of an integrated bi-level model for China’s multi-regional energy system planning under uncertainty. Applied Energy. 308. 118299–118299. 18 indexed citations
7.
Lv, J., et al.. (2020). Quantifying the impact of water availability on China's energy system under uncertainties: A perceptive of energy-water nexus. Renewable and Sustainable Energy Reviews. 134. 110321–110321. 23 indexed citations
8.
Li, Yongping, et al.. (2020). Analyzing the impact of climate change on energy-economy-carbon nexus system in China. Applied Energy. 262. 114568–114568. 88 indexed citations
9.
Jin, S.W., et al.. (2020). Multidivisional planning model for energy, water and environment considering synergies, trade-offs and uncertainty. Journal of Cleaner Production. 259. 121070–121070. 16 indexed citations
10.
Li, Yongping, et al.. (2020). Development of an uncertain water-food-energy nexus model for pursuing sustainable agricultural and electric productions. Agricultural Water Management. 241. 106384–106384. 34 indexed citations
11.
Jiang, Siyu, Yongping Li, & C. Suo. (2019). IFQP-EPS: Analyzing effects of queuing and storage issues on electric power systems under dual uncertainties. Resources Conservation and Recycling. 145. 241–260. 2 indexed citations
12.
Sun, Jianlin, Yongping Li, C. Suo, & Y.R. Liu. (2019). Impacts of irrigation efficiency on agricultural water-land nexus system management under multiple uncertainties—A case study in Amu Darya River basin, Central Asia. Agricultural Water Management. 216. 76–88. 61 indexed citations
13.
Sun, Jianlin, Yongping Li, C. Suo, & Guohe Huang. (2019). Identifying changes and critical drivers of future temperature and precipitation with a hybrid stepwise-cluster variance analysis method. Theoretical and Applied Climatology. 137(3-4). 2437–2450. 8 indexed citations
14.
Gong, Jun, Yongping Li, C. Suo, & J. Lv. (2019). Planning regional energy system with consideration of energy transition and cleaner production under multiple uncertainties: A case study of Hebei province, China. Journal of Cleaner Production. 250. 119463–119463. 16 indexed citations
15.
Suo, C., Yongping Li, Jianlin Sun, & Shuo Yin. (2018). An air quality index-based multistage type-2-fuzzy interval-stochastic programming model for energy and environmental systems management under multiple uncertainties. Environmental Research. 167. 98–114. 18 indexed citations
16.
Sun, Jie, Yongping Li, Pan Gao, C. Suo, & Beicheng Xia. (2018). Analyzing urban ecosystem variation in the City of Dongguan: A stepwise cluster modeling approach. Environmental Research. 166. 276–289. 36 indexed citations
18.
Liu, Jing, Yongping Li, Guohe Huang, C. Suo, & Shuo Yin. (2017). An Interval Fuzzy-Stochastic Chance-Constrained Programming Based Energy-Water Nexus Model for Planning Electric Power Systems. Energies. 10(11). 1914–1914. 10 indexed citations
19.
Suo, C., et al.. (2017). A type-2 fuzzy chance-constrained programming method for planning Shanghai’s energy system. International Journal of Electrical Power & Energy Systems. 90. 37–53. 33 indexed citations
20.
Xiao, Bing, et al.. (2016). Models for Operation Management under Carbon Policies – A Review. SHILAP Revista de lepidopterología. 2 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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