Sheng Su

1.8k total citations
39 papers, 1.4k citations indexed

About

Sheng Su is a scholar working on Biomedical Engineering, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Sheng Su has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 13 papers in Materials Chemistry and 12 papers in Mechanical Engineering. Recurrent topics in Sheng Su's work include Thermochemical Biomass Conversion Processes (15 papers), Catalytic Processes in Materials Science (8 papers) and Coal and Its By-products (5 papers). Sheng Su is often cited by papers focused on Thermochemical Biomass Conversion Processes (15 papers), Catalytic Processes in Materials Science (8 papers) and Coal and Its By-products (5 papers). Sheng Su collaborates with scholars based in China, Singapore and Egypt. Sheng Su's co-authors include Jun Xiang, Song Hu, Lushi Sun, Song Hu, Long Jiang, Kai Xu, Limo He, Xiaoning Yang, Peng Fu and Jing Wang and has published in prestigious journals such as PLoS ONE, Bioresource Technology and Journal of Cleaner Production.

In The Last Decade

Sheng Su

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng Su China 17 710 422 338 334 245 39 1.4k
Xinqian Shu China 24 1.1k 1.5× 654 1.5× 350 1.0× 292 0.9× 164 0.7× 64 1.8k
Qiang Song China 25 894 1.3× 642 1.5× 443 1.3× 191 0.6× 354 1.4× 64 2.0k
Wei Ping Chan Singapore 27 623 0.9× 397 0.9× 407 1.2× 537 1.6× 587 2.4× 64 1.9k
Javier Ábrego Spain 17 1.2k 1.8× 391 0.9× 214 0.6× 351 1.1× 159 0.6× 29 1.6k
Helena Lopes Portugal 23 942 1.3× 391 0.9× 222 0.7× 288 0.9× 283 1.2× 51 1.6k
Ningbo Gao China 21 1.1k 1.6× 549 1.3× 405 1.2× 470 1.4× 127 0.5× 41 1.8k
Kezhen Qian China 16 1.1k 1.6× 450 1.1× 233 0.7× 237 0.7× 90 0.4× 40 1.7k
Nana Peng China 21 1.0k 1.5× 430 1.0× 281 0.8× 288 0.9× 99 0.4× 32 1.7k
Tomoaki Namioka Japan 21 1.7k 2.4× 597 1.4× 417 1.2× 308 0.9× 202 0.8× 57 2.1k
Zhenghui Zhao China 27 917 1.3× 603 1.4× 394 1.2× 737 2.2× 213 0.9× 59 2.3k

Countries citing papers authored by Sheng Su

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Su

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Su. A scholar is included among the top collaborators of Sheng Su 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 Sheng Su. Sheng Su 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.
Su, Sheng, et al.. (2026). Interpretable machine learning prediction of biochar characteristics based on laser-Raman spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 351. 127474–127474.
2.
Mostafa, Mohamed E., Song Hu, Kai Xu, et al.. (2025). Nonlinear mechanism of carbon dioxide on the release of volatile matter from bituminous coal combustion at high heating rate. Fuel. 398. 135531–135531.
3.
He, Limo, Yufan Yang, Yanglin Chen, et al.. (2025). Joule heating of CuO-ZnO/Ni foam catalyst for high H2 production and energy-saving of methanol decomposition: From the performance to mechanism. Chemical Engineering Journal. 512. 162325–162325. 3 indexed citations
4.
Du, Liping, Song Hu, Sheng Su, et al.. (2025). Atomically dispersed Pt and Pt clusters on CeO2 supports for H2 production via low-temperature water-gas shift reaction. Progress in Solid State Chemistry. 78. 100520–100520. 1 indexed citations
5.
Du, Liping, Limo He, Song Hu, et al.. (2025). Tailoring Cu–CeO₂ catalysts to elucidate the morphology–activity relationship in low-temperature water–gas shift reaction. Journal of Colloid and Interface Science. 704(Pt 2). 139458–139458.
6.
Wang, Jing, et al.. (2025). Research on the aesthetic sensitivity evaluation of tourism mascots based on semantic differential method. PLoS ONE. 20(2). e0318715–e0318715. 1 indexed citations
7.
Song, Yawei, Sheng Su, Zheng Zhao, et al.. (2024). Effects of inorganic sodium on the soot generation of coal particle: Insights with PLIF and DFT calculation. Fuel. 371. 132012–132012. 4 indexed citations
8.
Liu, Tao, Sheng Su, Lijun Liu, et al.. (2024). Mechanistic investigation of the suppressed N2O formation during the low-temperature NH3-SCR over the Sb-modified Mn/Ti catalyst. Chemical Engineering Journal. 499. 156301–156301. 11 indexed citations
9.
Wang, Cong, Gang Xu, Jun Xu, et al.. (2024). Modeling and forecasting of coal price based on influencing factors and time series. Journal of Cleaner Production. 467. 143030–143030. 9 indexed citations
10.
Deng, Wei, Kai Xu, Jun Xu, et al.. (2024). Importance of Physical/Chemical Interactions between Rice Husk and Polypropylene during Their Copyrolysis. Energy & Fuels. 38(14). 13061–13068. 1 indexed citations
11.
Qing, Mengxia, Linlin Zhang, Yaxin Chen, et al.. (2023). Depth investigation of the regulation mechanism of SiO2 on the denitrification performance and sulfur resistance of MnCe/Ti SCR catalyst. Chemical Engineering Journal. 475. 145852–145852. 16 indexed citations
12.
Ren, Qiangqiang, Limo He, Hanjian Li, et al.. (2020). Formation of highly graphitic char derived from phenolic resin carbonization by Ni-Zn-B alloy. Environmental Science and Pollution Research. 27(18). 22639–22647. 12 indexed citations
13.
Wang, Yi, Long Jiang, Song Hu, et al.. (2017). Evolution of structure and activity of char-supported iron catalysts prepared for steam reforming of bio-oil. Fuel Processing Technology. 158. 180–190. 42 indexed citations
15.
Hu, Song, Jun Xiang, Haiping Yang, et al.. (2014). Kinetic models comparison for steam gasification of coal/biomass blend chars. Bioresource Technology. 171. 253–259. 51 indexed citations
16.
Yu, Jie, Lushi Sun, Jun Xiang, et al.. (2014). New Method of Quantitative Determination of the Carbon Source in Blast Furnace Flue Dust. Energy & Fuels. 28(11). 7235–7242. 16 indexed citations
17.
Jiang, Long, Song Hu, Sheng Su, et al.. (2013). Influence of different demineralization treatments on physicochemical structure and thermal degradation of biomass. Bioresource Technology. 146. 254–260. 195 indexed citations
18.
Yu, Jie, Lushi Sun, Jun Xiang, Song Hu, & Sheng Su. (2012). Kinetic vaporization of heavy metals during fluidized bed thermal treatment of municipal solid waste. Waste Management. 33(2). 340–346. 41 indexed citations
19.
Fu, Peng, Song Hu, Jun Xiang, et al.. (2012). Evaluation of the porous structure development of chars from pyrolysis of rice straw: Effects of pyrolysis temperature and heating rate. Journal of Analytical and Applied Pyrolysis. 98. 177–183. 208 indexed citations
20.
Sun, Lushi, Jinming Shi, Jun Xiang, et al.. (2011). Study on surface functional group characteristics of Yanzhou coal for thermal maturity. Asia-Pacific Journal of Chemical Engineering. 7(S2).

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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