Sheng Su

1.0k total citations
100 papers, 728 citations indexed

About

Sheng Su is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Sheng Su has authored 100 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Electrical and Electronic Engineering, 39 papers in Control and Systems Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Sheng Su's work include Power Systems Fault Detection (16 papers), Smart Grid Security and Resilience (12 papers) and Power Systems and Technologies (10 papers). Sheng Su is often cited by papers focused on Power Systems Fault Detection (16 papers), Smart Grid Security and Resilience (12 papers) and Power Systems and Technologies (10 papers). Sheng Su collaborates with scholars based in China, Hong Kong and United States. Sheng Su's co-authors include W.L. Chan, Xianzhong Duan, Xiangjun Zeng, K.K. Li, Brad Lehman, Zhenghua Wu, Dongyuan Shi, Dechen Zhan, Yuanyuan Wang and Peng Li and has published in prestigious journals such as Nano Letters, PLoS ONE and IEEE Transactions on Industrial Electronics.

In The Last Decade

Sheng Su

92 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sheng Su China	13	478	420	100	71	61	100	728
Jing Xie United States	12	463 1.0×	421 1.0×	106 1.1×	20 0.3×	21 0.3×	50	612
Akhilesh Singh India	16	294 0.6×	110 0.3×	83 0.8×	55 0.8×	80 1.3×	49	639
Cristinel Ababei United States	18	816 1.7×	135 0.3×	346 3.5×	42 0.6×	40 0.7×	89	1.1k
Anurag Sharma Singapore	15	621 1.3×	383 0.9×	56 0.6×	108 1.5×	61 1.0×	72	824
Chen Fang China	21	1.3k 2.8×	949 2.3×	85 0.8×	191 2.7×	57 0.9×	129	1.6k
Sushama Wagh India	14	534 1.1×	382 0.9×	132 1.3×	36 0.5×	69 1.1×	84	806
Rabindra Nath Shaw India	15	320 0.7×	193 0.5×	63 0.6×	98 1.4×	76 1.2×	66	631
S. Prabhakar Karthikeyan India	15	674 1.4×	234 0.6×	43 0.4×	81 1.1×	101 1.7×	106	967

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

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

20 of 20 papers shown

Su, Sheng, et al.. (2025). A data-driven method approach for prediction of coal seam gas content combining feature selection and machine learning. Engineering Applications of Artificial Intelligence. 160. 112000–112000.

Su, Sheng & Junxiang Yang. (2025). Maximum principle-preserving, unconditionally energy-stable, and convergent method with second-order accuracy for the phase-field model of image inpainting. Computers & Mathematics with Applications. 183. 32–45. 1 indexed citations

Yang, Hongming, et al.. (2025). Anomaly Usage Behavior Detection Based on Multi-Source Water and Electricity Consumption Information. IEEE Access. 13. 12215–12224. 1 indexed citations

Su, Sheng, Renjun Gao, & Junxiang Yang. (2025). Second-order accurate, maximum principle-preserving, and convergent schemes for the phase-field shape transformation model. Engineering With Computers. 41(6). 4665–4697.

Wang, Lihua, Yijia Guo, Yuxiang Huang, et al.. (2025). Bio-based phytic acid–L-citrulline–chitosan flame retardant: Synthesis, flame retardancy, smoke suppression, and mechanism in transparent melamine resin coatings for oriented strand board. Polymer Degradation and Stability. 243. 111755–111755. 1 indexed citations

Su, Sheng & Junxiang Yang. (2025). Semi-analytical penalized threshold dynamics method for binary image segmentation. Mathematics and Computers in Simulation. 241. 452–472.

Su, Sheng, et al.. (2025). Effect of heavy-duty engines aftertreatment system on particle emission properties above 10 nm. Fuel. 402. 135870–135870. 1 indexed citations

Sun, Siyang, et al.. (2025). Multi‐Step Prediction Method for Wind Power: A Framework Integrating CNN–RNN–LGBM Models. IET Renewable Power Generation. 19(1).

Li, Bin, et al.. (2024). Joint distribution of lightning and wind speed and its impact on the transmission system. Frontiers in Energy Research. 11. 1 indexed citations

10.

Su, Sheng, et al.. (2024). Anomaly detection of photovoltaic power generation based on quantile regression recurrent neural network. Electric Power Systems Research. 238. 111132–111132. 1 indexed citations

11.

Su, Sheng & Junxiang Yang. (2024). Unconditionally stable algorithm with unique solvability for image inpainting using a penalized Allen–Cahn equation. Communications in Nonlinear Science and Numerical Simulation. 142. 108503–108503. 2 indexed citations

12.

Chen, Hui-Xia, et al.. (2023). Photovoltaic Power-Stealing Identification Method Based on Similar-Day Clustering and QRLSTM Interval Prediction. Applied Sciences. 13(6). 3506–3506. 2 indexed citations

13.

Xiao, Hao, et al.. (2023). Electricity Theft Detection of Residential Users With Correlation of Water and Electricity Usage. IEEE Transactions on Industrial Informatics. 20(4). 5339–5351. 7 indexed citations

14.

Su, Sheng, et al.. (2022). Defect Detection for Mechanical Design Products with Faster R-CNN Network. Mathematical Problems in Engineering. 2022. 1–11. 4 indexed citations

15.

Xiao, Hao, et al.. (2022). Experimental Findings and Theoretical Explanations on Time-Varying Immunity of LCC-HVdc Inverters to Commutation Failure Caused by Sending End AC Faults. IEEE Transactions on Industrial Electronics. 70(10). 10180–10194. 4 indexed citations

16.

Su, Sheng, et al.. (2019). An artificial bee colony algorithm with variable neighborhood search and tabu list for long-term carpooling problem with time window. Applied Soft Computing. 85. 105814–105814. 20 indexed citations

17.

Su, Sheng, et al.. (2017). Startup Speed with Dead Band in Wind Farms with Low-Medium Wind Speed Profile—Case Study of Hong Kong. Energy and Power Engineering. 9(4). 562–572. 2 indexed citations

18.

Wu, Zhenghua & Sheng Su. (2014). A Dynamic Selection Method for Reference Electrode in SSVEP-Based BCI. PLoS ONE. 9(8). e104248–e104248. 7 indexed citations

19.

Su, Sheng, Xianzhong Duan, W.L. Chan, & Zhihuan Li. (2009). Erroneous measurement detection in substation automation system using OLS based RBF neural network. International Journal of Electrical Power & Energy Systems. 31(7-8). 351–355. 11 indexed citations

20.

Su, Sheng, et al.. (2005). AN EXPERT SYSTEM FOR WIDE AREA PROTECTION SYSTEM PROTECTION ZONE SELECTION. Power System Technology. 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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