Yongxin Su

1.4k total citations · 1 hit paper
46 papers, 848 citations indexed

About

Yongxin Su is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yongxin Su has authored 46 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 11 papers in Control and Systems Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yongxin Su's work include Smart Grid Energy Management (21 papers), Energy Load and Power Forecasting (14 papers) and Electric Vehicles and Infrastructure (6 papers). Yongxin Su is often cited by papers focused on Smart Grid Energy Management (21 papers), Energy Load and Power Forecasting (14 papers) and Electric Vehicles and Infrastructure (6 papers). Yongxin Su collaborates with scholars based in China, United Kingdom and Hong Kong. Yongxin Su's co-authors include Mao Tan, Hui Li, Shuaihu Li, Feng He, Hongbo Huang, Yahui Liu, Wei‐Jun Chen, Xiuying Wang, Rui Wang and Ling Wang and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and IEEE Transactions on Power Systems.

In The Last Decade

Yongxin Su

45 papers receiving 813 citations

Hit Papers

YOLO-FaceV2: A scale and occlusion aware face detector 2024 2026 2025 2024 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. YOLO-FaceV2: A scale and occlusion aware face detector
    2024 136 citations Hongbo Huang, Wei‐Jun Chen et al. Pattern Recognition profile →

Peers

Yongxin Su
Lingzhi Yi China
Oveis Abedinia Iran
Juliano Pierezan Brazil
Mojtaba Ghasemi Iran
Weian Guo China
Mao Tan China
Elena Mocanu Netherlands
Janusz Kolbusz Poland
Lingzhi Yi China
Yongxin Su
Citations per year, relative to Yongxin Su Yongxin Su (= 1×) peers Lingzhi Yi

Countries citing papers authored by Yongxin Su

Since Specialization
Citations

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

Fields of papers citing papers by Yongxin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongxin Su

This figure shows the co-authorship network connecting the top 25 collaborators of Yongxin Su. A scholar is included among the top collaborators of Yongxin 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 Yongxin Su. Yongxin 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.
Tan, Mao, et al.. (2025). Massive Coordination of Distributed Energy Resources in VPP: A Mean Field RL-Based Bi-Level Optimization Approach. IEEE Transactions on Cybernetics. 55(3). 1332–1346. 4 indexed citations
2.
Tan, Mao, et al.. (2025). LFArc-PFE: A Series Arc Fault Detection Method Based on Low-Frequency Current Data and Perturbation Feature Extraction. IEEE Transactions on Instrumentation and Measurement. 74. 1–11. 2 indexed citations
3.
Su, Yongxin, et al.. (2024). Integrating few-shot personalized thermal comfort model and reinforcement learning for HVAC demand response optimization. Journal of Building Engineering. 91. 109509–109509. 12 indexed citations
4.
5.
Tan, Mao, et al.. (2024). Federated Reinforcement Learning for smart and privacy-preserving energy management of residential microgrids clusters. Engineering Applications of Artificial Intelligence. 139. 109579–109579. 7 indexed citations
6.
Tan, Mao, et al.. (2024). Two-Stage Adaptive Robust Charging Scheduling of Electric Vehicle Station Based on Hybrid Demand Response. IEEE Transactions on Transportation Electrification. 11(1). 1442–1454. 4 indexed citations
7.
Su, Yongxin, et al.. (2024). Integrating Graph Signal Processing and Multitask Temporal Convolutional Networks for Household Nonintrusive Load Monitoring. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 9 indexed citations
8.
Huang, Hongbo, et al.. (2024). YOLO-FaceV2: A scale and occlusion aware face detector. Pattern Recognition. 155. 110714–110714. 136 indexed citations breakdown →
9.
Chen, Zhigang, et al.. (2024). Nonintrusive load disaggregation by fusion of graph signal processing and CNN. Journal of Physics Conference Series. 2853(1). 12061–12061. 1 indexed citations
10.
11.
Su, Yongxin, Tao Zhang, Mengyao Xu, et al.. (2023). Rough knowledge enhanced dueling deep Q-network for household integrated demand response optimization. Sustainable Cities and Society. 101. 105065–105065. 7 indexed citations
12.
Xiao, Jun, et al.. (2023). Nonintrusive Load Identification Considering Unknown Load Based on Bimodal Fusion and One-Class Classification. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 4 indexed citations
13.
Su, Yongxin, et al.. (2023). Fusing domain knowledge and reinforcement learning for home integrated demand response online optimization. Engineering Applications of Artificial Intelligence. 121. 105995–105995. 5 indexed citations
14.
Tan, Mao, et al.. (2022). Bi-level optimization of charging scheduling of a battery swap station based on deep reinforcement learning. Engineering Applications of Artificial Intelligence. 118. 105557–105557. 33 indexed citations
15.
Tan, Mao, Yuqing Zhou, Ling Wang, et al.. (2021). Fair-efficient energy trading for microgrid cluster in an active distribution network. Sustainable Energy Grids and Networks. 26. 100453–100453. 24 indexed citations
16.
Yang, Zhaoqi, et al.. (2019). RNase H amplified RNA probe and graphene oxide system for highly sensitive detection of (CAG)n DNA repeat sequences. Nanotechnology. 30(46). 465502–465502. 7 indexed citations
17.
Tan, Mao, et al.. (2019). Ultra-Short-Term Industrial Power Demand Forecasting Using LSTM Based Hybrid Ensemble Learning. IEEE Transactions on Power Systems. 35(4). 2937–2948. 240 indexed citations
18.
Tan, Mao, et al.. (2019). Genetic algorithms with greedy strategy for green batch scheduling on non-identical parallel machines. Memetic Computing. 11(4). 439–452. 18 indexed citations
19.
Duan, Bin, et al.. (2017). An active security defense strategy for wind farm based on automated decision. 1–5. 4 indexed citations
20.
Tan, Mao, et al.. (2017). A learning-based approach to text image retrieval: using CNN features and improved similarity metrics. arXiv (Cornell University). 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Lingzhi Yi Breakdown of academic impact, for papers by Oveis Abedinia Breakdown of academic impact, for papers by Juliano Pierezan Breakdown of academic impact, for papers by Mojtaba Ghasemi Breakdown of academic impact, for papers by Weian Guo Breakdown of academic impact, for papers by Mao Tan Breakdown of academic impact, for papers by Elena Mocanu Breakdown of academic impact, for papers by Janusz Kolbusz
Rankless by CCL
2026