Runhai Jiao

1.2k total citations
39 papers, 858 citations indexed

About

Runhai Jiao is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Runhai Jiao has authored 39 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 13 papers in Computer Vision and Pattern Recognition and 9 papers in Control and Systems Engineering. Recurrent topics in Runhai Jiao's work include Energy Load and Power Forecasting (12 papers), Image and Signal Denoising Methods (6 papers) and Advanced Data Compression Techniques (5 papers). Runhai Jiao is often cited by papers focused on Energy Load and Power Forecasting (12 papers), Image and Signal Denoising Methods (6 papers) and Advanced Data Compression Techniques (5 papers). Runhai Jiao collaborates with scholars based in China, United States and India. Runhai Jiao's co-authors include Hui He, Yuancheng Li, Tianming Zhang, Wei Tian, Junqiang Wei, Tianming Yang, Xuejie Wu, Yuancheng Li, Yang Qiu and Nanyan Lu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Smart Grid.

In The Last Decade

Runhai Jiao

38 papers receiving 828 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runhai Jiao China 14 476 309 200 151 120 39 858
Syed Muhammad Mohsin Pakistan 15 535 1.1× 305 1.0× 292 1.5× 165 1.1× 62 0.5× 40 1.0k
Nasir Ayub Pakistan 16 294 0.6× 203 0.7× 87 0.4× 80 0.5× 51 0.4× 52 657
Jorge Ortiz United States 13 286 0.6× 132 0.4× 313 1.6× 107 0.7× 72 0.6× 32 742
Javier M. Aguiar Spain 17 1.1k 2.3× 355 1.1× 197 1.0× 265 1.8× 47 0.4× 38 1.5k
Oveis Abedinia Iran 14 798 1.7× 321 1.0× 59 0.3× 210 1.4× 35 0.3× 17 1.2k
Mohamed Massaoudi Qatar 15 604 1.3× 298 1.0× 57 0.3× 197 1.3× 35 0.3× 40 937
Thokozani Shongwe South Africa 17 633 1.3× 162 0.5× 172 0.9× 99 0.7× 139 1.2× 127 1.2k
Raniyah Wazirali Saudi Arabia 14 261 0.5× 194 0.6× 374 1.9× 77 0.5× 82 0.7× 38 776
Guangyi Liu United States 18 1.2k 2.5× 308 1.0× 77 0.4× 483 3.2× 39 0.3× 98 1.6k
Khmaies Ouahada South Africa 20 657 1.4× 260 0.8× 380 1.9× 363 2.4× 138 1.1× 114 1.3k

Countries citing papers authored by Runhai Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Runhai Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runhai Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Runhai Jiao. A scholar is included among the top collaborators of Runhai Jiao 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 Runhai Jiao. Runhai Jiao 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.
Jiao, Runhai, et al.. (2025). YOLO–DTAD: Dynamic Task Alignment Detection Model for Multicategory Power Defects Image. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 1 indexed citations
2.
Li, Xiang, et al.. (2025). Actively masked reasoning over knowledge graphs for fault diagnosis under insufficient information condition. Expert Systems with Applications. 295. 128854–128854. 1 indexed citations
3.
Jiao, Runhai, et al.. (2023). A Defective Bolt Detection Model With Attention-Based RoI Fusion and Cascaded Classification Network. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 11 indexed citations
4.
Wei, Junqiang, Xuejie Wu, Tianming Yang, & Runhai Jiao. (2023). Ultra-short-term forecasting of wind power based on multi-task learning and LSTM. International Journal of Electrical Power & Energy Systems. 149. 109073–109073. 78 indexed citations
5.
Jiao, Runhai, et al.. (2023). A Gradient-Based Wind Power Forecasting Attack Method Considering Point and Direction Selection. IEEE Transactions on Smart Grid. 15(3). 3178–3192. 5 indexed citations
6.
Jiao, Runhai, et al.. (2023). A Context-Aware Multi-Event Identification Method for Nonintrusive Load Monitoring. IEEE Transactions on Consumer Electronics. 69(2). 194–204. 20 indexed citations
7.
Jiao, Runhai, et al.. (2021). A Deep Learning Model for Small-size Defective Components Detection in Power Transmission Tower. IEEE Transactions on Power Delivery. 37(4). 2551–2561. 22 indexed citations
8.
Jiao, Runhai, et al.. (2021). A New AC False Data Injection Attack Method Without Network Information. IEEE Transactions on Smart Grid. 12(6). 5280–5289. 40 indexed citations
9.
He, Hui, et al.. (2021). Pin-missing defect recognition based on feature fusion and spatial attention mechanism. Energy Reports. 8. 656–663. 7 indexed citations
10.
Jiao, Runhai, et al.. (2021). Adaptive Feature Selection and Construction for Day-Ahead Load Forecasting Use Deep Learning Method. IEEE Transactions on Network and Service Management. 18(4). 4019–4029. 23 indexed citations
11.
He, Hui, et al.. (2020). Day-ahead Load Probabilistic Forecasting Based on Space-time Correction. Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 14(3). 360–374.
13.
Jiao, Runhai, et al.. (2018). Short-Term Non-Residential Load Forecasting Based on Multiple Sequences LSTM Recurrent Neural Network. IEEE Access. 6. 59438–59448. 100 indexed citations
14.
Jiao, Runhai, et al.. (2016). Incremental kernel fuzzy c-means with optimizing cluster center initialization and delivery. Kybernetes. 45(8). 1273–1291. 2 indexed citations
15.
Li, Yuancheng, et al.. (2015). A Hybrid Malicious Code Detection Method based on Deep Learning. International Journal of Security and Its Applications. 9(5). 205–216. 157 indexed citations
16.
Jiao, Runhai, et al.. (2010). Detection of cladding ice on transmission line based on SVM and mathematical morphology. 2010 3rd International Congress on Image and Signal Processing. 29. 1624–1628. 3 indexed citations
17.
Li, Yuancheng, Pan Li, & Runhai Jiao. (2010). An intrusion detection method based on LLE and BVM. 290. V2–264. 1 indexed citations
18.
Jiao, Runhai. (2010). Performance Comparison Between AVC I-Frame Coding and JPEG2000. 6. 315–318. 1 indexed citations
19.
Li, Yuancheng, Runhai Jiao, & Bo Li. (2006). Wavelet image compression based on support vector machines. Beijing Hangkong Hangtian Daxue xuebao. 32(5). 598. 1 indexed citations
20.
Jiao, Runhai, et al.. (2005). Remote sensing image compression based on visual model and image feature. Beijing Hangkong Hangtian Daxue xuebao. 31(2). 197. 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.

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