Ran Tao

723 citations
44 papers · 444 · h-index 13

Impact in

Papers in

Ran Tao

43 papers receiving 421 citations

Peers

Ran Tao
Comparison fields: 5 of 102
  • Energy Engineering and Power Technology 18
  • Signal Processing 50
  • Cognitive Neuroscience 78
  • Computer Vision and Pattern Recognition 74
  • Control and Systems Engineering 79
Replace Tariqullah Jan with:
Tariqullah Jan Pakistan
Luis E. Falcón-Morales Mexico
Yifan Xu China
Wenhua Cui China
Tongguang Ni China
Jigang Tong China
Shahzad Muzaffar United Arab Emirates
Eduardo Giraldo Colombia
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Citations per field
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Citations per year

Countries citing papers authored by Ran Tao

Since Specialization
Citations

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

Fields of papers citing papers by Ran Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ran Tao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ran Tao Line = papers co-authored together Ran Tao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201580
2 201566
3 201641
4 202222
5 201921
6 201520
7 201719
8 201318
9 201618
10 202118
11 202013
12 202313
13 200612
14
Hilbert Transform Associated with the Linear Canonical Transform
200610
15
Research progress in theories and applications of the fractional Fourier transform
20188
16
Chirp-Rate Resolution of Fractional Fourier Transform in Multi-component LFM Signal
20094
17
Fractional Fourier transform and time-frequency filtering
20044
18 20174
19 20144
20 20174

About Ran Tao

Ran Tao is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 44 papers that have together received 444 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (5 papers), Machine Fault Diagnosis Techniques (5 papers), Smart Grid Energy Management (4 papers), Image and Signal Denoising Methods (4 papers), Integrated Energy Systems Optimization (4 papers), Elevator Systems and Control (3 papers), Fault Detection and Control Systems (3 papers) and Evaluation Methods in Various Fields (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (18 citations), Signal Processing (50 citations), Cognitive Neuroscience (78 citations), Computer Vision and Pattern Recognition (74 citations) and Control and Systems Engineering (79 citations). Ran Tao has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Dongmei Zhao, Stefan Poslad, Stuart E. Middleton, Haoxiang Wang, Khairi Ashour Hamdi, Abdelhamid Salem, Fernando Cháves, Öcal Necmioğlu, Gang Wang and Xiangguo Yan. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Access, IEEE Communications Letters, Electric Power Systems Research and Energies.

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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