Ran Tao

21.6k total citations · 13 hit papers
588 papers, 14.6k citations indexed

About

Ran Tao is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Ran Tao has authored 588 papers receiving a total of 14.6k indexed citations (citations by other indexed papers that have themselves been cited), including 233 papers in Computer Vision and Pattern Recognition, 138 papers in Aerospace Engineering and 127 papers in Media Technology. Recurrent topics in Ran Tao's work include Image and Signal Denoising Methods (144 papers), Mathematical Analysis and Transform Methods (118 papers) and Remote-Sensing Image Classification (102 papers). Ran Tao is often cited by papers focused on Image and Signal Denoising Methods (144 papers), Mathematical Analysis and Transform Methods (118 papers) and Remote-Sensing Image Classification (102 papers). Ran Tao collaborates with scholars based in China, United States and Germany. Ran Tao's co-authors include Wei Li, Qian Du, Mengmeng Zhang, Tao Shan, Yue Wang, Yuxiang Zhang, Lu Li, Yue Wang, Feng Zhang and Heng-Chao Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Advanced Functional Materials.

In The Last Decade

Ran Tao

539 papers receiving 14.2k citations

Hit Papers

An international consensus for assessing internet gaming ... 2010 2026 2015 2020 2014 2010 2021 2022 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ran Tao China 64 5.5k 4.7k 2.7k 1.8k 1.7k 588 14.6k
Yuan Yan Tang China 48 5.4k 1.0× 3.1k 0.7× 1.3k 0.5× 1.8k 1.0× 971 0.6× 495 10.6k
Yong Li China 67 6.1k 1.1× 1.7k 0.4× 1.3k 0.5× 5.6k 3.1× 328 0.2× 961 25.8k
Partha Niyogi United States 37 11.1k 2.0× 2.5k 0.5× 323 0.1× 7.9k 4.3× 620 0.4× 83 19.8k
Alexander J. Smola United States 42 8.8k 1.6× 1.6k 0.3× 455 0.2× 11.8k 6.4× 567 0.3× 100 25.2k
Carlo Tomasi United States 34 12.7k 2.3× 3.2k 0.7× 2.5k 0.9× 1.6k 0.9× 212 0.1× 91 17.2k
Daniel D. Lee United States 30 5.5k 1.0× 1.4k 0.3× 455 0.2× 4.6k 2.5× 588 0.3× 125 16.6k
Fei Wang China 49 5.4k 1.0× 1.5k 0.3× 781 0.3× 3.4k 1.9× 371 0.2× 567 11.5k
Azriel Rosenfeld United States 68 17.5k 3.2× 2.4k 0.5× 1.8k 0.6× 3.7k 2.0× 286 0.2× 502 26.1k
Joydeep Ghosh United States 48 3.7k 0.7× 1.9k 0.4× 302 0.1× 6.9k 3.8× 840 0.5× 308 14.9k
Ioannis Pitas Greece 62 12.4k 2.3× 1.5k 0.3× 609 0.2× 2.9k 1.6× 110 0.1× 656 16.3k

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-authorship network of co-authors of Ran Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Ran Tao. A scholar is included among the top collaborators of Ran Tao 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 Ran Tao. Ran Tao 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.
Wang, Peng, et al.. (2025). X-WebAgentBench: A Multilingual Interactive Web Benchmark for Evaluating Global Agentic System. 19320–19335. 1 indexed citations
3.
Hsu, Fu‐Chieh, et al.. (2025). Exploring the impact of hotel bundling strategies on family tourists: an emotion regulation approach. Tourism Recreation Research. 51(1). 238–254.
4.
Li, Yongzhe, et al.. (2025). The OFDM Waveform Design With Optimally Coded Subcarriers for Joint Sensing and Communications. IEEE Internet of Things Journal. 12(22). 47559–47574.
5.
Jia, Lijuan, et al.. (2024). Multiscale feature-based robust secure diffusion estimation with noisy input over adversarial networks. Digital Signal Processing. 155. 104719–104719. 1 indexed citations
6.
Liu, Xinyu, Qingsheng Yang, Xia Liu, Ran Tao, & Wei Rao. (2024). A visco-hyperelastic constitutive model of hydrogel considering the coupling effect between segment motion and interchain slippage. Journal of the Mechanics and Physics of Solids. 196. 105996–105996. 5 indexed citations
8.
Qin, Boao, Shou Feng, Chunhui Zhao, et al.. (2024). Hyperspherical Structural-Aware Distillation Enhanced Spatial–Spectral Bidirectional Interaction Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 7 indexed citations
9.
Zhang, Jinxin, Wei Li, Weidong Sun, Yuxiang Zhang, & Ran Tao. (2023). Locality Robust Domain Adaptation for cross-scene hyperspectral image classification. Expert Systems with Applications. 238. 121822–121822. 9 indexed citations
10.
Zhang, Fangfang, et al.. (2023). The influence of optimization algorithm on the signal prediction accuracy of VMD-LSTM for the pumped storage hydropower unit. Journal of Energy Storage. 78. 110187–110187. 24 indexed citations
11.
Yan, Cairong, et al.. (2023). MeFiNet: Modeling multi-semantic convolution-based feature interactions for CTR prediction. Intelligent Data Analysis. 28(1). 261–278. 1 indexed citations
12.
Zhang, Mengmeng, Xudong Zhao, Wei Li, et al.. (2023). Cross-Scene Joint Classification of Multisource Data With Multilevel Domain Adaption Network. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 11514–11526. 90 indexed citations breakdown →
13.
Zhao, Xudong, Mengmeng Zhang, Ran Tao, et al.. (2022). Cross-Domain Classification of Multisource Remote Sensing Data Using Fractional Fusion and Spatial-Spectral Domain Adaptation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 5721–5733. 17 indexed citations
14.
Shan, Tao, et al.. (2022). Person Identification With Low Training Sample Based on Micro-Doppler Signatures Separation. IEEE Sensors Journal. 22(9). 8846–8857. 7 indexed citations
15.
Zhao, Xudong, Ran Tao, Wei Li, Wilfried Philips, & Wenzhi Liao. (2021). Fractional Gabor Convolutional Network for Multisource Remote Sensing Data Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–18. 69 indexed citations
16.
Huang, Zhanchao, et al.. (2021). LO-Det: Lightweight Oriented Object Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 69 indexed citations
17.
Tao, Ran, et al.. (2019). Analysis and comparison of discrete fractional fourier transforms. Signal Processing. 160. 284–298. 41 indexed citations
18.
Li, Zhenyang, Ran Tao, Efstratios Gavves, Cees G. M. Snoek, & A.W.M. Smeulders. (2017). Tracking by Natural Language Specification. UvA-DARE (University of Amsterdam). 7350–7358. 103 indexed citations
19.
Qin, Yu, Ming Wu, Jingzhen Yang, et al.. (2009). [Study on the situation of seat belt wearing among drivers and front-seat passengers of vehicles in Nanjing in 2005-2007].. PubMed. 30(5). 459–61. 2 indexed citations
20.
Cheng, Jing, Pu Dai, Ran Tao, et al.. (2007). A novel DFNA5 mutation, IVS8+4 A>G, in the splice donor site of intron 8 causes late‐onset non‐syndromic hearing loss in a Chinese family. Clinical Genetics. 72(5). 471–477. 52 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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